How To Modify Metadata Jobs in Usa

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Metadata Strategies Librarian - Library
Salary not disclosed
Berkeley, CA 3 days ago
Position overview

Position title:
Associate Librarian - Librarian, Career Status or Potential Career Status

Salary range:
The UC academic salary scales set the minimum and maximum pay determined by rank and salary point at appointment. See the following table(s) for the current salary scale(s) for this position: . A reasonable estimate for this position is $102,121-$119,820.

Percent time:
100%

Anticipated start:
As early as May 2026. Start date is flexible.

Position duration:
This is a full-time potential career appointment.

Application Window


Open date: February 23, 2026




Next review date: Monday, Mar 23, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.




Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The University of California, Berkeley Library seeks an innovative and collaborative Metadata Strategies Librarian to improve and transform the discovery of library resources by evaluating and implementing new and emerging workflows, standards, and technologies.



The Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at the nation's premier public university. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 33,070 undergraduate students, 12,812 graduate students, and 1,525 faculty. The Library comprises 20 campus libraries, including the Doe Library, the Moffitt Library, the Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive resources in all formats and robust services to connect users with the collections and build their research skills. Discover more about our collections and services at the UC Berkeley Library website.



The Metadata Services department is part of the Collection Services Division (CSD), along with the Acquisitions department and the Preservation department. Metadata Services supports resource discovery and access by cataloging and physically processing library resources in all formats and languages (except Chinese, Japanese, and Korean) for the University (Main) Library and subject specialty libraries. The department also performs database maintenance to ensure accurate metadata and enhance resource discoverability.



Responsibilities

Reporting to the Head of Metadata Services, the Metadata Strategies Librarian will help lead efforts to implement new metadata initiatives and maximize the use of technology and emerging standards to foster workflow efficiency and innovation. This position will develop and contribute to policies, standards, and services that enhance the discoverability of the Library's resources. The librarian will also support the Library's participation in the Program for Cooperative Cataloging (PCC).



Key responsibilities include:




  • Collaborates on the development and implementation of new metadata policies and workflows, such as linked data, to enhance access and discovery to the Library's collections.
  • Evaluates and implements emerging applications, such as artificial intelligence, and metadata standards with the goal of continually improving metadata quality and fostering workflow efficiency and innovation.
  • Participates in the creation, development, implementation, and revision of department and library policies and procedures.
  • Develops, implements, and oversees metadata remediation and enrichment projects to support current and future discoverability.
  • Provides training to department and library staff.
  • Develops and maintains collaborative relationships across the Library and beyond.
  • Serves as liaison to the Program for Cooperative Cataloging (PCC).


The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments, and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.



UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit. Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits.



UC Berkeley Website:

UC Berkeley Library Statement of Values: about/library-values



Qualifications

Basic qualifications (required at time of application)

Advanced degree.



Additional qualifications (required at time of start)

Five years of professional cataloging or metadata creation experience using Resource Description and Access (RDA), Library of Congress Subject Headings (LCSH), Library of Congress Classification (LCC), and MARC 21 formats.



Preferred qualifications

  • Master's degree from an American Library Association (ALA) accredited program or equivalent degree.
  • Expert knowledge of latest cataloging standards and best practices (e.g., Resource Description and Access (RDA), Library of Congress Subject Headings (LCSH), Library of Congress Classification (LCC), MARC 21 formats for bibliographic and authority data, BIBCO Standard Record (BSR), CONSER Standard Record (CSR), etc.).
  • Experience cataloging information resources in various formats (e.g., print and electronic books and serials, DVD and Blu-ray discs, music and non-music audio recordings, music scores, etc.).
  • Experience using an integrated library system (ILS), preferably Ex Libris' Alma.
  • Experience using OCLC Connexion Client or WorldShare Record Manager.
  • Experience evaluating, analyzing, and remediating metadata in batch using MarcEdit or other tools.
  • Knowledge of and experience with non-MARC metadata.
  • Experience contributing to the Program for Cooperative Cataloging (PCC), including to BIBCO, CONSER, NACO, or SACO.
  • Knowledge of emerging cataloging and metadata standards and technologies such as artificial intelligence and linked data.
  • Experience in an academic library setting.
  • Demonstrated success managing projects, leading and implementing change.
  • Demonstrated ability to work collaboratively with various groups, both internally and externally.
  • Ability to independently learn new skills and techniques to improve efficiency and work outcomes.
  • Experience writing clear and effective procedures and documentation.
  • Experience preparing and providing instruction or training to diverse learners.
  • Excellent communication, critical thinking, analytical, and problem solving skills.
  • Demonstrated commitment to the Library's Values.


Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter




Reference requirements
  • 3-5 required (contact information only)

References will only be contacted for individuals under serious consideration.



Apply link:
JPF04956

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
System Administrator - Microsoft Purview (Data Catalog & Governance)
Salary not disclosed
Raleigh, NC 2 days ago
Role: System Administrator - Microsoft Purview (Data Catalog & Governance)

Location: 100% Remote

Duration: 12+ Months

Overview:

An experienced Administrator to operate and support the enterprise implementation of Microsoft Purview Data Catalog across a complex, multi-platform data environment. The administrator will be responsible for the day-to-day configuration, monitoring, and maintenance of Purview capabilities, ensuring reliable metadata ingestion, catalog quality, lineage visibility, and compliance alignment across governed data domains.

This role focuses on platform operations and governance execution, working within established architecture and enterprise governance standards.

Key Responsibilities

Platform Administration & Operations:


  • Administer and operate Microsoft Purview Data Map and Data Catalog environments.
  • Monitor platform health, scan execution, metadata ingestion, and lineage availability.
  • Troubleshoot and resolve catalog, scan, and connectivity issues.
  • Perform routine maintenance, configuration updates, and service optimizations.
  • Coordinate incident resolution with internal engineering teams and Microsoft support as required.

Data Source Management & Scanning:


  • Register, configure, and maintain data sources across Azure, M365, on?prem, and approved third?party platforms.
  • Configure and schedule metadata scans for supported sources.
  • Manage authentication for scans using managed identities, service principals, and Key Vault secrets.
  • Monitor scan performance, failures, and coverage; take corrective action as needed.
  • Optimize scan frequency and scope to balance cost, performance, and governance coverage.

Catalog Configuration & Metadata Management:


  • Maintain and enforce enterprise metadata standards within the Purview Catalog.
  • Manage business metadata, classifications, glossary terms, and custom attributes.
  • Ensure metadata accuracy, completeness, and consistency across data assets.
  • Support curation activities including asset certification and publishing.
  • Resolve duplicate, incomplete, or stale catalog entries.

Lineage & Discovery Enablement:


  • Enable and validate data lineage ingestion from supported data platforms.
  • Monitor lineage completeness and visibility for critical data assets.
  • Assist data consumers and stewards with lineage?based impact analysis.
  • Escalate lineage gaps or tool limitations requiring architectural or engineering remediation.

Security, Access & Governance Controls:


  • Configure and manage Purview role?based access control (RBAC) within collections.
  • Provision and maintain access for administrators, data curators, and data stewards.
  • Enforce domain?based access controls and separation of duties.
  • Integrate Purview access with Microsoft Entra ID.
  • Support sensitivity labels and classification alignment with Microsoft Information Protection.

Compliance & Risk Support:


  • Support automated discovery of sensitive data (PII, PCI, PHI).
  • Assist risk, audit, and compliance teams with catalog evidence and reporting.
  • Validate scan coverage for regulated data domains.
  • Support regulatory and audit initiatives (SOX, GLBA, NYDFS, GDPR, etc.).

User Support & Enablement:


  • Provide operational support to data producers, consumers, and data stewards.
  • Respond to access requests, catalog issues, and usage questions.
  • Maintain operational documentation, runbooks, and standard operating procedures.
  • Support onboarding of new data domains following established governance patterns.
  • Assist with training and adoption initiatives led by governance or architecture teams.


Required Qualifications:


  • 5+ years experience supporting enterprise data platforms or governance tools and 4+ years hands?on MS Purview experience at enterprise scale.
  • Hands?on experience administering Microsoft Purview Data Catalog.
  • Strong understanding of metadata management, data classification, and lineage concepts.
  • Working knowledge of Azure data services and enterprise data ecosystems.
  • Experience managing access controls and identities using Microsoft Entra ID.
  • Familiarity with regulated data environments and compliance requirements.
  • Strong troubleshooting, operational support, and documentation skills.


Preferred Qualifications:


  • Experience supporting Purview integrations with Synapse, Fabric, Databricks, Snowflake, or SQL Server.
  • Exposure to financial services or other regulated industries.
  • Experience with PowerShell, REST APIs, or basic automation for operational tasks.
  • Prior experience supporting enterprise data governance or stewardship programs.
Not Specified
Data Steward Specialist
🏢 Macy's
Salary not disclosed
Johns Creek, GA 1 week ago

Be part of an amazing story

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.


Job Overview

The Data Steward plays a direct role in making Macy’s data usable, trusted, and decision-ready. This role owns the quality and clarity of data definitions in the enterprise catalog, ensuring teams can quickly find, understand, and confidently use data to drive business outcomes. Partnering closely with analytics, product, and engineering teams, the Data Steward helps turn complex data into a reliable asset that powers everyday decisions across the company.


What You Will Do

  • Maintain and enhance the Enterprise Data Catalog, including domains, assets, attributes, KPIs, definitions, and relationships.
  • Collaborate with business and technical stakeholders to define and enforce metadata standards, naming conventions, and certification workflows.
  • Validate technical metadata and lineage ingested from multiple sources.
  • Monitor catalog usage and provide training and support to end users.
  • Partner with data owners and stewards to ensure proper data ownership and stewardship assignments.
  • Develop and maintain SOPs, training materials, and documentation.
  • Perform data profiling and quality checks to ensure metadata accuracy and completeness.
  • Define data quality checks with business stakeholders and validate implementation results.
  • Support the Data Governance Architect and other governance team members as needed.
  • Serve as subject matter expert for assigned data domains.


Skills You Will Need

  • Data Stewardship: Applies governance principles to maintain accurate and complete metadata across enterprise systems.
  • Collibra Expertise: Utilizes Collibra tools to manage data catalog assets and workflows effectively.
  • Metadata Management: Ensures consistency and compliance with established standards for metadata and lineage.
  • Data Quality Analysis: Conducts profiling and validation to maintain trusted data assets.
  • Communication: Builds strong relationships with stakeholders and conveys technical concepts clearly.
  • Regulatory Knowledge: Understands data privacy regulations such as GDPR and CCPA.


Who You Are

  • 2 to 3 years of experience in data stewardship, governance, and metadata management.
  • Skilled in Collibra with certification preferred.
  • Possesses a curious mindset to build a foundational understanding of the retail business sector.
  • Possesses high levels of ownership, innovation, and simplification with a strong bias for action.
  • Knowledgeable about data privacy regulations and data classification practices.
  • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.
  • Able to work a flexible schedule based on department and company needs.


What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities.

Some additional benefits we offer include:

  • Merchandise discounts
  • Performance-based incentives
  • Annual merit review
  • Employee Assistance Program with mental health counseling and legal/financial advice
  • Tuition reimbursement

Access the full menu of benefits offerings here.

Not Specified
IT Web Content Manager
✦ New
Salary not disclosed
Omaha, NE 1 day ago

The Web Content Manager plays a critical role in ensuring the quality, consistency, and effectiveness of Creighton's internal online content. This position involves overseeing web content management platforms including Salesforce CMS and Gather Content by Bynder including workflow, publishing, and management processes. The Web Content Manager also ensures compliance with governance and policies for significant changes and will work closely with university partners across various business units.



  • At all times employees are expected to uphold Creighton's core values and demonstrate commitment to valuing diversity and contributing to an inclusive working and learning environment, while adhering to all University Ethical Standards of Conduct, rules, regulations, and job requirements, including required educational trainings.
  • Web Content Administration and Management

    • CMS Management:

      • Oversee the utilization of CMS platforms (e.g., Salesforce and Drupal) by the University. Coordinate with University Communications, IT Leadership and others to ensure environments are meeting priorities.
      • Utilize content operation platforms like Gather Content to streamline content collection from various stakeholders throughout the campus. Manage templates, taxonomies, workflows, and updates within the application.
      • Collaborate with stakeholders to gather content requirements.
      • Coordinate content requests, deadlines, and approvals.
      • Manage content publishing, updates, and archiving.

    • Content Curation:

      • Curate content from internal teams, subject matter experts, and external contributors.
      • Ensure content aligns with brand guidelines and user needs. Provide feedback as necessary to content providers.
      • Ensure all content aligns with brand voice, style, and messaging.
      • Taxonomy and Metadata

        • Define content categories, tags, and metadata.
        • Optimize content discoverability and organization.

      • Provide training and access to users across the University to manage their own content and provide best practices to aid in maintenance of information.


  • Content Management Processes:

    • Workflow Design:

      • Develop efficient content workflows (creation, review, publishing).
      • Define roles and responsibilities within the content lifecycle.

    • Version Control:

      • Establish versioning protocols (e.g., semantic versioning).
      • Maintain version history for content updates.
      • Implement change tracking and approval mechanisms.

    • Content Archiving:

      • Regularly review and archive outdated or irrelevant content.
      • Ensure proper redirection for removed pages.

    • Taxonomy and Metadata:

      • Develop a taxonomy for categorizing content (tags, categories).
      • Apply relevant metadata to improve searchability.
      • Enhance content visibility in search results.


  • Search Engine Management and Review:

    • Keyword Research:

      • Collaborate with users to identify relevant keywords.
      • Analyze search volume, competition, and user intent.
      • Optimize content for search engines.

    • Best Practices:

      • Ensure content follows guidelines (meta tags, alt text, internal linking).
      • Optimize content around terms and phrases as necessary to best support internal audiences.
      • Monitor rankings and adjust strategies as needed.


  • Business Unit Engagement:

    • Stakeholder Collaboration:

      • Work closely with university partners to understand content needs.
      • Align content with goals.

    • User-Centric Approach:

      • Advocate for user needs and preferences.
      • Gather feedback from university partners and end-users.


  • Organizational Governance:

    • Change Management:

      • Collaborate with governance committees for significant content changes.
      • Obtain approvals for significant content changes (e.g., homepage updates).

    • Policy Adherence:

      • Ensure compliance with content policies (branding, legal, accessibility).
      • Educate content contributors on guidelines.



Qualifications:


* Bachelor's degree in communications, Marketing, Information Technology or related field.
* Proven experience (typically 3+ years) in web content management at a University or relatively similar organization.


Knowledge, Skills, and Abilities:


* Familiarity with CMS platforms and best practices; ideally experience with Salesforce CMS and/or Gather Content
* Excellent communication skills and attention to detail.
* Ability to balance creativity with organizational standards.
* Excellent Written and Verbal Communication Skills: Effective communication is crucial for working with Campus Partners in creating and managing web content.
* Proficiency in HTML, CSS, and integrating them into a Content Management Systems (CMS).
* Basic Knowledge of SEO Best Practices.
* Attention to Detail and Strong Editing Skills.
* Ability to Work Under Tight Deadlines, and coordinate the work of other content developers around the organization.
* Strong Analytical and Problem-Solving Skills: Analyzing web traffic data, identifying trends, and making data-driven decisions.
* Understanding of Web Design Principles and UX Best Practices.


Licenses/Certifications


* Salesforce Certifications are a Plus

Not Specified
Manager, Enterprise Data Services, Data Analytics Enablement Manager
Salary not disclosed
College Park 6 days ago
Job Description Summary: This position is available within the University of Maryland’s Division of Information Technology (DIT).

The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across campus.

This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and modernization.

This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.

Reporting to the Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver reliable data products, consistent metrics, and actionable insights.

The manager will lead a team of data professionals and advance practical, operational governance practices that support trusted analytics and long-term institutional impact.

Key Responsibilities: Lead the strategy, development, and continuous improvement of the university’s enterprise business intelligence environment, including Microsoft Power BI and Microsoft Fabric.

Establish standards, best practices, and architectural patterns for semantic models, dashboards, and analytics delivery.

Guide migration and modernization efforts to ensure scalable, secure, and high-performing analytics solutions.

Develop and manage an analytics intake, prioritization, and delivery framework aligned with institutional priorities.

Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of enterprise data assets.

Partner with technical teams to embed validation, monitoring, and observability into data pipelines and lakehouse environments.

Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and stewardship roles.

Support adoption of metadata management, data catalog, and lineage capabilities.

Ensure analytics solutions align with university standards for security, privacy, and responsible data use.

Manage, mentor, and develop a team of analytics and data professionals, fostering a culture of quality, collaboration, and service.

Communicate analytics priorities, progress, and impact to leadership and campus partners.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.
** **May be required to work evenings, nights, weekends, or different shifts for extended periods.
** KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of data privacy and security principles and practices necessary to protect systems and data from threats.

Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data governance practices, metadata management, data stewardship, and/or regulatory compliance.

Skill in SQL or programming/scripting languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.

Skill in adapting communication style to different audiences, including technical, business, and executive stakeholders.

Skill in the use of office productivity software such as Office 365 or Google Workspaces.

Ability to lead presentations and training for large groups.

Ability to manage communications and relationships with technical and business stakeholders.

Ability to collaborate effectively with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.

Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a repeatable and reliable solution.

Ability to ensure documentation standards and procedures are implemented for all team responsibilities.

Ability to define deadlines and manage the quality of the work delivered.

Ability to comprehend and handle interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.

Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill development.

Physical Demands: Sedentary work.

Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.

Repetitive motion.

Substantial movements (motions) of the wrists, hands, and/or fingers.

The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.

Minimum Qualifications Education: Bachelor’s degree from an accredited college or university.

Experience: Three (3) years of professional experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs.

One (1) year leading or supervising professional staff.

Other: Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education.

Preferences: Demonstrated experience leading business intelligence or enterprise analytics initiatives.

Experience managing or mentoring data professionals in a collaborative team environment.

Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or similar cloud-based analytics ecosystems.

Proficiency with SQL and/or Python in support of analytics, data modeling, or data quality initiatives.

Experience implementing or advancing data quality practices, including validation, monitoring, or metric standardization.

Experience supporting practical data governance activities such as establishing shared definitions, coordinating data stewardship, or implementing metadata/catalog tools.

Demonstrated ability to collaborate across diverse stakeholders and translate business needs into scalable analytics solutions.

Strong communication skills with the ability to engage both technical and non-technical audiences.

Experience using Jira or similar tools for work intake, project tracking, and prioritization.

Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week.

Telework is not a guaranteed work arrangement.

Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.

F1 STEM OPT support is not available for this position.

Required Application Materials: Resume, Cover Letter, List of three References Best Consideration Date: March 26, 2026 Open Until Filled: Yes Salary Range: $149,120.00
- $178,944.00 Please apply at: Job Risks: Not Applicable to This Position Financial Disclosure Required: No For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .

Department: DIT-EE-Enterprise Data Services Worker Sub-Type: Staff Regular Benefits Summary: For more information on Regular Exempt benefits, select this link .

Background Checks: Offers of employment are contingent on completion of a background check.

Information reported by the background check will not automatically disqualify anyone from employment.

Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information.

The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility: The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.

Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement : The University of Maryland, College Park is an Equal Opportunity Employer.

All qualified applicants will receive equal consideration for employment.

Please read the University’s Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination Notice See above description for requirements
Not Specified
Data Quality Analyst / Data Steward
✦ New
Salary not disclosed
Montgomery 1 day ago
Job Requisition: Data Quality Analyst / Data Steward Contract Length: Long Term – Potential renewal each fiscal year Work Location: 100% onsite – Montgomery, AL Candidate Profile Experienced data professional capable of building, advancing, and scaling data quality and governance foundations from scratch.

Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.

Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.

Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.

Drive long term improvement of data standards, definitions, lineage, and quality processes.

Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.

Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.

Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.

Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.

Conduct root cause analysis and implement preventive and long term remediation solutions.

Optimize SQL queries, tune stored procedures, and improve data processing performance.

Document audit findings, validation processes, data flows, standards, and quality reports.

Build dashboards and reports for data quality KPIs using Power BI/Tableau.

Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.

Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.

Ensure proper and consistent data usage across departments and systems.

Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.

Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.

Provide training on data entry, data handling, stewardship practices, and data literacy.

Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.

GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.

Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.

Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.

Drive adoption of data quality and governance practices across business and technical teams.

Support long term evolution of enterprise data strategy and governance maturity.

Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.

SSIS development, deployment, and troubleshooting.

Data profiling, validation rule design, quality scoring, and measurement techniques.

ETL/ELT pipeline design, debugging, and optimization.

Data modeling (conceptual, logical, physical).

Metadata management and lineage documentation.

Reporting and dashboarding with Power BI, Tableau, or similar tools.

Strong documentation and communication skills.

Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.

Experience in low maturity/green field data environments.

Familiarity with AI/ML data readiness and feature store aligned data structuring.

Cloud data engineering exposure (Azure, Databricks, GCP).

Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.

Master’s degree preferred.

Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
Not Specified
Program Manager III
🏢 Spectraforce Technologies
Salary not disclosed
Mettawa, IL 2 days ago
Position Title: Program Manager III

Duration: 9+ months (ASAP through end of 2026, possible extension into 2027)

Location: Mettawa, Illinois (Hybrid - 3 days/week onsite Tue, Wed, Thu and 2 days remote Mon, Fri)


**Top 4 Skills Required**

1. Process Documentation and Organizational Skills: Ability to capture, clarify, and document project requirements, workflows, and procedures for transparency and repeatability.

2. Cross-Channel End-to-End Testing: Experience documenting, facilitating, and completing testing (including UAT) across CRM, web, and app channels with robust acceptance criteria and test cases.

3. Project Planning and Timeline Management: Skilled in building, maintaining, and integrating project timelines to ensure on-time, quality delivery.

4. Stakeholder Collaboration and Communication: Effective at aligning cross-functional teams, facilitating meetings, and providing exceptional client service.

Job Description:

The Program Manager III will oversee the management of campaign and content metadata, CRM (Email, SMS, Direct Mail, App), and Web reporting requirements, as well as Power BI reporting on CRM metrics. This role will be responsible for capturing project requirements, building project timelines, writing Acceptance Criteria and Test Cases, documenting key processes, and ensuring excellent client service throughout the lifecycle of each initiative. The position requires strong organizational, analytical, and communication skills to collaborate effectively with internal stakeholders and deliver quality project outcomes.

Responsibilities:

* Manage and organize campaign and content metadata to ensure accurate tracking and reporting.

* Define and document CRM and web reporting requirements, liaising with technical and business teams.

* Use Power BI dashboards and reports to provide insights on CRM metrics and project outcomes.

* Capture, clarify, and communicate project requirements to relevant stakeholders.

* Build, maintain, and update project timelines, ensuring deliverables are met on schedule.

* Coordinate with internal and external stakeholders to ensure alignment on project objectives and timelines.

* Provide exceptional client service, acting as a point of contact for inquiries and ensuring client satisfaction.

* Monitor progress, identify risks, and support resolution of challenges as they arise.

* Create and implement a standardized end-to-end testing process in collaboration with cross-functional teams, ensuring thorough test coverage, consistency, and alignment with project goals.

* Document key program and project processes, including requirements gathering, testing workflows, and client engagement procedures, to ensure transparency and repeatability.

* Facilitate and participate in end-to-end testing activities across all impacted channels (Email, SMS, Direct Mail, App, Web), ensuring robust test execution and stakeholder involvement.

* Define, write, and review acceptance criteria and detailed test cases in partnership with technical and business stakeholders.

* Lead and support User Acceptance Testing (UAT) across channels, tracking issues, capturing feedback, and validating solutions meet stakeholder expectations.

Qualifications:

* Bachelor's degree in business, marketing, information systems, or related field.

* 10+ years of project or program management experience, BSA, preferably within digital marketing, CRM, or analytics environments.

* Experience with CRM (email, SMS, direct mail) campaign management, metadata, and Salesforce Marketing Cloud systems.

* Experience with end-to-end and UAT testing across multiple digital channels

* Proficiency in Power BI and ability to create actionable reports and dashboards.

* Strong process documentation skills.

* Strong organizational and project planning skills.

* Excellent written and verbal communication skills.

* Experience in client-facing roles and customer service.

* Detail-oriented, proactive, and collaborative work style.

This role is ideal for a results-focused program manager with expertise in process documentation, cross-channel testing, data-driven reporting, campaign management, and a passion for delivering outstanding client service.
Not Specified
Lead Data Architect
Salary not disclosed
Irving, TX 1 week ago

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.


This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.


Responsibilities

Data Architecture Leadership

  • Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
  • Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
  • Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
  • Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

  • RAG pipelines
  • Vector search
  • Metadata-driven orchestration
  • Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

  • Finance, Pricing, and Supply Chain Data Products
  • FIA
  • ContractIQ
  • Specialty Leakage Agents
  • Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
  • Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
  • Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
  • Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

  • Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
  • Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

  • Data models
  • Entity relationship diagrams (ERDs)
  • Data flow diagrams
  • System interface schemas
  • Comprehensive data dictionaries and metadata documentation
  • Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
  • Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.


Minimum Qualifications

  • 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.


Required Skills

  • 7+ years designing enterprise data architecture across large, complex organizations.
  • Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
  • Large-scale integration across heterogeneous systems
  • Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
  • Designing intuitive architectural patterns to simplify complex data landscapes.
  • Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

  • Ownership-driven leader with a track record of guiding engineering teams through delivery.
  • Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

  • Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

  • Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.
Not Specified
Solution Architect - Microsoft Purview (Data Catalog & Governance)
🏢 Spectraforce Technologies
Salary not disclosed
Newark, NJ 3 days ago
Title-: Solution Architect - Microsoft Purview (Data Catalog & Governance)

Duration-: 10+ Months

Location: Remote

Overview

An experienced Solution Architect to lead the enterprise rollout of Microsoft Purview across a complex global, multi cloud environment. The consultant will define architecture, implement domain?based governance, and drive adoption of Purview capabilities including cataloging, lineage, classification, access governance, and compliance controls.

Key Responsibilities


  • Architecture & Implementation
  • Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  • Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  • Establish Purview reference architecture, integration patterns, and guardrails.
  • Domain Based Governance
  • Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  • Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  • Platform Configuration
  • Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  • Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  • Security & Compliance
  • Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  • Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  • Engineering & Integration
  • Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  • Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  • Adoption & Stakeholder Management
  • Deliver training, onboarding playbooks, and steward enablement.
  • Lead workshops for new data domains and products.
  • Provide executive level reporting on progress, risks, and KPIs.


Required Qualifications


  • 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  • Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  • Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  • Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  • Financial services or regulated industry exposure.
  • Excellent communication, stakeholder leadership, and cross domain facilitation skills.


Not Specified
Sr. Data Engineer (Hybrid)
Salary not disclosed
Chicago, IL, Hybrid 2 days ago

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

  • Build and maintain scalable data pipelines and
    ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
    cases.
  • Implement best practice patterns for ingestion,
    transformation, modeling, and orchestration within a modern lakehouse
    environment (e.g., Databricks, Delta Lake, Azure Data Lake).
  • Develop highperformance
    data models and curated datasets with strong attention to quality, usability,
    and interoperability; create reusable engineering components and automation.
  • Collaborate with the Architecture Team, the Data
    Platform Lead, and federated IT teams to optimize storage, compute, and
    architectural patterns for performance and costefficiency.
  • Build model-ready data sets and feature
    pipelines to support AI/ ML use cases; serve as a technical coordination point
    supporting business units' AI-related infrastructure needs.
  • Collaborate with data scientists and AI Working
    Group to operationalize models responsibly and maintain ongoing monitoring
    signals.

Governance, Quality & Compliance

  • Embed data governance, metadata standards,
    lineage tracking, and quality controls directly into engineering workflows;
    ensure technical implementation and alignment within engineering workflows.
  • Work with the Data Governance Lead and business
    stakeholders to operationalize stewardship, classification, validation,
    retention, and access standards.
  • Implement privacybydesign and securitybydesign
    principles, ensuring compliance with internal policies and regulatory
    obligations.
  • Maintain documentation for pipelines, datasets,
    and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

  • Monitor and troubleshoot pipeline failures,
    performance bottlenecks, data anomalies, and platformlevel issues.
  • Implement observability tooling, alerts,
    logging, and dashboards to ensure endtoend reliability.
  • Support cost governance by optimizing compute
    resources, refining job schedules, and advising on efficient architecture.
  • Collaborate with the Data Platform Lead on
    scaling, configuration management, CI/CD pipelines, and environment management.
  • Collaborate with business units to understand
    data needs, translate them into engineering requirements, and deliver
    fit-for-purpose data solutions; share and apply best practices and emerging
    technologies within assigned initiatives.
  • Work with IT Security and Legal/ Compliance to
    ensure platform and datasets meet risk and regulatory standards.

Staff Management

  • Lead, mentor, and provide management oversight
    for staff.
  • Responsible for setting objectives, evaluating
    employee performance, and fostering a collaborative team environment.
  • Responsible for developing staff knowledge and
    skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

  1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
  2. 5+ years of experience in data engineering within cloud environments
  3. Experience in people management preferred.
  4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
  5. Proficiency in Python, SQL, and data
    transformation frameworks.
  6. Experience designing and operationalizing
    ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
    CI/CD processes.
  7. Solid understanding of data modeling,
    structured/unstructured data patterns, and schema design.
  8. Experience implementing governance and quality
    controls: metadata, lineage, validation, stewardship workflows.
  9. Working knowledge of cloud architecture, IAM,
    networking, and security best practices.
  10. Demonstrated ability to collaborate across
    technical and business teams.
  11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
  12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

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Remote working/work at home options are available for this role.
Not Specified
Sr. Manager Data Governance
🏢 Spectraforce Technologies
Salary not disclosed
Richardson, TX 2 days ago

Title:Sr. Manager Data Governance

Location: Richardson, TX Hybrid

Duration: 6 months possibility of FTE conversion yes

JOB SUMMARY



This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes




  • Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
  • Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
  • Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
  • Serve as the data governance champion of strategic data products and supporting metadata and reference data.
  • Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.


ESSENTIAL DUTIES AND RESPONSIBILITIES




  • Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
  • Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
  • Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
  • Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
  • Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
  • Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
  • Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
  • Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  • Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
  • Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
  • Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
  • Develop and implement metrics needed to monitor/ report on data governance and data management progress
  • Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
  • Performs other duties as assigned.


SUPERVISORY RESPONSIBILITIES



Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.



QUALIFICATIONS



To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.



Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.



EDUCATION and EXPERIENCE



Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.




  • 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
  • 5 or more years of related experience in related industry; commercial real estate management preferred.
  • 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
  • Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
  • Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.




  • Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.


CERTIFICATES and/or LICENSES



None



COMMUNICATION SKILLS




  • Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
  • Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
  • Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
  • Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
  • Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections


FINANCIAL KNOWLEDGE




  • Requires basic knowledge of financial terms and principles.
  • Participates in complex financial/business analysis and report reviews prepared peers or leaders.
  • Manages to and oversees department budget.


REASONING ABILITY




  • Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.

    • Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
    • Demonstrated ability to balance long-term strategy with quick wins.
    • Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
    • Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
    • Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
    • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
    • Ability to tell a story to explain or sell a concept.




OTHER SKILLS and/or ABILITIES




  • Utilizes an entrepreneurial approach and develops innovative solutions.
  • Ability to write business cases, process maps, presentation materials and articles using distinctive style.
  • Ability to make effective and persuasive presentations on complex topics across various levels of leadership
  • Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
  • Ability to use strong conceptual and analytical skills to generate insights and recommendations.
  • Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
  • Experience managing small to mid-size teams and delivering results.
  • Thorough knowledge of cutting-edge data management tools, industry advances, etc.
  • Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
  • Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
  • Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
  • Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
  • Skills in MS Visio, Word and PowerPoint is a plus.
  • Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
  • Software development lifecycle knowledge, with background in agile philosophies and
Not Specified
Data Integrity Specialist
✦ New
🏢 Spectraforce Technologies
Salary not disclosed
North Chicago, IL 1 day ago
Position Title: Data Integrity Specialist

Work Location: North Chicago, IL 60085

Assignment Duration: 12 Months

Work Arrangement: Fully Onsite

Position Summary:

The role is for a Data Integrity Specialist I responsible for reviewing physical records and accurately entering related metadata into the internal database system.

Background & Context:

Archiving records from across the organization including business records and GxP regulated records. These records are often called for by auditors and legal counsel, requiring meticulous indexing and accuracy.

Key Responsibilities:


  • Participate in reviewing physical records from boxes, extracting metadata (e.g., document dates, names, titles, product info), and entering into database for indexing (at box or file level).
  • Accurately track and report daily work progress.
  • Demonstrate accuracy and proficiency in daily data entry output.
  • Handle record boxes (using carts), with small physical component of lifting/moving 20-25 lb boxes.
  • Strict adherence to safety guidelines in office/warehouse-like environment.
  • Collaborate in team environment to achieve timelines.
  • Responsible for compliance with applicable policies and procedures and safety guidelines.
  • Perform other duties as assigned.


Qualifications & Experience:


  • High School diploma or equivalent (required).
  • College coursework, associate or bachelor's degree preferred.
  • Demonstrated attention to detail, specifically with typing and organizational skills.
  • Advanced knowledge and experience with MS Excel, Word and PowerPoint.
  • Ability to lift containers of 25 pounds or more repetitively (carts available).
  • Clerical experience (sorting, collating and filing).
  • Demonstrated leadership skills such as: Time management, good communicator, quality focus, proactive, teamwork, etc.
  • Strong organizational skills (preferred).
  • (Note: Higher education may compensate for years of experience.)
  • Working Conditions & Physical Demands (If Applicable):
  • Lifting Requirements: 20-25 lbs average (boxes on pallets, carts available for transport to workstation). Some flexibility in movement; not continuous sitting. Busy environment with activity around moving record boxes; requires sustained focus.
Not Specified
Software Engineer-Senior Software Engineer – Platform Software Engineer Hopkinton, MA
✦ New
🏢 Dell
Salary not disclosed
Software Engineer/Senior Software Engineer  – Platform Software Engineer (Hopkinton, MA)

Join us to do the best work of your career and make a profound social impact as a  Software Engineer/Senior Software Engineer  on our Software Engineering Team in Hopkinton, MA.

What you’ll achieve
We build enterprise-grade, massively scalable cluster-based storage systems running across Linux and BSD. Our portfolio includes a multi-petabyte S3 object store and a scale-out NAS platform. We’re a modern, scrum-based engineering org that ships with high velocity and quality, using the best tools, hardware, and practices.
As a Software Engineer, you will contribute to our platform stack, the foundation upon which these products are built.  Help us decide where your strengths best fit as you onboard. If you can explain how and where you’ll add outsized value in a distributed storage architecture, we want to talk.

You will:
Own problems end-to-end  across design, implementation, testing, deployment, and supportability—within a cluster storage system.
Build and harden  distributed services: durability, consistency, replication, data paths, metadata, control planes, scheduling, placement, and lifecycle management.
Optimize performance  across compute, memory, IO, networking (including RDMA), and storage media (NVMe/SSD/HDD); drive latency and throughput improvements with data-driven profiling.
Advance reliability  through observability, telemetry, failure injection, chaos testing, and automated remediation; raise the bar on serviceability and supportability.
Contribute to security & compliance  with secure-by-default engineering.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Where You Might Contribute
You are expected to work across multiple skills in the following areas.
Primarily C, with Python and C++ components
Sophisticated networking including RDMA (RoCE)
Scale-Out NAS Platform (BSD & Linux)
BSD platform work, networking stack, file systems, NFS/SMB, POSIX semantics
Device firmware/drivers, kernel development, NVMe/NVMe-oF
System Engineering
Programming with Python, Linux Shell and an understanding of data structures and algorithms
Read/Write (IOPs, Latency, Bandwidth), I/O datapath, NFS, SMB, S3, ACLs, networking layers (switching, routing, vlans)
Performance & Observability/Security, Serviceability & Supportability

Essential Requirements
Strength in  systems programming  and  distributed systems  fundamentals (concurrency, networking, storage, consistency, fault tolerance).
Proficiency in at least one of  C/C++ ,  Java , or  Python ; willingness to learn across the stack.
Experience with Linux or BSD development and debugging (e.g., perf, strace/dtrace/eBPF, tcpdump).
Ability to write clean, testable code; familiarity with unit/integration/system testing and CI/CD.
Clear communication, collaboration, and a bias for action.

Desirable Requirements
Kernel subsystems, device drivers, firmware; RDMA/verbs; SPDK/DPDK/JVM tuning and GC; async/reactive patterns; lock-free/concurrent data structures
Filesystem internals; NFS/SMB semantics; S3 object store internals; erasure coding/Observability stacks, performance profiling at scale, chaos/failure-injection
Security, crypto, FIPS/CC, secure boot, TPM, HSM integrations/Private or Public cloud (Microsoft Azure, Google GCP, and Amazon AWS)

Compensation
Dell is committed to fair and equitable compensation practices.
The salary range for the Software Engineer position is 130K to 155K
The salary range for the Senior Software Engineer position is 158K to 185K
(Note compensation may vary depending on location)

Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at

Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

Job ID: R285860
Not Specified
Business Analyst
Salary not disclosed
Milwaukee, WI 5 days ago

Job Summary



We are seeking a highly analytical and collaborative Business Analyst to support enterprise-wide initiatives focused on data governance, data development and improvement, business intelligence (BI), and ERP implementation. This role will be instrumental in bridging the gap between business needs and technical solutions, ensuring data integrity, optimizing data flows, and enabling strategic decision-making through robust analytics and reporting. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.



Essential Functions:



Data Governance & Quality





  • Collaborate with data stewards and business units to define and enforce data governance policies and standards.

  • Monitor data quality metrics and lead initiatives to improve data accuracy, completeness, and consistency.

  • Support metadata management and data lineage documentation.



Data Development & Integration





  • Work with business stakeholders and developers to define requirements for new datasets and enhancements to existing ones.

  • Assist in mapping source systems to target data warehouse structures.

  • Validate data transformations and ensure alignment with business rules.



Business Intelligence & Reporting





  • Partner with BI developers to design and deliver dashboards, reports, and analytics solutions.

  • Translate business questions into data queries and visualizations.

  • Provide insights and recommendations based on data analysis.



ERP Implementation Support





  • Participate in ERP project planning, requirements gathering, testing, and deployment phases.

  • Document business processes and identify opportunities for automation and improvement.

  • Ensure ERP data aligns with enterprise data standards and integrates effectively with other systems.



Key Competencies





  • Analytical Thinking

  • Problem Solving

  • Attention to Detail

  • Business Acumen

  • Collaboration & Communication

  • Adaptability



Qualifications (skills, knowledge, experience)





  • Bachelor's degree in Business, Information Systems, Data Analytics, or related field.

  • 3+ years of experience in business analysis, data management, or BI.

  • Strong understanding of data governance principles and data warehousing concepts.

  • Experience with ERP systems (e.g., SAP, Oracle).

  • Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).

  • Excellent communication and stakeholder engagement skills.



Preferred:





  • Experience with cloud data platforms (e.g., Fabric, Power BI).

  • Knowledge of master data management (MDM) and data cataloging tools.



Rev. 1.9.2026



COMP - 0003177

By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.

HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.



Not Specified
Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
$250 +
San Francisco, CA 2 days ago

Location: Anywhere in Country


At EY, we’re all in to shape your future with confidence.


We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.


AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.


The opportunity

You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.


As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.


Your key responsibilities

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:


As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.


Skills and attributes for success

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:



  • Technical Skills Applications Integration
  • Cloud Computing and Cloud Computing Architecture
  • Data Architecture Design and Modelling
  • Data Integration and Data Quality
  • AI/Agentic AI driven data operations
  • Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
  • Strong relationship management and business development skills.
  • Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
  • Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
  • Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
  • Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
  • Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
  • Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
  • Establish data governance policies and practices, including data security, quality, and lifecycle management.
  • Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.

To qualify for the role, you must have

  • A Bachelor’s degree required in STEM
  • 12+ years professional consulting experience in industry or in technology consulting.
  • 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
  • 5+ years’ experience with native cloud products and services such as Azure or GCP.
  • 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
  • In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
  • Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
  • Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
  • Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
  • Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
  • Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
  • Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
  • Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
  • Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
  • Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
  • Experience leading Infrastructure and Security engineers and architects in overall platform build.
  • Excellent leadership, communication, and project management skills.
  • Data Security and Database Management
  • Enterprise Data Management and Metadata Management
  • Ontology Design and Systems Design

Ideally, you’ll also have

  • Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
  • Experience working at big 4 or a major utility.
  • Experience with cloud data platforms like Databricks.
  • Experience in leading and influencing teams, with a focus on mentorship and professional development.
  • A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
  • The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
  • Building and Managing Relationships
  • Client Trust and Value and Commercial Astuteness
  • Communicating With Impact and Digital Fluency

What we look for

We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.


FY26NATAID


What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.



  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.


For those living in California, please click here for additional information.


EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.


EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.


Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.


EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.


EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.


EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .


#J-18808-Ljbffr
Not Specified
Ecommerce Manager
Salary not disclosed

E-COMMERCE MANAGER

Full-Time | Austin, TX | On-Site


About El Famoso


El Famoso builds the commerce infrastructure behind culture. Based in Austin, we're the behind-the-scenes partner for artists and brands, handling everything from e-commerce and fulfillment to tour operations and customer service. We're growing fast and building the team to match.


The Role


We're hiring an E-Commerce Manager to own the day-to-day operations and growth of our clients' online stores. This role sits at the intersection of store operations, marketing, and platform optimization. You'll be the person making sure stores are running smoothly, products are set up correctly, promotions are executing on time, and that we're always finding smarter ways to drive sales.


This isn't a project management role that happens to touch e-commerce. We need someone who really knows Shopify and online retail, someone who brings real opinions about how stores should be built, optimized, and grown, and who can execute on that vision across a diverse portfolio of artist and brand storefronts. If you're the kind of person who notices a broken shipping config before anyone reports it, has thoughts on why a product page isn't converting, and knows when to push a campaign vs. tweak the SEO, you'll fit right in.


What You'll Do


Store Operations & Optimization

  • Manage and maintain client Shopify storefronts end-to-end: product setup, collections, pricing, metadata, shipping configurations, theme customization, and troubleshooting.
  • Conduct regular store audits to catch errors, stale content, and compliance issues before they become problems.
  • Coordinate product launches, pre-orders, and activations, keeping internal calendars and boards up to date.
  • Oversee inventory accuracy across Shopify and ShipHero, working with fulfillment and production to keep stock levels aligned.
  • Support multichannel expansion across platforms like Amazon, TikTok Shop, Meta/Facebook, Google Shopping, Faire, and others as client needs grow.
  • Support high-volume drops, pre-orders, and tour-driven product launches where speed and accuracy matter.


Marketing & Revenue Growth

  • Help plan and execute marketing initiatives that drive store revenue, including email campaigns, paid advertising, SEO, social commerce, and promotions.
  • Build and optimize email marketing flows, segmentation, and campaigns using tools like Klaviyo.
  • Support paid media efforts across platforms (Meta, Google, TikTok) to drive traffic and conversions.
  • Apply SEO best practices and AI-powered tools to improve product listings, descriptions, and store discoverability.
  • Track and report on key metrics (conversion rate, AOV, ROAS, email ROI, inventory turnover) and translate data into actionable next steps.


Systems & Process Improvement

  • Look for opportunities to automate and streamline recurring workflows across the e-commerce stack.
  • Identify opportunities to automate recurring workflows across the e-commerce stack (product setup, tagging, reporting, campaign prep, etc.).


Cross-Department Collaboration

  • Partner with Fulfillment, Production, and Customer Service to ensure seamless order flow and product readiness.
  • Support client communications alongside Account Managers, relaying updates, flagging issues, and proposing solutions.
  • Contribute to department strategy around services, onboarding processes, and client retention.


What You Bring


Required

  • 3+ years working hands-on with Shopify or a comparable e-commerce platform. You've built and managed storefronts, not just uploaded products. Theme configuration, shipping setup, and platform troubleshooting should feel natural.
  • Marketing experience across at least two of: email marketing, paid advertising, SEO, or social commerce. You understand how to drive traffic, convert it, and report on what's working.
  • Comfort across SaaS platforms ( , Slack, Google Workspace, ShipHero) and a genuine interest in using AI and automation to work smarter.
  • Data-driven approach. You use metrics to guide decisions, whether it's forecasting inventory, analyzing ad spend, or identifying underperforming products.
  • Ability to manage multiple storefronts and priorities without dropping balls. Your boards are clean, your documentation is current, and your follow-through is reliable.


Preferred

  • Experience managing multiple brand storefronts with different tones, audiences, and product strategies.
  • Familiarity with multichannel selling (Amazon, TikTok Shop, Meta, Google Shopping, Faire) beyond Shopify.
  • Hands-on experience with Klaviyo, Shopify Flow, , or similar marketing and automation platforms.
  • Background in music, entertainment, or lifestyle merchandise.
  • Experience scaling e-commerce operations during high-volume periods (drops, launches, holiday).


Why El Famoso

  • Work with iconic brands in music, entertainment, and lifestyle, the kind of products people line up for.
  • Manage a diverse portfolio of storefronts, each with its own audience, aesthetic, and strategy. No two days look the same.
  • A small, collaborative team where your ideas ship fast and your impact is visible from day one.
Not Specified
Digital Marketing Specialist
Salary not disclosed
Columbus, OH 1 week ago

Digital Marketing Content Specialist

Columbus, OH - 100% Remote

6-month contract


Overview:

This role is responsible for authoring and publishing web content within the company’s CMS, ensuring alignment with brand, accessibility, and SEO standards. The Content Author executes site updates, supports new digital initiatives, manages assets, and collaborates cross-functionally to deliver high-quality content on time. If this sounds like something you would be interested in please continue reading and apply!


Required Qualifications:

  • Bachelor’s Degree— and 1+ year of experience in Marketing, Project Management, Business, Communication, Web Development, or related field
  • Experience in Adobe Experience Manager or CMS a plus
  • Attention to detail, accuracy, and quality – experience with QA or UAT a plus
  • Familiarity with Accessibility best practices a plus
  • Knowledge of web design and basic HTML/CSS a plus
  • Proven ability to manage multiple projects at one time and meet deadlines
  • Highly organized, and attentive
  • Strong relationship building and communication skills (written and verbal)


Key Responsibilities:

  • Work in an Operational role within a broader marketing department, executing on designs and strategies laid out by cross-functional partners
  • Responsible for selecting templates, components and modules, adding/editing content (copy, images, video, tagging, SEO metadata) to compose web pages based on brand guidelines and stakeholder input
  • Work within the company’s Design System to make sure content is consistent with brand aesthetic standards as well as accessibility standards
  • Customize and edit content for domestic and International sites
  • Responsible for timely and thorough QA of own and other content author’s work to ensure all content reaching the live site is of the highest quality
  • Is responsive and accountable to any errors or callouts from strategy, design, or other cross-functional partners
  • Work with content management tools to execute the content schedule in order to build seasonal and daily updates on time
  • Responsible for timely execution of new digital projects and capabilities
  • Support development of new website functionality
  • Additional responsibilities may include managing assets and images within the Adobe Digital Asset Manager, creating experience fragments, developing workflows, providing detailed authoring documentation as well as training for peers and authors
  • Direct and build relationships with internal and external production and executions partners
  • Initiate collaboration across teams to align on expectations, meet deadlines and increase productivity


ABOUT EIGHT ELEVEN DBA CALCULATED HIRE:

At Eight Eleven, our business is people. Relationships are at the center of what we do. A successful partnership is only as strong as the relationship built. We’re your trusted partner for IT hiring, recruiting and staffing needs.

For over 16 years, Eight Eleven has established and maintained relationships that are designed to meet your IT staffing needs. Whether it’s contract, contract-to-hire, or permanent placement work, we customize our search based upon your company's unique initiatives, culture and technologies. With our national team of recruiters placed at 21 major hubs around the nation, Eight Eleven finds the people best-suited for your business. When you work with us, we work with you. That’s the Eight Eleven promise.

Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Not Specified
Product Manager Level 2
Salary not disclosed
Cincinnati, OH 3 days ago

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met. The Product Manager’s job also includes ensuring that the product supports the company’s overall strategy and goals.


This role supports an eCommerce fulfillment environment that manages pickup, third-party delivery (Instacart and DoorDash), and operations. The team is building a platform focused on order submission, selection, and routing, with an emphasis on operational reporting, process optimization, and demand forecasting.


About the Role

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met.


Responsibilities

  • Manage all technical aspects of product through product lifecycle
  • Work directly and indirectly with business stakeholders, vendors and third parties to ensure execution of deliverables
  • Create, maintain and communicate product catalog and technology roadmaps, including near-term delivery, to engage stakeholders across the organization
  • Identify, measure and improve key product catalog metrics to enhance the customer experience, and create a compelling, relevant product vision using web metrics, customer insights, feedback, research and internal operational metrics
  • Elicit, define and analyze medium to complex requirements in various formats ensuring they are testable, measurable and traceable
  • Set criteria for minimum viable product to increase the speed/frequency with which enhancements and new capabilities are delivered
  • Lead the appropriate teams to refine, prioritize and manage requirements using various tools (e.g., templates, team backlogs, requirements management or agile task management applications)
  • Lead requirement walk-throughs with key stakeholders using various methods (e.g., team demos, workshops, sprint planning and backlog refinement sessions)
  • Identify and estimate anticipated work efforts based on priority using requirement work plans, program increment (PI) planning, and sprint planning
  • Define and resolve dependencies, issues and risks and identify impacted areas through team collaboration
  • Break down a medium to complex vision into smaller projects, initiatives or features


Qualifications

Skills: Must-Have

  • Product strategy & prioritization
  • Data platform fundamentals
  • ML literacy
  • Stakeholder communication
  • Designing for expert users without alienating new ones
  • Clear documentation and onboarding flows
  • Understanding user workflows—not just APIs

Strong Differentiators

  • MLOps understanding
  • Experimentation and metrics fluency
  • Responsible AI leadership
  • Platform UX thinking
  • Stakeholder Management

Required Skills

  • Align business leaders, engineers, data scientists, legal/compliance, and ops
  • Translate technical constraints into business-relevant language
  • Manage expectations around ML uncertainty and iteration

Preferred Skills

  • Data Concepts You Should Be Fluent In
  • Data types: structured, semi-structured, unstructured
  • Data pipelines (batch vs. streaming)
  • Data quality dimensions: accuracy, completeness, timeliness
  • Data lineage and observability
  • Metadata, schemas, and versioning
  • Platform Thinking
  • APIs, SDKs, and self-service capabilities
  • Multi-tenant vs. single-tenant design
  • Performance, scalability, and cost tradeoffs
  • Internal vs. external (customer-facing) platforms
  • Machine Learning Fundamentals Every PM Should Know
  • Supervised vs. unsupervised learning
  • Training vs. inference
  • Features, labels, and training data
  • Model evaluation metrics (precision, recall, AUC, RMSE, etc.)
  • Overfitting vs. generalization
  • ML Product Realities
  • ML outputs are probabilistic, not deterministic
  • Model performance degrades over time (data drift, concept drift)
  • Improving models often requires better data, not better algorithms
  • ML development is experimental and iterative
  • Areas that must be understood
  • Model training pipelines
  • Model deployment patterns (batch, real-time, edge)
  • Model monitoring and retraining
  • Versioning of models and data
  • Rollbacks and experimentation (A/B tests, canary releases)
Not Specified
Project Processing Archivist - Temporary Appointment - Bancroft Library
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 3 days ago
Position overview

Position title:
Associate Librarian, Career Status or Potential Career Status

Salary range:
The UC academic salary scales set the minimum and maximum pay determined by rank and salary point at appointment. See the following table(s) for the current salary scale(s) for this position: . A reasonable estimate for this position is $80,349-$91,797 (Associate Librarian, Increment 1-6).

Percent time:
100%

Anticipated start:
As early as Spring 2026. Start date is flexible.

Position duration:
Two years with the possibility of renewal for a third year based on performance and availability of funding

Application Window


Open date: February 19, 2026




Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.




Final date: Friday, Jul 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The University of California, Berkeley, is seeking a Project Processing Archivist for a two-year project, with the possibility of renewal for a third year based on performance and availability of funding, to support the processing of literary collections. Among the collections to be processed are those from a Mellon Foundation-funded project to process and promote archival collections relating to women and poetry at The Bancroft Library. These include the papers of poets Mary Fabili, Aya Tarlow, and Red Jordan Arobateau as well as the records of presses and literary magazines, such as Poetry Flash and the City Lights Books records. The project archivist will also process the analog and born-digital papers of author Amy Tan. The successful candidate employs archival standards, tools, and best practices to provide access to collections containing materials in a range of formats, including audiovisual and digital. The successful candidate also applies effective project management strategies and communicates clearly with project stakeholders.



The Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at the nation's premier public university. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 30,574 undergraduate students, 11,336 graduate students, and 1,525 faculty. The Library comprises 20 campus libraries, including the Doe/Moffitt Libraries, The Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive collections in all formats and robust services to connect users with the collections and build their research skills. Discover more about our collections and services at the UC Berkeley Library website.



The Bancroft Library of the University of California, Berkeley, is one of the largest and most heavily used libraries of rare materials in the West. Its holdings include more than 800,000 volumes, 210 million manuscript items, 9 million photographs and other pictorial materials, 86,000 microforms, 9.4 million digital files, and 25,000 maps, as well as numerous other categories of unique material. The two largest collections are the Bancroft Collection of Western and Latin Americana and the Rare Books Collection. The archival and rare book materials of the Magnes Collection of Jewish Art and Life are also part of the Bancroft holdings. The Bancroft is home to three research groups: the Oral History Center (formerly the Regional Oral History Office), the Mark Twain Papers, and the Center for the Tebtunis Papyri. The Bancroft Library is an active center of teaching and research. Supporting the programs of about 30 campus departments annually, it mounts a regular series of public exhibitions, roundtable lectures, and open houses. For additional information, please visit the Bancroft Library website.



Responsibilities

The Project Processing Archivist will work under the direction of the Head of Archival Processing and in consultation with other technical services staff, curators, public services staff and, potentially, donors and researchers. Duties will include processing approximately 450 linear feet of literary archival collections and related born-digital materials. The Project Processing Archivist will also participate in outreach activities relating to the project as well as regular departmental activities. Responsibilities include:




  • Archival processing of analog, born-digital, and hybrid archival collections
  • Applying tools used in the special collections and archival communities (e.g., ArchivesSpace, OCLC, Alma, TreeSize, and ePADD)
  • Contributing to project management, which might include helping to manage project documentation, supporting meetings, and contributing to problem-solving and analysis.
  • Overseeing the work of student library employees as needed
  • Consulting and collaborating, as needed, with staff in other Bancroft and UC Berkeley Library units to ensure appropriate processing of varying formats
  • Assisting in planning a public research symposium related to the processed collections supported by the Mellon Foundation grant.
  • Preparing social media and blog posts and a research guide related to the processed collections.
  • Serving a regular weekly two-hour shift on a public services desk


UC Berkeley librarians are expected to participate in library-wide planning and governance, and work effectively in a shared decision-making environment. Advancement is partially based upon professional contributions beyond the primary assignment; the successful candidate will show evidence or promise of such contributions to the Library, campus, UC System, and profession.



The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments, and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.



UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit.



Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits.



UC Berkeley Library Website:

Bancroft Library Website: visit/bancroft

Library Statement of Values: about/library-values



Qualifications

Basic qualifications (required at time of application)

Advanced degree or enrolled in an advanced degree program.



Additional qualifications (required at time of start)

Advanced degree.



Preferred qualifications

  • Master's degree from an American Library Association (ALA) accredited institution program or equivalent international degree;
  • One year of experience processing archival materials;
  • Formal coursework or training in archival management and theory;
  • Knowledge of and/or experience applying efficient archival processing guidelines and procedures;
  • Knowledge of and/or experience with processing born-digital archival collections;
  • Knowledge of and/or experience with metadata standards like MARC, EAD, and DACS;
  • Knowledge of and/or experience using ArchivesSpace, Alma (or other integrated library systems), and other collection information management systems;
  • Knowledge of and/or experience with project management;
  • Demonstrated analytical, documentation, and communication skills


The Bancroft Library is most interested in finding the best candidate for the job and recognizes that the successful candidate may be one who comes from a less traditional background. We encourage you to apply, even if you don't meet all of the preferred qualifications/experiences listed above.



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter




Reference requirements
  • 3-5 required (contact information only)

References will only be contacted for individuals under serious consideration.



Apply link:
JPF05268

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About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
temporary
Engineering Analyst II
🏢 Spectraforce Technologies
Salary not disclosed
Houston, TX 3 days ago
Job Title: Engineering Analyst

Location: Houston, TX (Hybrid- 3 days onsite)

Duration: 12 Months

POSITION OVERVIEW


The Data Governance Specialist supports the development, implementation, and maintenance of data governance to ensure the quality and democratization of the organization's data assets, with a focus on the data used and maintained by the Data & Systems Strategy (D&SS) department.

This position serves as a crucial liaison between the Asset Information Management team, field operations, engineering, Technical Information Systems, and compliance teams, promoting best practices in data management and fostering a culture of data stewardship across teams involved in asset management, operations, and compliance.

KEY RESPONSIBILITIES

* Implement and monitor data governance best practices, using established frameworks.

* Collaborate with business and technical stakeholders to define data ownership, stewardship, and accountability for asset data.

* Oversee data quality initiatives focused on pipeline asset information, including profiling, cleansing, and remediation activities.

* Ensure D&SS's data management practices align with industry standards and best practices (i.e. ISO, ISA, CFIHOS).

* Develop and maintain data dictionaries, metadata repositories, and data lineage documentation for asset data, aligning deliverables with enterprise-wide parameters and stakeholder work efforts, where applicable.

* Develop and maintain governance documents, processes, and digital workspace environment (SharePoint), including processes and workflows, related to asset-related nomenclature.

* Lead awareness sessions specific to data governance in the pipeline industry and facilitate working groups composed of cross-functional stakeholders.

* Monitor and report on data governance metrics and the effectiveness of implemented controls.

QUALIFICATIONS

* Bachelor's degree in Information Management, Engineering, Computer Science, Business Administration, or a related field.

* 4+ years of experience in data governance, data management, or relevant discipline within the energy sector.

* Familiarity with data governance frameworks and data quality tools.

* Familiarity of pipeline industry regulations (PHMSA), standards, and best practices for data management .

* Excellent analytical, organizational, and communication/presentation skills, with the ability to translate technical requirements to non-technical stakeholders.

* Experience working collaboratively with cross-functional teams, including engineering, operations, and compliance.

PREFERRED SKILLS

* Experience using and reporting from pipeline asset management systems, GIS, or records management platforms.

* Experience with SharePoint management (Design) and using PowerApps (forms and workflows).

* Experience with PowerBI

* Knowledge of master data management (MDM) concepts and their application in asset-centric organizations.

* Strong problem-solving skills and attention to detail, especially in the context of safety-critical infrastructure data.
Not Specified
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