Ceic Data Jobs in Usa

Perform a variety of routine and complex skilled and technical work in the maintenance of a Geographic Information System (GIS) relating to the Public Works Computerized Maintenance Management System (CMMS) and asset management program. Act as the primary contact for Public Works CMMS data stewardship. Apply GIS technology to provide GIS and CMMS data related technical support. Perform research, analysis, design and creation of data and applications for use in the Geographic Information System. These tasks are illustrative only and may include other related duties.

Collects, inputs, edits, and verifies spatial data from a variety of internal and external data inputs. Integrates associated attribute data. Manipulates, models, and analyzes spatial data in the geographic information system. Documents data entry and related procedures.

Maintains Public Works GIS datasets and mapping system. Applies GIS technology to produce and perform advanced data entry and manipulation, produces documentation, and performs spatial analysis. Develops and runs spatial queries and produces reports.

Modifies and maintains CMMS data to support asset data analysis. Collaborates with Asset Management staff and Public Works supervisors to assist in program development by gathering information for assets and other new and old data and information needed to allow the asset data system to function effectively; creates new codes for the above areas mentioned and when necessary modifies asset characteristics and descriptions.

Coordinates with Public Works program supervisors to efficiently and accurately enter data into the system. Collects and enters asset data into the CMMS and related databases from various sources including direct field investigation; documents such as as-built drawings, invoices, and O&M manuals.

Generates standard and ad-hoc reports using the standard report structure of the asset data system, and other end user reporting tools, provides information for the preparation and distribution of periodic standard location and equipment reports to support maintenance teams and management requests.

Performs quality control checks of asset data to ensure the accuracy of all data within the system.

Provides implementation and ongoing operational support for GIS/CMMS and GIS/CMMS users.

Provides system and data troubleshooting. Collaborates with IT to resolve system or data issues.

Develops programs, procedures, and applications using GIS and related software tools.

Applies software such as, CAD, database, spreadsheet, word processing, communications, graphics and web publishing software to the production and delivery of GIS related products.

Provides daily user support including routine troubleshooting and system and data maintenance for asset data analysis, working closely with Information Technology to evaluate responsibility for addressing specific requests.

Provides technical assistance and guidance to users of GIS products. Performs departmental-focused project management. Meets with GIS users to define project requirements and set priorities.

Participates on interdepartmental teams and committees for GIS and CMMS projects. Contributes to work group GIS software design projects. Maintains an understanding of the ESRI product portfolio and provides guidance for Public Works' use of available tools.

Operates printers, copiers and large-format plotters, and has ability to load large rolls of paper into plotters.

Acts ethically and honestly; applies ethical standards of behavior to daily work activities and interactions. Builds confidence in the City through own actions.

Conforms with all safety rules and performs work is a safe manner.

Delivers excellent customer service to diverse audiences. Maintains positive customer service demeanor and delivers service in a respectful and patient manner.

Maintains effective work relationships.

Arrives to work, meetings, and other work-related functions on time and maintains regular job attendance.

Complies will all Administrative Policies. Performs work in accordance with Council Policies and Municipal Code sections applicable to position.

Education and Experience
High School diploma or equivalent. Four years of professional experience in designing, supporting and implementing GIS applications. A post-secondary degree in GIS or closely related field may substitute for up to 4 years of experience.

Strong computer background in GIS software, Computer Aided Drafting software, related third party GIS software applications, database management systems software and windows based operating systems.

Municipal experience is desired.

Knowledge, Skills and Abilities
General knowledge of the principles, theories and methods of database concepts, structures, and programming logic; and the various types, classes, uses, and interrelationships of assets within a typical municipal Public Works department.

Advanced skills in use of GIS and CMMS related software in a production environment.

Ability to program in GIS, relational and spatial database, and web languages is desired.

Good oral and written communication skills; ability to communicate technical information to a non-technical audience, ability to research, interpret and summarize data.

Ability to prioritize multiple projects from numerous customers.

Knowledge of cartographic principles, spatial analysis techniques, and data management practices.

Ability to research and recommend new methods, equipment, or programs to better accomplish tasks.

Ability to travel among City worksites.

Special Requirements
Ability to pass a pre-employment background and/or criminal history check

Demonstrable commitment to sustainability.

Demonstrable commitment to promoting and enhancing equity, diversity and inclusion.

The individual shall not pose a direct threat to the health or safety of the individual or others in the workplace.

Qualified applicants must submit an online application located on the City of Corvallis website (click on "Apply" above).

Resumes will not be accepted in lieu of a completed online application. Incomplete applications will not be accepted/considered.

Position is open until filled.
First review of applications will occur after 8:00 am on February 4, 2026

*Please do not include personal or protected information in attached resumes or cover letters, this includes your birth date, age, dates of education, and graduation dates.*

The Manager of Data is responsible for overseeing the collection, management, and analysis of institutional data to support decision-making and strategic planning. This role involves leading a team of data analysts and ensuring data integrity, security, and compliance with relevant regulations. Additionally, the manager collaborates with various departments to develop data governance policies and implement effective data management practices that enhance the institution's ability to leverage data for improved outcomes.

Job Duty 1 -
Oversee the development and implementation of data management strategies to ensure the accurate collection, storage, and retrieval of institutional data.

Job Duty 9 -
Collaborate with academic and administrative departments to identify data needs and develop solutions that enhance data accessibility and usability.

Job Duty 10 -
Perform other duties as assigned.

Job Duty 2 -
Lead a team of data analysts in conducting data analysis and reporting to support institutional decision-making and strategic initiatives.

Job Duty 3 -
Establish and enforce data governance policies to ensure data quality, integrity, and compliance with relevant regulations and standards.

Job Duty 4 -
Monitor data management systems and tools, ensuring they are maintained, updated, and aligned with best practices in data security and privacy.

Job Duty 5 -
Provide training and support to staff on data management practices, tools, and analytical techniques to foster a data-driven culture within the institution.

Job Duty 6 -
Conduct regular audits of data processes and systems to identify areas for improvement and implement corrective actions as needed.

Job Duty 7 -
Prepare and present comprehensive reports on data trends, analysis findings, and management initiatives to senior leadership and relevant stakeholders.

Job Duty 8 -
Stay informed about emerging data management technologies and methodologies to continually enhance the institution's data management capabilities.

Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience.

Required Experience
5+ years of relevant experience; 3+ years of supervisory knowledge.

Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.

• Master's degree in Computer Science, Information Technology, Information System, Data Science, Business Administration, related discipline or equivalent, related experience.
• Certified Data Management Professional certification.
• Experience designing, implementing and operating Security Information Management solutions such as SIMS or ThreatSwitch.
• Advanced knowledge of SQL, database design and data modeling expertise.
• Experience in managing and securing enterprise security database systems containing sensitive and regulated data.
• Experience in cross-departmental collaboration during security investigations, assessments, and compliance reviews.

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). This position is in the Research Security Department (RS) of GTRI.

Open date: October 14, 2025

Most recent review date: Friday, Nov 14, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Mar 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.

The Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation's premier public universities. 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 members. 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.

The Library Data Services Program (LDSP) guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery, and librarian-led instruction and consultations. LDSP works with UC Berkeley librarians and library staff to provide internal professional development and training opportunities to enhance our data management skills and provide data services for our users. LDSP provides data services to all disciplines at UC Berkeley through collaboration with librarians and library staff in the Library's divisions including Arts and Humanities, Instruction Services, Sciences, and Social Sciences.

Responsibilities

The Data Instruction and Outreach Librarian will work in partnership with and under the guidance of the Data Services Librarian in the Library Data Services Program. Librarians and staff in the Library Data Services Program collaborate closely with subject librarians and library staff to provide data support for researchers, faculty, and students who are using data in research, teaching, and learning. This librarian will actively participate in the Library's instruction services-providing consultations, teaching workshops, and designing instructional content.

The Data Instruction and Outreach Librarian will develop and maintain a scaffolded approach to data instruction that includes: supporting novice users, including undergraduate students, who may be unaccustomed to working with data; providing instruction and outreach for the library's licensed datasets and platforms; and collaborating with subject and instruction librarians to teach data literacy, ethics, analysis, and visualization. This position also works to integrate data literacy and data science pedagogical practices into the library's instructional portfolio, with a special focus on undergraduates. Since using AI in data analysis workflows is becoming more common, the librarian will help faculty, researchers, and students use licensed AI tools in conjunction with ethical and legal use of library resources, as well as within the broader University context.

The librarian will engage with the Research Data Management Program. This unique program bridges the UC Berkeley Library and Research IT to conduct outreach related to data management, storage, and sharing. UC Berkeley, through entities like the Library, the College of Computing, Data Science, and Society, the D-Lab, the Berkeley Institute for Data Science, and the Berkeley Initiative for Transparency in the Social Sciences, actively supports the development of research and classroom environments that champion transparency and reproducibility. The successful incumbent will collaborate with these campus partners and librarians to facilitate open research practices and workflows where possible.

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. This is an externally funded appointment.

This position is eligible for some remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

UC Berkeley Library Website:

UC Berkeley Library statement of values: about/library-values

Advanced degree or enrolled in an advanced degree program.

• 
  
• Advanced degree.
  
• Two years of experience providing reference and instructional services in an academic or professional setting.
  

• 
  
• Master's degree from an American Library Association (ALA) accredited institution program or equivalent degree.
  
• Demonstrated commitment to the Library's values.
  
• Demonstrated analytical, presentation, and communication skills.
  
• Demonstrated ability to provide effective instruction and training related to digital literacy, artificial intelligence, technology skills, and/or research data management.
  
• Experience working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell.
  
• Participation in The Carpentries or other data science education program.
  
• Demonstrated experience working effectively with all staff in a highly collaborative, matrixed environment.
  
• Experience working collaboratively with multiple stakeholders in an academic environment.
  
• Experience accessing, creating, analyzing, or manipulating qualitative and/or quantitative data for academic research purposes. This may include experience with datasets in the sciences (e.g. astronomy, ecology, genomics) or social sciences (e.g., government, financial, survey).
  
• Demonstrated knowledge and application of data ethics including awareness of key topics related to artificial intelligence, data privacy, security, and bias as well as legal uses of licensed and open data.
  

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

  
  

• Cover Letter

  
  

• 3-5 required (contact information only)

Help contact:

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
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: March 4, 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: Thursday, Mar 4, 2027 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.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

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

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

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
  

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.

• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.

• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.

• Better together:We check our egos at the door. We work together, so we win together.

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Duties & Responsibilities:

• Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
• Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
• Optimize data structures and queries for performance, reliability, and cost efficiency.
• Drivedata quality and governance initiatives, including metadata management and validation frameworks.
• Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
• Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
• Ensure adherence tosecurity, compliance, and data privacystandards.
• Mentor junior engineers and contribute to establishingengineering best practices.
• SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
• Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
• Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.

Technical Skills:

• Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
• Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
• Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
• Strong understanding ofdata modeling,data governance, andmetadata management.
• Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
• Familiarity withPower BIvisualization tool.

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
• Experience buildingreal-time data pipelinesand streaming frameworks.
• Strong analytical and problem-solving skills.
• Proven ability tolead projectsand mentor engineers.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Exposure tomachine learning integrationwithin data engineering pipelines.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Job ID: 410348

Practice area:- Data Privacy - Litigation,Data Privacy - Transactional

Data Privacy & Cybersecurity Associate Attorney (3–5 Years Experience) – Privacy Compliance & Cyber Incident Response | New York, NY

Keywords:- Data Privacy Associate Attorney, Cybersecurity Attorney, Privacy Compliance Attorney, Data Protection Litigation Attorney, Litigation Attorney New York, New York legal jobs, Attorney jobs NYC, NY Bar required, Law firm litigation associate, Partner-track position, lawyer,data processing agreement, DPA, standard contractual clauses, privacy policy, cross-border transfer, SaaS privacy, controller-processor, data map, vendor contract, information security addendum, data transfer impact assessment

A top-tier law firm is seeking a Data Privacy Associate Attorney (3–5 years experience) to join its Cybersecurity, Privacy, and Data Protection practice in New York, NY. Work on cutting-edge privacy compliance matters, regulatory investigations, and cyber incident response within a highly respected national practice.

Associates say that this Vault 20 law firm offers consistently substantive work across all levels of seniority and a collegial atmosphere. The prestigious firm, which has offices located across the country, provides valuable training and abundant mentorship opportunities to its associates, as well as a partner-track atmosphere that strives for high associate retention. Associates also praise the firm for its generous pro-bono and face-time policies.

________________________________________

A nationally recognized top-tier law firm is seeking a Data Privacy Associate Attorney to join its expanding Cybersecurity, Privacy, and Data Protection practice in New York, NY. This opportunity is ideal for attorneys with strong experience advising clients on cybersecurity compliance, data protection regulations, and incident response strategies.

Attorneys pursuing New York legal jobs in privacy and cybersecurity law will gain hands-on experience advising companies across industries on regulatory compliance, privacy frameworks, and litigation risks associated with data protection. The Data Privacy Attorney will collaborate with multidisciplinary teams while working directly with sophisticated clients navigating evolving global privacy regulations.

This partner-track position offers significant professional growth for attorneys seeking New York legal jobs in one of the fastest-growing legal practice areas. The firm is actively interviewing candidates with strong law firm experience who want exposure to complex cybersecurity matters and regulatory investigations.

________________________________________

Key Responsibilities

• Advise clients on cybersecurity compliance and data privacy regulations.

• Develop and implement corporate privacy policies and governance programs.

• Provide legal guidance during cyber incidents and data breach responses.

• Assist clients with data breach notification requirements and regulatory compliance.

• Conduct regulatory investigations and litigation related to privacy violations.

• Collaborate with internal legal teams and cybersecurity professionals on compliance strategies.

• Draft legal memoranda, compliance documentation, and regulatory responses.

________________________________________

Qualifications

• 3–5 years of experience practicing as a Data Privacy Associate Attorney or similar role.

• Prior large law firm experience in privacy, cybersecurity, or regulatory compliance.

• Strong understanding of privacy laws, data protection frameworks, and cybersecurity regulations.

• Excellent legal research, writing, and analytical abilities.

• Ability to work effectively in a fast-paced legal environment.

• NY Bar required and active license to practice law in New York.

• Superior academic credentials.

________________________________________

Education

• Juris Doctor (JD) degree from an accredited law school.

________________________________________

Certifications

• Active bar admission in the relevant jurisdiction.

________________________________________

Skills

• Strong analytical and problem-solving capabilities.

• Excellent legal writing and research skills.

• Effective communication and presentation abilities.

• Ability to collaborate within cross-disciplinary legal teams.

• Strong client advisory and risk management skills.

________________________________________

Culture & Firm Appeal

This opportunity is with a nationally respected top-tier law firm known for providing sophisticated legal services across a wide range of industries. The firm maintains a strong reputation for handling complex regulatory, cybersecurity, and litigation matters for major clients.

Attorneys benefit from a collegial and collaborative culture where mentorship and professional development are prioritized. Associates consistently receive meaningful responsibility early in their careers and gain exposure to complex legal matters across the cybersecurity and privacy landscape.

Professionals exploring New York legal jobs will value the firm’s commitment to mentorship, high-quality legal work, and a strong partner-track environment designed to support long-term career development.

________________________________________

Why This Role Is Unique

• Work at the forefront of cybersecurity and data privacy law, one of the fastest-growing legal practice areas.

• Advise clients on complex data breach incidents and privacy compliance strategies.

• Exposure to high-profile regulatory investigations and privacy litigation matters.

• Collaborative team environment with strong mentorship and training.

• Clear partner-track position within a respected national legal practice.

• Ideal opportunity for attorneys seeking advanced New York legal jobs in cybersecurity and privacy law.

This position rarely opens at this level and provides attorneys the opportunity to build expertise in a rapidly evolving legal practice area while working with sophisticated clients.

________________________________________

Benefits

• Comprehensive health insurance.

• Retirement savings plan.

• Professional development opportunities.

________________________________________

Call to Action

Apply now for a confidential discussion with a BCG Attorney Search recruiter.

Explore this elite-level opportunity today.

Submit your resume to learn more about this prestigious role.

________________________________________

BCG Attorney Search is the industry leader for placing candidates in permanent positions in law firms. Since 2000, our recruiters have placed several thousand attorneys and enjoyed extraordinarily high success rates with our candidates. As a BCG Attorney Search candidate, you have access to more opportunities than any legal placement firm in the United States. We are able to offer the most in-depth insight in the legal recruiting market thanks to our dedicated team of over 150 employees who mercilessly research, study and analyze the legal market. The depth and breadth of our research empowers us to place attorneys at rates that are unparalleled at any placement firm in the United States. Many of our recruiters make 30 to 40 placements per year, while recruiters at competitor firms are likely to make four or five. Unlike other placement firms that can only tell you about openings at major AmLaw firms, we place candidates of all backgrounds in firms of all sizes. While other legal recruiters only represent a narrow band of candidates from top law firms and top law schools, our research, firm contacts, and market insight allow us to place hundreds of candidates each year who do not fit this mold. It is rare that we do not get candidates we represent interviews and offers. No one in the world is better at legal recruiting and placement than BCG Attorney Search.

BCG Attorney Search will confidentially review your application and will not forward your materials to the firm without first discussing the opportunity with you.

Job Overview:

Armas Pharmaceuticals is seeking a highly analytical and detail-oriented Business Data Analyst to join our growing team. This entry-level position is ideal for a recent graduate who is passionate about data analysis, business intelligence, and process improvement.

The analyst will play a key role in supporting the Finance and Operations teams by analyzing business data, preparing reporting for senior leadership, and helping improve internal data systems. The role requires strong Excel proficiency, analytical thinking, and the ability to translate raw data into actionable insights.

This position offers a unique opportunity to work cross-functionally while contributing to strategic decision-making and operational efficiency.

Key Responsibilities:

Data Analysis & Reporting

• Analyze business and sales data to identify trends, patterns, and performance insights.

• Prepare structured data sets and reports for senior management and leadership review.

• Support ongoing business reporting initiatives through data analysis and visualization.

Financial & Operational Support

• Assist the finance team with data preparation, analysis, and reporting processes.

• Support financial modeling and reporting through structured data organization.

• Ensure accuracy and consistency of financial and operational datasets.

Data Systems & Automation

• Assist in developing and improving automated reporting processes using Excel and         related tools.

• Contribute to the expansion and maintenance of the company’s internal data warehouse.

• Identify opportunities to streamline workflows through automation and improved data    structures.

Partner & Business Intelligence Support

• Prepare partner data and operational metrics to support leadership reporting.

• Work with cross-functional teams to compile and analyze key business metrics.

• Help develop scalable data processes that improve business visibility.

Innovation & Technology

• Explore opportunities to leverage AI tools and integrations to enhance business   intelligence, automation, and reporting capabilities.

• Assist in identifying technologies that improve data accessibility and decision-making.

Qualifications:

Education

• Bachelor’s degree required in one of the following or related fields:

·       Finance

·       Economics

·       Business Analytics

·       Data Science

·       Mathematics

·       Information Systems

·       Business Administration

Required Skills

• Advanced Microsoft Excel skills (pivot tables, advanced formulas, data analysis tools).

• Strong analytical and critical thinking ability.

• Ability to organize and interpret large datasets.

• Excellent attention to detail and data accuracy.

• Strong written and verbal communication skills.

• Ability to work independently while collaborating across departments.

Preferred Skills (Bonus)

• Experience with data visualization tools (Power BI, Tableau, etc.)

• Exposure to SQL or database systems

• Familiarity with data warehouse concepts

• Experience integrating or applying AI tools to business processes

Compensation & Benefits:

• Salary: $50,000 – $60,000 annually

• Performance-based bonus opportunity

• Full-time employee benefits including:

• Health insurance (after eligibility period)

• 401(k) retirement plan (after eligibility period)

• Paid Time Off (PTO)

• Participation in company incentive programs

About Armas Pharmaceuticals, Inc.

Armas Pharmaceuticals is a generic pharmaceutical company delivering an ever-growing portfolio of high-quality products that provide convenience, affordability, and consistency. Through the development of strong partnerships and industry relationships, Armas maintains this pipeline of products with customer and patient satisfaction in mind. Headquartered in Freehold, New Jersey, Armas Pharmaceuticals is always open to new partnership opportunities and ways to offer our customers the best products at affordable prices. For more information, please visit  .

As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.

Your Primary Responsibilities may include:

• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.

• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.

• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.

• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.

• Influence and contribute to strategic improvements to data assessment processes and analytical tools.

• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.

• Subject matter expertise on multiple platforms.

• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.

Qualifications include:

• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.

• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.

• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.

• 5+ years of Data Quality Management experience.

• Strong familiarity with data architecture and/or data modeling concepts

• 5+ years of experience with Agile or SAFe project methodologies

• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.

• Preferred: Experience in Travel Industry.

• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology

Leadership Skills may include:

• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.

• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.

• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.

• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

• Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
• Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
• Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
• Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
• Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
• Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
• Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

• Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
• Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
• Review and approve reporting change requests, data model modifications, and access requests.
• Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
• Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

• Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
• Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
• Build and govern the centralized semantic model that powers reporting across the company.
• Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
• Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

• Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
• Communicate complex architectural concepts in clear, business-friendly terms.
• Lead cross-functional initiatives that require unified data structures or scalable reporting.
• Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

• Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
• Track record of establishing and enforcing enterprise reporting standards and governance.
• Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
• Able to operate as both an individual contributor and a strategic leader.
• Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
• Comfortable influencing architectural decisions and guiding technical execution.
• Strong command of foundational tools and languages such as:
• DAX
• Power Query / M
• SQL
• Fabric pipelines / ETL tooling
• Experience with automation and AI-assisted analytics workflows.