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Position title:
Instructor (Non-Senate, Non-Tenure Track)
Salary range:
The compensation model varies depending upon the course delivery format. For a synchronous Live Online course, a reasonable estimate for this position is $3,000 -$4,000 total per course. For an asynchronous Start Anytime Online course, this position is paid $165 per final student course grade submitted each month; a reasonable estimate ranges from $660 - $21,285 total per course; and monthly payments typically begin within 6 months after the course start date. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors.
Percent time:
Part-time by agreement on a course-by-course basis.
Anticipated start:
Some appointments may begin as early as the spring semester.
Review timeline:
Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply.
Position duration:
Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall, spring, and summer semesters, course length typically ranges from approximately 10 to 12 weeks. For asynchronous online start anytime courses, agreement length typically ranges from 9 to 18 months. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability.
Application Window
Open date: November 21, 2025
Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, Nov 20, 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
UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.
UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.
Courses are offered online:
- Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
- Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
Course Subjects
We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.
Data Analytics and Data Science
- Introduction to SQL
- Introduction to Databases
- Data Warehousing and Business Intelligence
- Data Visualization
- Introduction to Data Analytics
- Python for Data Analysis
- R for Data Analysis
- Data Analytics Capstone
- Introduction to Big Data
- Introduction to Data Science
- Introduction to Machine Learning Using Python
- Machine Learning and Deep Learning
- Artificial Intelligence Foundations
- Data Science Capstone
Software Development and Advanced Software Development
- Introduction to C Language Programming
- C++ Programming
- First Course in Java
- Programming Python
- Data Structures and Algorithms
- Front-End Web Development
- JavaScript Frameworks
- Modern Web Applications and Cloud Computing
- Software Design Patterns
- Software Quality Assurance
- Software Development Capstone
- Java: Discovering Its Power
- Mastering Python
- Back-End Development with Java/Python
- Web Software Security Frameworks
- Advanced Databases
- Advanced Software Development Capstone
Cybersecurity
- Advanced Network Cybersecurity and AI Monitoring
- Cybersecurity AI Risk Management and Governance
- Automated Cybersecurity Incident Response and Digital Forensics
- Advanced Topics in AI Cybersecurity and Capstone
Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects
(please specify in your cover letter)
General Duties
The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).
- For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
- For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
- For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
U.S.A. Residency and U.S.A. Work Authorization
- All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all
Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses
Qualifications
Basic qualifications (required at time of application)
- Bachelor's degree or equivalent international degree required.
Additional qualifications (required at time of start)
- 5 or more years of professional industry work experience since degree.
Preferred qualifications
- 6 or more years of professional industry work experience in the course subject.
- Advanced degree in course subject preferred.
- Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
- Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
- Experience teaching online and/or developing academic content for online courses.
- Ability to convey conceptual and complex ideas and information.
- Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
- Effective verbal/written communication and presentation skills (English).
- Effective organizational skills with attention to detail.
- Ability to collaborate with colleagues and work within a team environment.
- Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
Application Requirements
Document requirements
Curriculum Vitae or Resume - Your most recently updated C.V. or resume.
Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
(Optional)Sample Syllabi and/or Teaching Evaluations (Optional)
Reference requirements
- References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
Apply link:
JPF05017
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
San Francisco Bay Area, California, U.S.A.
Remote working/work at home options are available for this role.
Job Summary:
Our client is seeking a Data Steward to join their team! This position is located Hybrid in Creve Coeur, Missouri.
Duties:
- Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
- Participate in data scraping, data curation and data compilation efforts
- Ensure high quality of the data to end users
- Ensure high quality of the inhouse data via data stewardship
- Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
- Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
- Define data quality rules and implement automated monitoring, reporting, and remediation solutions
- Coordinate intake and resolution of data support tickets
- Support data migration from legacy systems, data inserts and updates not supported by applications
- Partner with the Data Governance organization to ensure data is secured and access is being managed appropriately
- Identify gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
- Create mapping documents and templates to improve existing manual processes
- Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
- Help answer questions from the end-users and coordinate with technical resources as needed
- Build prototype SQL and continuously engage with end consumers with enhancements
Desired Skills/Experience:
- Bachelor's Degree in Computer Science, Engineering, Science, or other related field
- Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
- Applied experience with querying SQL and/orNoSQL databases
- Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
- Data Warehousing experience
- Strong written and verbal communication skills
- Comfortable balancing demands across multiple projects / initiatives
- Ability to identify gaps in requirements based on business subject matter domain expertise
- Ability to deliver detailed technical documentation
- Expert level experience in relevant business domain
- Experience managing data within SAP
- Experience managing data using APIs
- Big Query experience
Benefits:
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
The approximate pay range for this position starting at $104,000 - $115,000+ Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
The pay range for this role is $150,000 - $200,000/yr USD.
WHO WE ARE:
Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.
ABOUT THE ROLE:
Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.
The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).
You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.
WHAT YOU’LL DO:
- Responsible for the full technical life cycle of consumer platform capabilities which includes:
- Capability roadmap and technical architecture in alignment to consumer experience
- Technical planning, design, and execution
- Operations, analytics/reporting, and adoption
- Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
- Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
- Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
- Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
- Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
- Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
- Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
- Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
- Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.
REQUIREMENTS:
- Computer Science, Data Engineering, or related degree or equivalent experience.
- 12+ years experience architecting enterprise data platforms in cloud environments.
- 9+ years experience with data engineering with a focus on consumer data.
- 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
- Strong experience with Data 360 and identity resolution architectures.
- Proven expertise in SQL performance tuning and large-scale data modeling.
- Hands-on experience implementing ML pipelines and recommender systems in production environments.
- Experience with cloud technologies (AWS, GCP, or Azure).
- Experience with integration patterns (API, ETL, event streaming).
- Experience providing technical leadership and guidance across multiple projects and development teams.
- Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
- Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
- Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
- Experience with Databricks or similar distributed data/ML platforms preferred.
Who We Are
At Feetures, movement is our business. And we believe that a meaningful business begins with authentic values—and our values were forged by the bonds of family.
What started as a bold idea around a kitchen table has grown into a fast-moving, purpose-driven brand redefining performance. As a family-owned company in North Carolina, we’re fueled by the belief that better is always possible—and that energy drives both our products and our culture.
Movement is at the heart of everything we do. From our socks to our team and to our communities, we are always pushing forward. If you are ready to grow, challenge the status quo, and help shape the next chapter of a brand that is always in stride, come move with us. Feetures is Meant to Move. Are you?
Role Summary:
The Data Analytics Manager is responsible for owning and optimizing the organization’s end-to-end data ecosystem, ensuring that data infrastructure, governance, and analytics processes effectively support business operations. This role leads the design and management of the data stack—from source system integrations and NetSuite Analytics Warehouse to reporting and business intelligence tools—while establishing strong data governance standards, quality monitoring, and documentation practices. The manager also oversees and mentors analytics team members, prioritizes analytics requests, and coordinates cross-functional data workflows. Acting as the central authority for data reliability and insights, the role ensures consistent metric definitions, scalable data models, and accurate reporting while translating complex data into clear, actionable insights for business stakeholders.
Responsibilities:
Data Architecture & Tooling
- Own the end-to-end data stack — from source system integrations and the NetSuite Analytics Warehouse to downstream reporting layers
- Evaluate, select, and implement tools that improve data accessibility, reliability, and performance
- Ensure alignment between data infrastructure and evolving business needs across distribution operations
- Design and maintain scalable data models, SuiteQL queries, and saved searches within NetSuite
Data Governance & Quality
- Define and enforce data standards, metric definitions, and naming conventions across all business domains
- Establish data ownership, lineage documentation, and access governance policies
- Implement monitoring and alerting for data quality issues across source systems and the warehouse
- Build and maintain a data dictionary that serves as the single source of truth for the organization
Orchestration of Analysts & Systems
- Manage and mentor the Data Analyst and Business Analyst — prioritizing requests, unblocking work, and validating outputs
- Triage and prioritize the analytics request queue in alignment with business stakeholders and IT leadership
- Coordinate cross-functional data workflows and ensure handoffs between systems and analysts are clean and documented
- Serve as the escalation point for data discrepancies, report failures, and analytical questions from the business
Qualifications:
Required
- 3-5 years of experience in data analytics, business intelligence, or data engineering
- 2+ years in a lead or management role overseeing analysts or data team members
- Strong proficiency in SQL; experience with SuiteQL or similar ERP query languages
- Hands-on experience with NetSuite, including Analytics Warehouse, saved searches, and reporting
- Proven track record establishing data governance standards and documentation practices
- Experience integrating and managing multiple data sources across SaaS and ERP platforms
- Demonstrated ability to translate complex data into clear, actionable insights for non-technical stakeholders
Preferred
- Experience in distribution, wholesale, or supply chain environments
- Familiarity with SaaS BI platforms (e.g., Tableau, Power BI, Looker, or embedded analytics)
- Exposure to scripting or automation (JavaScript, Python, or similar) for data workflows
- Background working within IT-led or hybrid IT/Analytics teams
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Life & Disability insurance
- 401(K) with company match
Company Paid holidays and PTO:
- Feetures offers 20 PTO Days which are available to you on day one of employment and are available to all employees, no matter your role. After working at Feetures for 5 years, your PTO days will increase to 25 days. Days can be used for vacations, appointments and sick days.
- We offer 10 company paid holidays and 1 floating holiday per year.
Perks:
- Parking provided (Charlotte office and onsite at Hickory office)
- Employee Engagement team
- Monthly stipend to pursue an active lifestyle
Feetures is an Equal Opportunity Employer that welcomes and encourages all applicants to apply regardless of age, race, sex, religion, color, national origin, disability, veteran status, sexual orientation, gender identity and/or expression, marital or parental status, ancestry, citizenship status, pregnancy or other reasons protected by law.
Role : Technical Product Manager ( Data Analytics )
Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)
Exp Req : 10+
Rate : $55/Hr on W2 Max
Skills Mandatory :
1, Marketing Data Analysis knowledge.
2, KPI and metrics definition on Marketing Data. Mainly for media product.
3, Instrumentation knowledge and through process.
Original JD:
- Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
- Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
- Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
- You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
- Excellent communication, social, and presentation skills with meticulous attention to detail.
- Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
- Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job Description :
- Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
- Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
- Closely partner with our Data Science team to define metrics, datasets, and automation strategy
- Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
- Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
- Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
- Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management
Key Qualifications :
- Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
- Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
- Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
- Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
- Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
- Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
Stephen
Lead Talent Acquisition Specialist
Email :
“Let goodness, fairness, and most importantly, love prevails in business; profits will inevitably follow.” – NK Chaudhary, founder
What we do for our team members:
- Comprehensive Benefits: Company Paid Holidays, PTO, Parental Involvement Leave, Maternity/Paternity Leave, EAP, No Cost Employee Medical Plan, Vision, Dental, and Company Paid Life Insurance. We also include a match on retirement (401K/Roth).
- Career Development: We're committed to providing growth for career development within the company, supporting our team members' aspirations with a well-defined succession plan that includes a variety of training and development opportunities.
- Pet-Friendly Workplace: We welcome your furry friends! Our 'Bring Your Dogs to Work' policy creates a pet-friendly atmosphere, allowing our team members to enjoy the companionship of their dogs during the workday.
- Wellness Support: Not only do we support an active lifestyle with our on-site basketball court and yoga studio, but we host quarterly mental health events to assist in creating a well-rounded work-life harmony for our team members.
- Sustainability Efforts: Reuse, Renew, and Refresh by joining our Green Team! Responsible for harvesting from the organic community garden, donating goods to local pet shelters and schools, creating educational workshops, leading nature walks, and much more, they promote well-being through sustainable practices.
Our Values
Empowerment • Inclusiveness • Responsibility • Progressive
Learn more about our company story here: Jaipur Rugs Foundation
Since 2004, the Jaipur Rugs Foundation has worked to improve the lives of rug-weaving artisans in India. This is done through training, skills development, and social interventions. By focusing on the ideas and solutions that create social value, the Foundation supports the dignity and heritage of these traditional artisans, believing that healthy and sustainable communities are key to the survival of traditional rug weaving. Jaipur Living has made ethical and socially conscious global citizenship the foundation of its business. Through social initiatives and the Jaipur Rugs Foundation, the company supports a supplier ecosystem without a middleman of more than 40,000 artisans in 700 villages across India by providing them with a livable wage, access to health care, leadership education, and opportunities for personal growth and development. Combining time-honored techniques and of-the-moment trends, every Jaipur Living product is as ethically and responsibly made as it is beautiful.
Learn more about the Jaipur Rugs Foundation here: are a fast-growing, design-led B2B home décor and textiles brand with big ambitions. Over the last 12 months, we have revolutionized our technical foundation, investing in Microsoft Dynamics 365 (F&O) and a Microsoft Fabric ecosystem. We are now looking for a seasoned leader to refine our existing infrastructure, optimize our end-to-end data workflows, and bridge the gap between "raw data" and "reliable business intelligence."
This role demands a strong balance of technical depth and operational management. While you must possess expert-level proficiency in data engineering, specifically within the Microsoft Fabric ecosystem and modern data platforms, we also need a leader who is experienced in analytics, data visualization, BI, and translating business needs into analytical solutions. You will be responsible for defining and executing an outcome-based Data & Analytics strategy, building and developing a global team of data engineers, BI developers, and data analysts, and ensuring the company has trusted, scalable, and decision-ready data at every level of the organization. The ideal candidate is a Fabric-certified or Fabric-trained leader, an exceptional communicator, and a proven people manager who can balance hands-on technical depth with strategic leadership.
Key Responsibilities:
Strategic Management & Outcome-Based Delivery
- Tactical Roadmap: Develop and execute a multi-year roadmap that aligns data engineering, BI, and advanced insights with business priorities (e.g., inventory efficiency, margin protection, and growth).
- Process Standardization: Define what “good” looks like for data reliability, documentation, insight quality, and business impact
- Baseline Maturity: Shift the organization from ad-hoc reporting to repeatable, trusted, decision-ready data products
- Advance Automation: Assess the current-state landscape and define a clear path from foundational reporting to automated, predictive analytics.
- Executive Communication: Serve as the single point of accountability for all data and analytics capabilities, translating technical progress into business-relevant implications across the organization
Infrastructure Optimization & Fabric Engineering
- Systemic Optimization: Lead the audit and refinement of the existing Fabric environment (Lakehouse, Pipelines, Notebooks) to improve overall performance, stability, and refresh reliability
- Engineering Standards: Set the "gold standard" for architecture, data modeling, testing, and deployment (CI/CD), ensuring the stack is hardened for enterprise-scale growth
- Reduce Manual Effort: Minimize operational risk by standardizing pipelines, refresh processes, and metric calculations
- Automation & Reliability: Systematically identify and eliminate manual reporting and spreadsheet-based workflows through robust automation in PySpark and Fabric
- Proactive Governance: Establish monitoring, alerting, and exception-handling processes to manage data quality and refresh failures before they impact the business
Analytics & Decision Enablement
- High-Quality BI Delivery: Oversee the design and delivery of visually appealing Power BI dashboards that simplify complexity and adhere to our design-led brand standards
- Metric Governance: Ensure KPI definitions and reporting logic are consistent across the company, acting as the arbiter of "the truth" for business metrics
- Advanced Analytics: Identify and operationalize high-value use cases for predictive analytics (e.g., demand forecasting, product lifecycle analysis) as platform maturity increases
- Business Translation: Partner with business leaders to translate business requirements into scalable, intuitive, impactful analytics solutions
- Business Evolution: Lead the transition from descriptive and diagnostic reporting to forward-looking insights that support planning and decision-making
Global Team Leadership & Talent Development
- People Leadership: Directly lead and develop a 3–5 person global team (primarily based in India), establishing clear roles, accountability, and a high-performance culture
- Skill Development: Create career paths and skill-development plans for engineers and analysts to ensure consistent, high-quality delivery
- Operating Model: Build a scalable offshore capability that delivers at speed while maintaining rigorous standards for code quality and documentation
Skills & Minimum Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.
- 10+ years of experience in data engineering, analytics, or BI, with director-level scope or equivalent ownership
- Deep hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks, semantic models)
- Fabric certification or formal Fabric training strongly preferred
- Strong experience with PySpark and Spark-based transformations
- Strong understanding of Azure data services and modern data architectures
- Exceptional dashboard-development skills using Power BI; portfolio-quality experience preferred
- Strong understanding of data storytelling, executive-ready visualization, and intuitive UI/UX design
- Experience gathering business requirements and translating them into analytical products
- Proven experience leading and developing global / offshore teams
- Strong communicator with the ability to influence at senior levels
- Experience supporting ERP-driven environments; Dynamics 365 preferred
- Ability to juggle strategy, execution, and stakeholder communication simultaneously
Success Measures (First 12–18 Months)
- Strategy Execution: An outcome-based Data & Analytics strategy that is fully operational and tied to business outcomes
- Optimized Infrastructure: A trusted, scalable Fabric platform with significantly reduced manual reporting and 99%+ data availability
- Dashboard Adoption: A suite of high-quality dashboards used daily and weekly by business leaders to drive decision-making
- Team Growth: A high-performing global team with a track record of delivering complex analytics products with speed and precision
Physical Requirements:
- Remaining in a seated position for long periods of time
- Standing is to remain on one’s feet in an upright position without moving about
- The ability to alternate between sitting and standing is present when a worker has the flexibility to choose between sitting or standing as needed when this need cannot be accommodated by schedules breaks and/or lunch period
- Lifting and transporting items that could weight up to 25 pounds
- Entering text or data into a computer by means of a traditional keyboard
- Expressing or exchanging ideas by means of the spoken work to impart oral information to clients and talent and convey detailed spoken instructions to other workers accurately and quickly
- The ability to hear, understand, and distinguish speech and/or other sounds such as in person and telephone
- Clarity of vision to see computer screens and workspace
The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support.
KEY RESPONSIBILITIES
- Developing and implementing data management strategies
- Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations.
- Lead a team of database and Power BI developers
- Leverage Data Modeling and AI tools
- Managing data quality and accuracy
- Overseeing data storage and retrieval
- Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions
- Determine budgeting for staff and resources
- Gathering and verifying requirements, conducting unit testing and troubleshooting
- Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs
- Mentoring and training direct reports
- Ensure all data warehouse and operating procedures are fully documented and maintained
- Create and Automate reporting to support daily operational functions
- Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives.
- Creating and presenting data visualizations
- Communicating business insights and project goals
QUALIFICATIONS AND EXPERIENCE
- Experience designing data management solutions for ecommerce, sales, accounting, and warehousing
- Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem.
- Background in data warehouse design (e.g. dimensional modeling) and data mining
- Proven experience as a SQL Developer or Data Scientist
- Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity
- Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies.
- Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts.
- Strong project management acumen
- Strong technical documentation skills
- Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts.
- Excellent written and oral communication skills; able to flex style based on the audience are required.
- Well-developed interpersonal skills
- Able to manage multiple tasks simultaneously.
- Highly self-motivated with ability to follow directed priorities.
- Keen attention to detail
- Team-oriented and collaborative leadership
EDUCATION REQUIREMENT
Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field.
BUSINESS HOURS
- Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume.
- On-call availability for resolving emergency issues from home.
Job Title: Data Examiner II
Location: Phoenix, AZ 85021
Hours/Week: 50
Shift: Day (8:00 AM – 5:00 PM)
Minimum Education Level: High School
Career Level: Entry Level
Onsite Requirement: Yes, local candidates only
Travel Required: No
Security Clearance: Yes (background check and drug screening via HireRight)
Position Overview
The Data Examiner II is responsible for reviewing, processing, and validating documents and data within systems such as FAA’s Document Management System (OnBase) and HEAPlus. The role involves ensuring data integrity, proper indexing, and timely reporting while maintaining compliance with office policies and procedures. Candidates must be local, able to attend in-person interviews within a week, and start within two weeks of an offer.
Key Responsibilities
- Review and process documents/applications for accuracy and completeness.
- Prepare eligibility documents, bar-code, scan, index, and upload documents into OnBase and HEAPlus systems.
- Validate scanned documents and ensure correct indexing into eligibility types.
- Send appropriate notices and emails; correct addresses in the system.
- Document and validate returned mail, sort and prep mail for scanning, and refer items to appropriate personnel.
- Follow administration and office/unit guidelines; may require translation or bilingual services.
- Compile data and complete reports accurately and timely.
- Adapt to changing environments, technologies, and priorities.
- Multi-task, prioritize work, and maintain organizational efficiency.
Required Skills
- Good listening, oral, and written communication skills.
- Ability to establish and maintain effective working relationships.
- Effective time management and organizational skills.
- Accurate data compilation and timely report generation.
- Ability to adapt to changing environments and new technologies.
- Multi-tasking and prioritization skills.
Preferred Skills
- Proficiency in computer software programs: Microsoft Word, Excel, Google Workspace.
- Experience with operation of terminal computers to input data and review case records.
- Familiarity with office practices and procedures.
Role Summary
The Director/Sr Director, Enterprise Data, Analytics & Integrations owns the enterprise data and reporting strategy for a large, distributed retail footprint (~900 locations). This leader is accountable for modernizing and operating the end-to-end analytics ecosystem—from ingestion and integration through semantic modeling, governance, and executive reporting—while partnering deeply with business stakeholders to drive measurable outcomes (sales, margin, inventory productivity, labor efficiency, customer experience).
This role builds and scales a pragmatic operating model (often a BI/Analytics “Center of Excellence” approach) to ensure consistent metrics, trustworthy data, disciplined governance, and high adoption across the organization.
Key Responsibilities
Enterprise Data & Reporting Strategy
- Define and execute a multi-year enterprise data and reporting strategy aligned to corporate and retail operating priorities (store ops, merchandising, supply chain, finance, digital/eComm).
- Establish a single source of truth for KPIs and retail performance management (enterprise metric definitions, hierarchies, dimensional models, semantic layers).
- Build a roadmap for self-service analytics that balances empowerment with governance, standardization, and security (COE patterns, standards, training, adoption).
Retail Analytics Platform Ownership (Oracle Retail Insights + Power BI + Fabric)
- Lead the functional and technical ownership of Oracle Retail Insights as a core retail BI/warehouse capability, including data sourcing, transformations, and retail-ready reporting content.
- Own enterprise reporting and visualization strategy in Power BI, including dataset design, semantic models, performance tuning, governance, and release management.
- Drive the adoption and operationalization of Microsoft Fabric (OneLake/lakehouse patterns, ingestion, transformation, warehousing, real-time/stream needs where applicable) to modernize data workflows end-to-end.
Integrations & Data Movement (Oracle Katalist and broader ecosystem)
- Own integration strategy and execution to connect retail applications, legacy systems, and cloud platforms—ensuring scalable, supportable interfaces and high-quality data synchronization.
- Establish integration standards (API strategy, event vs. batch patterns, SLAs, monitoring/alerting, incident response) and ensure resilience for store-critical and enterprise-critical feeds.
- Partner with application owners and vendors to prioritize integration backlog and deliver at retail speed (testing discipline, cutover planning, rollout across 900 locations).
Data Governance, Quality, Security, and Compliance
- Stand up data governance practices: data ownership, stewardship, data quality rules, lineage, controlled metric definitions, and change control.
- Ensure appropriate security and privacy controls (role-based access, sensitivity labels where used, auditability), especially for customer/loyalty and employee-related data.
Business Partnership & Value Realization
- Serve as a strategic partner to senior business leaders—translating business goals into analytics products and integration capabilities.
- Build a cadence of value measurement (adoption, time-to-insight, KPI improvements, reduced manual effort) and communicate progress through executive-ready dashboards and narratives.
- Lead prioritization across competing demands with a clear “enterprise first” lens.
Vendor / MSP Management and Financial Stewardship
- Manage systems integrators/MSPs delivering data engineering, BI development, and integration services—ensuring quality, velocity, security, and cost control.
- Own budgets and vendor contracts; establish outcome-based SLAs, performance scorecards, and governance routines.
Required Qualifications
- 10+ years in enterprise data/analytics and/or integration leadership, with 5+ years managing teams and/or MSP/SI delivery.
- Demonstrated success building enterprise reporting strategy, KPI governance, and scalable analytics operating models (COE-style governance, enablement, and standards).
- Hands-on leadership experience with modern analytics stacks, including:
- Power BI (semantic modeling, governance, tenant/workspace standards, enterprise rollout)
- Microsoft Fabric (end-to-end analytics workflows across ingestion, transformation, warehousing/lakehouse, and reporting)
- Oracle Retail Insights (retail analytics/BI, data sourcing, retail hierarchies/metrics, operational reporting)
- Strong integration leadership: API-based integrations, ETL/ELT patterns, orchestration, monitoring, and SLAs.
- Proven ability to influence and partner across business and technology (merchandising, store ops, supply chain, finance, digital).
- Experience operating in a multi-site retail environment (hundreds of stores/locations strongly preferred).
Preferred Qualifications
- Experience with Oracle retail ecosystem components and retail data models (merchandise, inventory, pricing, promotions, loyalty/customer).
- Experience implementing or scaling a data governance program (catalog/lineage, DQ rules, stewardship).
- Familiarity with low-code or orchestration integration platforms (including Katalist capabilities where applicable).
- Background in product management for data/analytics (roadmaps, backlogs, adoption).
Leadership Attributes / Competencies
- Retail-first mindset: understands store operations realities, field adoption, and the need for reliable daily metrics.
- Operating model builder: establishes standards, governance, and enablement that scale across functions and geographies.
- Execution + strategy: can set a vision and deliver tangible value iteratively.
- Vendor leadership: drives outcomes with MSPs/SIs through disciplined governance and measurable performance.
- Data trust champion: relentlessly improves data quality, reliability, and clarity of definitions.
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.
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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.
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Education
• Juris Doctor (JD) degree from an accredited law school.
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Certifications
• Active bar admission in the relevant jurisdiction.
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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.
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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.
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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.
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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.