Job description

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world. How we LEAD: We seek an experienced and driven Sr. Product Manager – Data Products within the Global Data & Analytics Products team. You are passionate about building scalable, high-quality data products that power analytics, machine learning, AI, and intelligent decision-making across UMG. You are equally comfortable discussing customer outcomes with business stakeholders as well as data architecture, pipelines, and semantic models with engineering teams. You will lead the strategy and execution for data assets that enable trusted, governed datasets for teams across the business. Your work will lay the foundation for advanced ML & AI use cases, experimentation, personalization, automation, and enterprise reporting. We are looking for a technically minded Product Manager who will partner closely with engineering, analytics, machine learning, governance, and business stakeholders to define products that are trusted, scalable, and AI-ready. You enjoy working at the intersection of technology, data, and business strategy and are energized by solving complex platform problems and launching AI data products This role will report to the Sr. Director of Product Management (Data Platform). How you’ll CREATE: Define product strategy for foundational data capabilities, including curated datasets, semantic models, feature stores, APIs, and data services that enable downstream analytics and AI applications Define, track, and report key data product metrics, including adoption, data quality, latency, completeness, and downstream usage. Define and deliver reusable, scalable, well-documented data assets for analytics, BI, ML, and operational use cases. Partner with data engineering, governance, ML Engineering, and analytics teams to define data models, domain boundaries, data contracts, transformation logic, and data quality standards that enable scalable enterprise products. Translate business requirements into technical product requirements, balancing usability, scalability, governance, and long-term platform vision. Ensure data assets are structured to support experimentation, personalization, predictive analytics, and AI initiatives. Support integrations with new data sources to enhance data completeness and enrichment Remove impediments for engineering teams due to unclear requirements, misaligned priorities, or stakeholder ambiguity. Leverage AI-assisted product management practices to accelerate discovery, documentation, prototyping, and delivery while maintaining strong governance and quality standards. Bring your VIBE: 5 years of experience building data-intensive products, with a strong technical foundation in data engineering, analytics, or data architecture. Previous hands-on experience in one of these disciplines is highly desirable. Demonstrated ability to earn credibility with highly technical engineering teams while effectively communicating complex concepts to executive and business stakeholders. Strong understanding of modern data architecture, dimensional modeling, semantic layers, data contracts, APIs, and scalable data platform design. Experience partnering closely with data engineering and analytics teams to deliver scalable data solutions. Experience working with modern cloud data platforms, orchestration frameworks, data transformation tools, and metadata/governance platforms Strong SQL skills with the ability to independently validate data, investigate issues, and collaborate effectively with engineers during solution design. Experience in defining and measuring data quality and governance standards Comfortable discussing architectural tradeoffs with engineers and understand how platform decisions impact scalability, performance, governance, and downstream AI use cases. Strong stakeholder management and executive communication skills Comfortable operating in ambiguity and driving alignment across diverse teams Previous experience as a management consultant a plus Strong storyteller and systems thinker Knowledge of the music and label business a plus Perks Playlist: Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren’t just values—they’re how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer): Comprehensive medical, dental, and vision coverage Including 100% coverage for out-patient in-network mental health services Fertility coverage for eligible medical plan participants Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year) Student Loan Repayment Assistance and Tuition Reimbursement 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution A variety of ways to prioritize much-needed time away from work including: Flexible Paid Time Off (PTO) for exempt employees 3-weeks PTO for non-exempt employees 2-weeks paid Winter Break 10 Company Holidays (including Juneteenth and Wellbeing Day) Summer Fridays (between Memorial Day and Labor Day) Generous paid parental leave for every type of parent Check out our full overview of benefits on the Perks Playlist page of the career site. Disclaimer: This job description only provides an overview of job responsibilities that are subject to change. Universal Music Group is an Equal Opportunity Employer We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah. Please note, UMG is not enrolled in E-Verify in California and New York, and cannot support employment of candidates whose employer must enroll in E-Verify, for example candidates on STEM-OPT. For more information, please click on the following links. E-Verify Participation Poster: English / Spanish E-Verify Right to Work Poster: English | Spanish Job Category: Data, Analytics & Business Intelligence Salary Range: $84,780 - $160,000 The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.

Requirements

Must-haves

You enjoy working at the intersection of technology, data, and business strategy and are energized by solving complex platform problems and launching AI data products
This role will report to the Sr. Director of Product Management (Data Platform).
Define product strategy for foundational data capabilities, including curated datasets, semantic models, feature stores, APIs, and data services that enable downstream analytics and AI applications
Define, track, and report key data product metrics, including adoption, data quality, latency, completeness, and downstream usage.
Define and deliver reusable, scalable, well-documented data assets for analytics, BI, ML, and operational use cases.
Translate business requirements into technical product requirements, balancing usability, scalability, governance, and long-term platform vision.
Ensure data assets are structured to support experimentation, personalization, predictive analytics, and AI initiatives.
Support integrations with new data sources to enhance data completeness and enrichment
Remove impediments for engineering teams due to unclear requirements, misaligned priorities, or stakeholder ambiguity.
Leverage AI-assisted product management practices to accelerate discovery, documentation, prototyping, and delivery while maintaining strong governance and quality standards.
Demonstrated ability to earn credibility with highly technical engineering teams while effectively communicating complex concepts to executive and business stakeholders.
Strong understanding of modern data architecture, dimensional modeling, semantic layers, data contracts, APIs, and scalable data platform design.
Experience partnering closely with data engineering and analytics teams to deliver scalable data solutions.
Experience working with modern cloud data platforms, orchestration frameworks, data transformation tools, and metadata/governance platforms
Strong SQL skills with the ability to independently validate data, investigate issues, and collaborate effectively with engineers during solution design.
Experience in defining and measuring data quality and governance standards
Comfortable discussing architectural tradeoffs with engineers and understand how platform decisions impact scalability, performance, governance, and downstream AI use cases.
Strong stakeholder management and executive communication skills
Comfortable operating in ambiguity and driving alignment across diverse teams
Strong storyteller and systems thinker
Including 100% coverage for out-patient in-network mental health services
Fertility coverage for eligible medical plan participants

Nice-to-haves

Previous experience as a management consultant a plus
Knowledge of the music and label business a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlsql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave