Senior Product Manager
About The Position
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 business intelligence across UMG. 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. The Sr. Product Manager – Data Products will partner closely with engineering, analytics, machine learning, governance, and business stakeholders. This role will report to the Sr. Director of Product Management (Data Platform). How you’ll CREATE: Own and execute the roadmap for data assets and curated data products, aligned with marketing and ecommerce stakeholders and AI enablement priorities 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, and analytics teams to define data models, transformation logic, and data quality standards. Translate business requirements into technical specifications for data ingestion, transformation, and semantic layers. 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. Bring your VIBE: 5+ years of product management experience, with significant experience in data products, data platforms, or analytics ecosystems. Strong understanding of data modeling concepts (e.g., data marts, semantic layers) Experience partnering closely with data engineering and analytics teams to deliver scalable data solutions. Familiarity with modern data stack technologies (e.g., cloud data warehouses, orchestration tools) and marketing automation platforms (CRMs, CDPs) Strong SQL proficiency preferred; ability to explore and validate data independently Experience in defining and measuring data quality and governance standards Ability to translate complex data architecture concepts into clear business outcomes 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. For more information, please click on the following links. E-Verify Participation Poster: English / Spanish E-Verify Right to Work Poster: English | Spanish
Requirements
- 5+ years of product management experience, with significant experience in data products, data platforms, or analytics ecosystems.
- Strong understanding of data modeling concepts (e.g., data marts, semantic layers)
- Experience partnering closely with data engineering and analytics teams to deliver scalable data solutions.
- Familiarity with modern data stack technologies (e.g., cloud data warehouses, orchestration tools) and marketing automation platforms (CRMs, CDPs)
- Experience in defining and measuring data quality and governance standards
- Ability to translate complex data architecture concepts into clear business outcomes
- Strong stakeholder management and executive communication skills
- Comfortable operating in ambiguity and driving alignment across diverse teams
- Strong storyteller and systems thinker
Nice To Haves
- Strong SQL proficiency preferred; ability to explore and validate data independently
- Previous experience as a management consultant a plus
- Knowledge of the music and label business a plus
Responsibilities
- Own and execute the roadmap for data assets and curated data products, aligned with marketing and ecommerce stakeholders and AI enablement priorities
- 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, and analytics teams to define data models, transformation logic, and data quality standards.
- Translate business requirements into technical specifications for data ingestion, transformation, and semantic layers.
- 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.
Benefits
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
