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About the Role
We are seeking an experienced and driven Sr. Data Product Manager – Streaming & Social to ensure UMG's streaming and social data products are AI-ready by design. This role focuses on treating data as a product, building trusted, scalable data foundations that enable data-driven decision-making and AI applications across UMG.
Responsibilities
- Champion AI-ready data products by embedding trusted business definitions, semantic consistency, metadata, lineage, observability, documentation, and governance.
- Ensure data products support emerging AI capabilities through high-quality, well-governed enterprise data.
- Partner with various teams to define trusted business metrics, KPIs, and standardized consumption definitions.
- Manage the lifecycle of external consumption data sources, ensuring consistent ingestion, governance, documentation, monitoring, and integration.
- Define scalable dimensional models and semantic layers supporting streaming activity, audience engagement, artists, releases, tracks, playlists, social engagement, territories, and commercial performance.
- Establish authoritative data products that serve as the source of truth for music consumption performance.
- Standardize business definitions for key metrics.
- Partner with engineering teams to implement SLAs, monitoring, observability, incident management, and operational support processes.
- Establish and maintain data contracts with internal and external consumption data providers.
- Drive adoption of consumption data products through business-friendly documentation, semantic models, stakeholder enablement, and training.
- Evaluate opportunities to improve business outcomes by applying AI to music consumption, audience behavior, and content performance.
Requirements
- 5+ years of product management experience supporting digital music, streaming, audience analytics, media, entertainment, or digital content organizations.
- Experience delivering data products that support AI, machine learning, predictive analytics, or generative AI initiatives.
- Strong understanding of the digital music ecosystem, including streaming platforms, social media platforms, audience measurement, and music consumption trends.
- Experience working with music consumption datasets, including streaming activity, artist performance, release performance, audience engagement, playlists, social signals, and chart data.
- Familiarity with industry data providers and platforms such as Spotify, Apple Music, YouTube, Amazon Music, TikTok, Meta, Luminate, Chartmetric, SoundCloud, Pandora, or similar consumption and audience analytics platforms.
- Understanding of artist lifecycle analytics, audience development, catalog performance, playlisting, fan engagement, and commercial music performance measurement.
- Demonstrated experience owning data products throughout their lifecycle, from strategy and requirements through adoption and operational support.
- Demonstrated ability to leverage modern AI tools to accelerate product discovery, documentation, analysis, and collaboration.
- Strong understanding of the data foundations required for enterprise AI, including dimensional modeling, data warehousing concepts, data marts, semantic layers, and modern analytics architectures.
- Experience in defining and managing data quality frameworks, governance standards, and operational reliability practices.
- Experience in establishing and managing data contracts and cross-functional data ownership models.
- Strong SQL proficiency preferred, with the ability to independently validate requirements and investigate data issues.
- Proven ability to translate complex technical concepts into clear business outcomes and stakeholder value.
- Exceptional stakeholder management, communication, and influence skills.
- Strong systems thinker with a customer-centric product mindset.
Skills
- Product Management
- Data Products
- AI
- Machine Learning
- Predictive Analytics
- Generative AI
- Digital Music Ecosystem
- Streaming Platforms
- Social Media Platforms
- Audience Measurement
- Music Consumption Trends
- Streaming Activity
- Artist Performance
- Release Performance
- Audience Engagement
- Playlists
- Social Signals
- Chart Data
- Artist Lifecycle Analytics
- Audience Development
- Catalog Performance
- Platlisting
- Fan Engagement
- Commercial Music Performance Measurement
- Dimensional Modeling
- Data Warehousing
- Data Marts
- Semantic Layers
- Analytics Architectures
- Data Quality Frameworks
- Data Governance
- Data Contracts
- SQL
Location
- Remote
Work Type
- Full-time
Experience Level
- Sr. Data Product Manager
- 5+ years of product management experience
Salary/Compensations
- $121,500 - $185,000
Benefits
- Comprehensive medical, dental, and vision coverage
- 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
About the Company
- 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.
Equal Opportunity
- 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.