Senior Data Product Manager - Streaming and Social
About The Position
UMG is seeking an experienced Senior Data Product Manager for the Global Data & Analytics Products team, focused on streaming and social data. The role leads strategy and execution for enterprise data products and domain-specific data marts that are authoritative sources of music consumption and streaming/social engagement data across UMG. These products support reporting, analytics, predictive modeling, AI applications, audience insights, artist development, repertoire strategy, marketing effectiveness, forecasting, and executive decision-making. The position focuses on building AI-ready data products that are governed, semantically consistent, observable, documented, reliable, discoverable, and trusted. The manager will establish clear roadmaps, service levels, definitions, quality standards, operational support, and measurable business outcomes, working closely with Global Insights, Commercial Strategy, Digital Business, Marketing, Label Analytics, Data Engineering, Finance, and Governance teams. The role reports to the Sr. Director of Product Management (Data Platform).
Requirements
- At least 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 and social media platforms, audience measurement, and music consumption trends.
- Experience with music consumption datasets, including streaming activity, artist and release performance, audience engagement, playlists, social signals, and chart data.
- 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 use modern AI tools to accelerate product discovery, documentation, analysis, and collaboration.
- Strong understanding of enterprise AI data foundations, including dimensional modeling, data warehousing, data marts, semantic layers, and modern analytics architectures.
- Experience defining and managing data quality frameworks, governance standards, and operational reliability practices.
- Experience establishing and managing data contracts and cross-functional data ownership models.
- Ability to translate complex technical concepts into clear business outcomes and stakeholder value.
- Exceptional stakeholder management, communication, and influence skills.
- Strong systems thinking and a customer-centric product mindset.
Nice To Haves
- Familiarity with industry data providers and platforms such as Spotify, Apple Music, YouTube, Amazon Music, TikTok, Meta, Luminate, Chartmetric, SoundCloud, and Pandora, or similar consumption and audience analytics platforms.
- Strong SQL proficiency to independently validate requirements and investigate data issues is preferred.
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, including semantic retrieval, recommendation systems, intelligent agents, and LLM-powered experiences.
- Partner with business and analytics teams to define trusted business metrics, KPIs, and standardized consumption definitions.
- Manage the lifecycle of external consumption data sources, ensuring licensed datasets are ingested, governed, documented, monitored, and integrated into enterprise data products.
- Define scalable dimensional models and semantic layers for streaming activity, audience engagement, artists, releases, tracks, playlists, social engagement, territories, and commercial performance.
- Establish authoritative data products for music consumption performance across labels, artists, releases, and markets.
- Standardize definitions for metrics such as streams, listeners, followers, saves, playlist reach, engagement, audience growth, chart performance, market share, and consumption trends.
- 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 through business-friendly documentation, semantic models, stakeholder enablement, and training.
- Evaluate opportunities to apply AI to music consumption, audience behavior, and content performance while maintaining strong governance and data quality.
- Own data products throughout their lifecycle, from strategy and requirements through adoption and operational support.
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 more, up to $720 per year.
- Student Loan Repayment Assistance and Tuition Reimbursement.
- 401(k) with 100% immediate vesting on the first 5% of employee contributions, plus an additional UMG contribution.
- Flexible Paid Time Off for exempt employees.
- Three weeks of PTO for non-exempt employees.
- Two weeks of paid Winter Break.
- Ten 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
