Senior Data Product Manager - Streaming and Social

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 seek an experienced and driven Sr. Data Product Manager – Streaming & Social within the Global Data & Analytics Products team. In this role you will ensure UMG's streaming and social data products are AI‑ready by design—governed, semantically consistent, observable and trusted—enabling analytics, predictive models, intelligent agents and generative AI applications to reliably consume music consumption data at enterprise scale.

You will embrace AI as part of your own product management practice, using modern AI tools to accelerate discovery, documentation, prototyping and collaboration while maintaining a relentless focus on delivering measurable business outcomes.

• Champion AI‑ready data products by ensuring trusted business definitions, semantic consistency, metadata, lineage, observability, documentation and governance are embedded into every streaming and social data product.
• Define and champion product roadmaps, service levels, semantic definitions, documentation, quality standards and measurable business outcomes for consumption & social data products.
• Partner with Commercial Strategy, Global Insights, Label Analytics, Marketing, Finance and Digital Business teams to define trusted business metrics, KPIs and standardized consumption definitions.
• Manage the lifecycle of external consumption data sources, ensuring licensed datasets are consistently ingested, governed, documented, monitored and integrated into trusted enterprise data products.
• 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 across labels, artists, releases and markets.
• Standardize business definitions for metrics, including 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 to improve reliability and predictability.
• 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 while maintaining strong governance and data quality standards.

• 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, You Tube, Amazon Music, Tik Tok, Meta, Luminate, Chartmetric, Sound Cloud, Pandora or similar consumption and audience analytics platforms.
• Understanding of artist lifecycle analytics, audience development, catalog performance, play listing, 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…