Senior Data Product Manager – Streaming, Social

Universal Music Group, Inc.

. Lead strategy and execution of enterprise data products and domain-specific data marts for music consumption and streaming/social engagement .

Posted 11/5/2026full-timeUnited StatesSenior💰 $121,500 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for digital music and streaming, with a strong focus on data governance, AI readiness, and stakeholder engagement. Proficient in managing data products throughout their lifecycle, ensuring quality and operational reliability.

Highest-signal resume keywords

Product Management ExperienceData Governance StandardsAI-Ready Data ProductsSQL ProficiencyStakeholder Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Product Lifecycle ManagementDimensional ModelingData Warehousing ConceptsPredictive AnalyticsMachine LearningData Quality FrameworksSemantic LayersAudience MeasurementMusic Consumption TrendsOperational Support Processes

Soft Skills

Exceptional CommunicationInfluence SkillsCustomer-Centric MindsetSystems Thinking

Tools & Technologies

SpotifyApple MusicYouTubeAmazon MusicTikTokMetaLuminateChartmetricSoundCloudPandora

Industry Keywords

Digital Music EcosystemStreaming PlatformsAudience EngagementCommercial Music PerformanceData Contracts

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Lead strategy and execution of enterprise data products and domain-specific data marts for music consumption and streaming/social engagement
Ensure streaming and social data products are AI-ready, governed, semantically consistent, observable, documented, and trusted
Define and standardize business metrics, KPIs, and consumption definitions
Manage the lifecycle of external consumption data sources and licensed datasets
Define scalable dimensional models and semantic layers for streaming activity, audience engagement, artists, releases, tracks, playlists, social engagement, territories, and commercial performance
Establish authoritative sources of truth for music consumption performance across labels, artists, releases, and markets
Partner with Commercial Strategy, Global Insights, Label Analytics, Marketing, Finance, Digital Business, Data Engineering, and Governance teams
Implement SLAs, monitoring, observability, incident management, and operational support processes with engineering teams
Establish and maintain data contracts with internal and external data providers
Drive product adoption through documentation, semantic models, stakeholder enablement, and training
Evaluate AI opportunities in music consumption, audience behavior, and content performance while maintaining governance and data quality
Report to the Sr. Director of Product Management (Data Platform)

Requirements

What you’ll need

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 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 enterprise AI data foundations, including dimensional modeling, data warehousing concepts, 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
Strong SQL proficiency preferred, with 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

Benefits

Comp & perks

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/year)
Student Loan Repayment Assistance and Tuition Reimbursement
401(k) with 100% immediate vesting on the first 5% of 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