AI-Ready Data Product Lead, Streaming & Insights

ROSTR, Inc.; New York (NY); On-site; USD 122,000 - 185,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vis

401(k) with immediate vesting

Paid time off & holidays

Wellbeing reimbursements

Tuition reimbursement

Job summary

Universal Music Group in New York is seeking a Sr. Data Product Manager for Streaming & Social to lead enterprise data products and data marts that serve as the authoritative source of truth for music consumption analytics.

You will ensure AI-ready data products, governance, and semantic consistency across platforms. You will partner with Global Insights, Commercial Strategy, Digital Business, Label Analytics, and Data Engineering to define trusted metrics, SLAs, and scalable dimensional models,

Qualifications

• 5+ years in product management for data/digital analytics roles.
• Experience delivering data products supporting AI, ML, or generative AI initiatives.
• Strong understanding of streaming, audience analytics, and music consumption trends.

Responsibilities

• Lead strategy and execution of enterprise data products and data marts as the source of truth for music consumption and streaming/social engagement.
• Define trusted metrics, SLAs, and semantic definitions with cross-functional partners.
• Partner with Engineering, Marketing, and Insights teams to ensure data products are governable, observable, and widely adopted.

Skills

Product management

AI & ML

Streaming analytics

Data governance

SQL

Stakeholder management

Dimensional modeling

Data warehousing

Data contracts

Strategic thinking

Tools

SQL tooling

Data modeling tools

Job description

Universal Music Group in New York is seeking a Sr. Data Product Manager for Streaming & Social to lead enterprise data products and data marts that serve as the authoritative source of truth for music consumption analytics.

You will ensure AI-ready data products, governance, and semantic consistency across platforms. You will partner with Global Insights, Commercial Strategy, Digital Business, Label Analytics, and Data Engineering to define trusted metrics, SLAs, and scalable dimensional models,