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Sony Music Entertainment

Global music label managing artists' royalties

Senior Product Manager, Data - Data Platform

Technical Product ManagementUpdated on Nov 10
Full-timeUnited KingdomNo salary listed

About the Job

Requirements

  • A track record of leading data products or platform capabilities from discovery and strategy through delivery, adoption and ongoing improvement.
  • Ability to set a clear product direction and prioritize pragmatically, balancing business value, user needs, technical constraints and dependencies across teams.
  • Comfort examining source data and working through detailed requirements with business experts, analysts and engineers.
  • Experience turning fragmented data and business requirements into reusable datasets, shared capabilities or data products that support multiple use cases.
  • Strong understanding of modern data platforms, including Snowflake or comparable cloud data warehouses, and ability to work effectively with engineers on data ingestion, modelling, pipelines and downstream consumption.
  • Understanding of semantic layers and shared data definitions, and ability to establish consistent meaning across products and domains with business and technical partners.
  • Ability to make informed product decisions about data quality, freshness, ownership, access and lineage, with an understanding of privacy and appropriate data use.
  • Comfort working across product boundaries, clarifying responsibilities and influencing teams with differing roadmaps and priorities.
  • Strong analytical and organizational skills, with ability to translate complex problems into clear requirements, priorities and delivery plans.
  • Ability to communicate effectively with technical teams, business stakeholders and executives, creating alignment around the work and its intended outcomes.
  • Strong documentation skills and ability to make data products, definitions and decisions understandable to dependent teams.
  • Focus on whether people can use and rely on delivered capabilities, with experience measuring adoption, usefulness and business impact.

Responsibilities

  • Own the strategy and roadmap for a portfolio of shared data products, developing new datasets to meet emerging business needs; understand needs across teams, identify valuable opportunities and prioritize initiatives supporting artist teams and the wider business.
  • Turn business requests into well-defined data initiatives by meeting data producers and users, examining source datasets, and establishing user questions, required information and success measures.
  • Define reusable datasets with engineering by agreeing on records, fields, relationships, quality, freshness and access requirements; establish acceptance criteria and resolve tradeoffs with stakeholders and engineers.
  • Lead delivery and adoption by maintaining a prioritized backlog and working with engineering through implementation, validation, launch and ongoing improvement; ensure recipient teams can use the data to meet the agreed need.
  • Steward shared definitions and data models by working with domain experts and engineers to establish consistent definitions, identifiers, relationships and metrics, and develop a shared semantic layer across products.
  • Identify where combining data creates value and lead product work to connect datasets, including relating streaming performance to social activity, campaigns, fan engagement and commerce.
  • Make data discoverable and understandable by ensuring data products have clear documentation, usage examples and known limitations for analysts, data scientists and downstream product teams.
  • Partner with leadership, engineering and specialists on practical standards for quality, ownership, access, lineage and appropriate use, and translate these expectations into data-product requirements.
  • Agree with source-product owners and engineering teams how source changes, maintenance, quality issues and user communications will be handled for delivered data products.
  • Measure adoption and impact by gathering user feedback and evidence of usefulness, tracking outcomes and using findings to inform the roadmap.
  • Build stakeholder alignment by explaining priorities and investment decisions, communicating progress and translating technical considerations into clear business implications.
  • Coordinate priorities and dependencies with existing Data Platform product and engineering teams, including the platform migration and operational roadmap; partner with source-product PMs and teams building on shared data products.

Desired Qualifications

  • Experience working in the music or entertainment industry, particularly with streaming, consumption or artist audience data.
  • Experience with fan engagement, social and creator analytics, marketing campaigns, direct-to-consumer commerce or customer data platforms.
  • Experience connecting data across platforms through shared identifiers, entity relationships or audience segmentation.
  • Experience building data capabilities that support analytics, marketing intelligence or artificial-intelligence-powered products.
  • Experience with data catalogs, observability tools or business intelligence platforms such as Sigma.
  • Experience managing global or enterprise-scale data products, platform migrations or change management.

About the Company

Sony Music Entertainment

Global music label managing artists' royalties

Sony Music Entertainment discovers, nurtures, and promotes musical talent while managing music rights and royalties, earning revenue from music sales, streaming, licensing, and live performances. Its offerings include distributing music across formats and licensing deals, with the Artist Portal providing artists with transparent royalty analytics to view earnings. The company differentiates itself through a diversified, multi‑stream revenue model combined with direct artist support and clear financial transparency. Its goal is to be a leading global partner for artists, helping grow talent and ensure fair compensation and broad audience reach.

Company size
10,001+
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$700M
Headquarters
New York City, New York
Founded
1929

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