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Senior Product Manager, Data Platform - PDEGO

sonymusicentertainment LondonEst. Est. GBP 75,000–110,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Snowflake
About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. Sony Music is looking for a Senior Product Manager, Data to join our talented product team in our London office and lead the development of a portfolio of shared data products. Our products and teams work with data spanning streaming, fan engagement, social and creator activity, and commerce. As new datasets and requirements emerge, we need to understand what the data contains, establish what it means and make it useful beyond the team or product where it originated. You will own the strategy, roadmap and delivery of a portfolio of shared data products. Working with business stakeholders, source-product owners and data engineering, you will turn business needs into clear requirements, deliver dependable datasets and establish definitions and relationships that can be reused across products. What you’ll do: Own the strategy and roadmap for a portfolio of shared data products, with a focus on developing new datasets to meet emerging business needs. Understand needs across teams, identify valuable opportunities and prioritise a portfolio of initiatives that supports artist teams and the wider business. Turn business requests into well-defined data initiatives. Meet the people who produce and use the data, examine source datasets and establish the questions users need to answer, the information required and the measures of success. Define reusable datasets with engineering. Agree on the records, fields, relationships, quality, freshness and access requirements needed for each use case you’re defining. Establish clear acceptance criteria and resolve tradeoffs with stakeholders and engineers. Lead delivery and adoption. Maintain a prioritised backlog and work with engineering through implementation, validation, launch and ongoing improvement. Ensure the teams receiving the data can use it to meet the agreed need. Steward shared definitions and data models. Work with domain experts and engineers to establish consistent definitions, identifiers, relationships and metrics. Develop the shared semantic layer through the initiatives you deliver, so concepts such as artists, tracks, markets, campaigns and audiences can be understood consistently across products. Connect datasets to enable new capabilities. Identify where combining data creates value and lead the product work required, including opportunities to relate streaming performance to social activity, campaigns, fan engagement and commerce. Make data discoverable and understandable. Ensure data products have clear documentation, usage examples and known limitations, helping analysts, data scientists and downstream product teams use them confidently. Help develop and apply practical data standards. Partner with leadership, engineering and relevant specialists on quality, ownership, access, lineage and appropriate use. Translate these expectations into requirements for the data products you lead. Agree responsibilities for ongoing use of the data products you deliver. Work with source-product ow

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