The company has worked in music since the first record label and the flat disc record, and has backed many iconic artists and influential recordings.
It now operates in more than 70 countries, serving global stars, developing and independent artists, and creators, and works at the crossover of music, entertainment and technology.
The company is part of a larger global group of companies.
The team is hiring a Senior Product Manager, Data, based in the London office, to build a portfolio of shared data products.
Data from streaming, fan engagement, social and creator activity, and commerce feeds the teams. As new datasets appear, someone needs to establish what they contain, what they mean, and how to make them useful beyond the product that produced them.
In this role you own the strategy, roadmap and delivery of these shared data products. You will turn business needs into requirements with stakeholders, source product owners and data engineers, and deliver reliable datasets with definitions and relationships that other products can reuse.
Responsibilities
Set the strategy and roadmap for the shared data product portfolio, with a focus on new datasets for emerging needs. Spot valuable opportunities across teams and rank initiatives that serve artist teams and the wider business.
Shape business requests into defined data initiatives. Meet the people who produce and use the data, examine source datasets, and set the questions to answer, the information required and how success will be measured.
With engineers, define reusable datasets covering records, fields, relationships, quality, freshness and access. Set acceptance criteria and settle tradeoffs with stakeholders and engineers.
Own delivery and adoption. Keep a prioritised backlog and guide engineering through build, validation, launch and improvement, making sure receiving teams can use the data for the agreed need.
Maintain shared definitions, identifiers, relationships and metrics with domain experts and engineers. Build the shared semantic layer so concepts such as artists, tracks, markets, campaigns and audiences mean the same thing across products.
Identify where combining datasets creates value and lead that product work, such as linking streaming performance with social activity, campaigns, fan engagement and commerce.
Make sure data products are documented, with usage examples and known limitations, so analysts, data scientists and downstream teams can rely on them.
Help set practical data standards for quality, ownership, access, lineage and appropriate use with leadership, engineering and specialists, and turn them into requirements for your products.
Agree with source product owners and engineering teams how source changes, maintenance, quality issues and user communication will be handled after launch.
Track adoption and impact through user feedback and evidence, check outcomes against intent, and feed findings into the roadmap.
Explain priorities and investment decisions, report progress, and translate technical considerations into business implications.
Coordinate priorities and dependencies with the existing Data Platform product and engineering teams, including the platform migration and operational roadmap, and with source product managers and teams building on your products.
Requirements
Proven record of leading data products or platform capabilities from discovery and strategy through delivery, adoption and ongoing improvement.
Able to set clear direction and prioritise pragmatically, weighing business value, user needs, technical constraints and cross-team dependencies.
Comfortable examining source data and working through detailed requirements with business experts, analysts and engineers.
Experience turning fragmented data and business needs into reusable datasets, shared capabilities or data products that serve several use cases.
Solid understanding of modern data platforms such as Snowflake or comparable cloud data warehouses, and able to work with engineers on ingestion, modelling, pipelines and downstream use.
Understands semantic layers and shared data definitions, and can work with business and technical partners to keep meaning consistent across products and domains.
Sound product judgement on data quality, freshness, ownership, access and lineage, with an understanding of privacy and appropriate data use.
Works well across product boundaries, clarifies responsibilities and influences teams whose roadmaps and priorities may differ.
Strong analytical and organisational skills, with the ability to turn complex problems into clear requirements, priorities and delivery plans.
Communicates well with technical teams, business stakeholders and executives, aligning them around the work and the outcomes it should deliver.
Writes strong documentation that helps dependent teams understand data products, definitions and decisions.
Focuses on whether people can use and trust what is delivered, with experience measuring adoption, usefulness and business impact.
Bonus: Experience in the music or entertainment industry, particularly with streaming, consumption or artist audience data.
Bonus: Experience with fan engagement, social and creator analytics, marketing campaigns, D2C commerce or customer data platforms.
Bonus: Experience connecting data across platforms through shared identifiers, entity relationships or audience segmentation.
Bonus: Experience building data capabilities that support analytics, marketing intelligence or AI-powered products.
Bonus: Experience with data catalogs, observability tools or business intelligence platforms such as Sigma.
Bonus: Experience managing global or enterprise-scale data products, platform migrations or change management.
Conditions
Based in the London office.
The company is an equal opportunity employer and makes employment and promotion decisions on merit, regardless of sex, race, religion, origin, age, sexual orientation, marital status, medical condition or disability.
Benefits
Private medical cover.
Generous pension scheme.
Life assurance and income protection.
Music industry perks.
Time off over the winter break.
Investment in professional growth and development.
A modern office environment.
Opportunities to contribute to social impact and diversity, equity and inclusion initiatives.