Product Manager Third Party Data | Enterprise Data

We are Bloomberg Enterprise Data - fast paced innovative and growing. We partner closely with our clients to understand their businesses data requirements and financial technology needs. Our broad range of datasets delivery channels APIs and cloud-enabled solutions enables clients to access the data they need when they need it and in the format that best supports their workflows.

Third-party data is a growth lever for Enterprise Data. Selectively sourcing and integrating external datasets enriches Bloombergs data products closes coverage and quality gaps and creates new client value. This role sits at the intersection of content strategy data sourcing and commercial partnerships.

We are seeking a Product Manager to grow Bloombergs Enterprise Data business through third-party data. You will identify priority datasets from external providers evaluate their fit and commercial case and lead their integration into Bloomberg data products to drive growth.

Well Trust You To

Identify and prioritise third-party datasets that enrich Bloombergs data products and address client evolving needs.

Build the business case for each dataset client demand commercial model build-versus-buy and integration cost.

Evaluate providers on coverage quality licensing terms and delivery and lead commercial and partnership discussions alongside relevant teams.

Define how third-party data is linked normalised and integrated with Bloombergs data estate.

Partner with clients to validate demand and shape requirements.

Work with Sales and Marketing to drive adoption and attain commercial outcomes.

Manage specification prioritisation and backlog through an agile process across Data Engineering Legal and Client Solutions.

Youll Need to Have

5 years in product management or market experience within financial data analytics or investment technology.

Experience delivering product outcomes through an agile process with cross-functional stakeholders.

Excellent communication and negotiation skills.

Understanding of how enterprise clients identify and evaluate datasets.

Commercial judgement on dataset prioritisation build-versus-buy and content economics.

Familiarity with data licensing entitlements and partnership structures.

Working knowledge of AI automation and agentic approaches applied to data products.

Ability to travel as needed.

Wed Love to See

Experience in data acquisition vendor management or partnerships with data providers.

Knowledge of the alternative data landscape and provider ecosystem.

Proficiency with Python SQL or other data science tools.

Experience with cloud-based data delivery data marketplaces or modern enterprise data platforms