Description & Requirements

Corporations are a strategic growth segment for Enterprise Data. Corporate treasury, capital markets, investor relations, and finance teams increasingly rely on high-quality market and reference data to manage funding, hedging, benchmarking, and reporting.

We are seeking a Product Manager to grow Bloomberg's Enterprise Data business within the corporations segment. Unlike asset-class roles, this position is defined by its target client: you will develop deep understanding of corporate workflows and build data products that serve corporate treasurers, capital markets and investor relations teams, and finance functions.

We'll Trust You To
• Define the segment strategy and product roadmap for corporations, identifying the data products and use cases with the greatest commercial potential.
• Develop deep understanding of corporate workflows - treasury and cash management, funding and debt issuance, FX and rates hedging, peer and credit benchmarking, investor relations, and regulatory and ESG reporting.
• Map corporate data needs to Bloomberg's data estate across pricing, reference, credit, and ESG, and define solutions that fit corporate delivery and consumption models.
• Partner with corporate clients to understand their challenges and validate product direction.
• Work with Sales and Marketing to build segment awareness, drive adoption, and attain commercial outcomes.
• Manage product specification, prioritisation, and backlog through an agile process across Data, Engineering, and Client Solutions.

You'll Need to Have
• 5+* years in product management, or equivalent, within financial data, analytics, banking, or corporate finance.
• Understanding of corporate workflows across at least two of: treasury, capital markets and funding, investor relations, and corporate finance.
• Understanding of how corporates source, evaluate, and consume market and reference data.
• Experience delivering product outcomes through an agile process with cross-functional stakeholders.
• Working knowledge of AI, automation, and agentic approaches applied to data products.
• Excellent communication skills with senior stakeholders.
• Ability to travel as needed.

We'd Love to See
• Experience in corporate treasury, banking coverage of corporates, investor relations or advisory, or selling data into corporate clients.
• Proficiency with Python, SQL, or other data science tools.
• Understanding of corporate credit, funding markets, or regulatory reporting requirements.
• Experience with cloud-based data delivery or modern enterprise data platforms.

Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.