Product Manager - Corporations Strategy, Enterprise Data

USD 140,000-295,000 per year
MIDDLE
✅ On-site

Tech Stack

AI @ 3 API Agile @ 3 Communication @ 3 Data Science @ 5 Marketing Product Management @ 5 Python @ 5 Reporting @ 6 SQL @ 5

Details

Bloomberg Enterprise Data is seeking a Product Manager to grow its business within the corporations segment. The role focuses on understanding corporate workflows and building data products for corporate treasurers, capital markets and investor relations teams, and finance functions. Bloomberg Enterprise Data provides datasets, delivery channels, APIs, and cloud-enabled solutions across pricing, reference, credit, and ESG data.

Responsibilities

  • Define the segment strategy and product roadmap for corporations, identifying data products and use cases with the greatest commercial potential.
  • Develop a deep understanding of corporate workflows, including 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 specifications, prioritization, and backlog through an agile process across Data, Engineering, and Client Solutions.

Requirements

  • 5+ years of experience in product management, or equivalent experience, 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 corporations 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.

Preferred Qualifications

  • Experience in corporate treasury, banking coverage of corporations, 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.

Benefits

Salary range: $140,000–$295,000 USD annually, plus benefits and bonus. Actual compensation may vary based on geographic location, work experience, market conditions, education or training, and skill level.

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental and vision coverage, short- and long-term disability benefits, a 401(k) match, life insurance, and wellness programs. Benefits are not provided directly to contingent workers, contractors, or interns.

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