Product Manager – Corporations Strategy, Enterprise Data

Overview

As Product Manager for Bloomberg’s Enterprise Data in the corporations segment, you define the segment strategy and build data products for corporate treasuries, investor relations, and finance teams. You work closely with Sales, Marketing, and cross-functional teams to translate corporate workflows into scalable data solutions. You drive adoption and commercial outcomes while aligning product roadmaps with client needs and the broader data estate. This role offers impact by shaping data products that support treasury, funding, ESG, and regulatory reporting at scale.

Responsibilities

• Define segment strategy and product roadmap for corporations with the greatest commercial potential
• Develop deep understanding of corporate workflows (treasury, cash management, funding, FX hedging, benchmarking, investor relations, regulatory/ESG reporting)
• Map corporate data needs to Bloomberg’s data estate and define fitting solutions
• Partner with corporate clients to validate product direction and understand challenges
• Collaborate with Sales and Marketing to drive awareness, adoption and commercial outcomes
• Manage product specification, prioritization, and backlog through an agile process across Data, Engineering, and Client Solutions

Key requirements

• 5+ years in product management within financial data, analytics, banking, or corporate finance
• Understanding of corporate workflows across at least two areas (treasury, capital markets and funding, investor relations, corporate finance)
• Understanding of how corporates source and consume market and reference data
• Experience delivering product outcomes through agile processes 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

• communication with senior stakeholders
• cross-functional collaboration
• stakeholder management
• Python
• SQL
• cloud-based data delivery

…