Product Management Lead- AI Ready Data

Bloomberg L.P.; New York (NY); On-site; USD 180,000 - 350,000; Full time

Benefits offered by this job

Comprehensive benefits plan

401(k) + match

Paid holidays and time off

Wellness programs

Job summary

Bloomberg L.P. is looking for a Product Management Lead for their AI Ready Data team in New York. You will manage a team of Technical Product Managers, define the strategy for integrating financial data into AI workflows, and own the client experience.

Ideal candidates have over 7 years in product management, including leadership experience, and a deep understanding of AI and financial applications. A strong focus on collaboration and communication with various stakeholders will be essential for success in this role.

Qualifications

• 7+ years of product management experience, including 3+ years in a leadership role.
• Proven experience in complex, cross-functional environments.
• Experience with developer teams and building data-intensive applications.

Responsibilities

• Develop a long-term technical strategy and roadmap for AI solutions.
• Lead and develop a team of product managers.
• Build next-gen financial data products for AI solutions.

Skills

Product management experience

Leadership of teams

Developing AI applications

Cross-functional collaboration

Education

Bachelor’s degree or equivalent practical experience

Job description

Product Management Lead- AI Ready Data

Location: New York

Business Area: Product

Ref #: 10052398

Description & Requirements

The Bloomberg Enterprise Data business is experiencing significant growth. Within this organization, Data License Plus enables the distribution of an unparalleled breadth and depth of enterprise content to the world's leading market participants. We are expanding this platform to support AI‑driven and agentic client workflows, helping customers build the next generation of data‑powered solutions.

What’s in it for you

We are looking for a Product Management Lead to build a team of Technical Product Managers who will define and execute on the vision for integrating our broad range of high quality financial data into client agentic workflows. In this role, you will be accountable for managing a group of product managers driving product strategy, technical planning, prioritization, and delivery oversight. You will own the end‑to‑end client experience and co‑own the roadmap for our Data Solutions for Agentic AI. You will design and deliver new features, integrations, and capabilities that make it easier for clients to build AI‑driven solutions using Bloomberg data and to drive the growth of our business. You’ll work closely with Product, Engineering, and other partners in a highly cross‑functional, high‑impact environment, balancing deep technical understanding with strong business judgement.

We’ll trust you to

• Develop a long‑term technical strategy, roadmap, framework, design patterns, for delivering data to generative AI systems
• Lead and develop a team of product managers, raising the bar on product thinking, execution, and accountability.
• Build the next generation of financial data products for agentic AI solutions
• Partner closely with product and engineering teams to deliver the defined business outcomes
• Interact with customers to understand their workflows and technical requirements, and develop a deep understanding of an ideal solution
• Prioritize, plan, make decisions, ask the right questions, and understand how to plan for and manage resources effectively
• Take the initiative, be proactive, innovate, advocate, understand the priorities for the business, and do what’s best for Bloomberg
• Evaluate and respond to the rapid pace of innovation in the industry
• Communicate strategy, progress, and risks effectively to senior leadership.

You’ll need to have

• 7+ years of product management experience, including 3+ years of leadership of teams
• Proven experience operating within complex, cross‑functional environments involving Product, Engineering, and Data organizations.
• Experience working with developer teams and building AI or other data‑intensive applications
• A product‑driven focus and track record of shaping business strategy and roadmaps for technical products
• Experience working with customers to identify and understand use cases and problems we should be solving
• Bachelor’s degree or equivalent practical experience

We’d love to see

• Strong technical experience with emerging GenAI standards and protocols such as MCP or A2A
• Working knowledge of capital markets data, market structure, or buy‑side/sell‑side workflows

Salary Range = 180,000 - 350,000 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.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [e-mail]