Product Management Lead- AI Ready Data

AI in this role

ai-agents

The Bloomberg Enterprise Data business is experiencing explosive growth and Artificial Intelligence is a significant driver. We are expanding our technology platform, Data License Plus (DL+), 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 hire, guide, and mentor a team of product managers defining the vision for our enterprise AI Data Platform. In this role, you will lead the strategy for integrating Bloomberg’s financial data and metadata directly into client AI and agentic workflows. You will standardize real-time data delivery using open protocols like the Model Context Protocol (MCP) and modern orchestration frameworks, enabling autonomous agents to seamlessly access dynamic context. Partnering closely with Engineering, ML Platform, and Governance teams, your group will bridge Bloomberg's data assets with client environments to build secure, high-throughput, AI-ready products. Ultimately, you will combine deep technical fluency with sharp business judgement to drive platform growth and help clients build next-generation artificial intelligence solutions.

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.
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How we rate this

Product Management Lead- AI Ready Data at Bloomberg rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Agents

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI Agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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