Team Leader - Funds Reference Data - Enterprise Data Product

at Bloomberg

📍 New York City, United States

USD 235,000-350,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 Agentic AI Communication @ 6 Data Science @ 7 Experimentation FinTech @ 4 Leadership @ 8 Product Management @ 8

Details

Bloomberg’s Enterprise Data business is fast-paced, innovative, and expanding. The team partners closely with clients, understanding their unique businesses, data ecosystems, and financial technology (FinTech) ambitions.

Bloomberg’s Enterprise Data business continues to lead the market in delivering trusted, high-quality enterprise content for the financial services industry. The offering includes data and delivery via a fully managed, AI-ready platform.

Responsibilities

Lead innovation — inspire, mentor, and develop a team that leverages AI, analytics, and automation to re-imagine data products and workflows.
Drive growth in the Data business by defining a forward-looking product strategy, prioritizing high-impact initiatives, and executing with agility.
Define and execute the strategic roadmap for Data products, shaping the next generation of data solutions.
Lead a high-performing team of product managers, fostering a culture of innovation, experimentation, and continuous learning.
Champion AI-driven transformation, Agentic AI approaches.
Partner with clients in their AI and Cloud technology transformation.

Requirements

10+ years of experience in product management within financial data, analytics, or technology, including 5+ years in a leadership capacity.
Deep understanding of global Funds markets and the Funds data landscape.
Strong grasp of data science, MCP AI, and agentic automation concepts and how they transform financial data workflows.
Proven track record of defining and executing innovative product strategies that deliver measurable business results.
Excellent communication skills — able to articulate complex, technical concepts with clarity and influence across senior stakeholders.
Ability to travel globally as needed to engage with teams, clients and industry partners.

Benefits

Comprehensive and generous benefits plans 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.
The Company does not provide benefits directly to contingent workers/contractors and interns.