Team Lead, Equity Data License Content - Enterprise Data Product
Bloomberg
Product
New York, NY, USA
Posted on Oct 31, 2025
We are Bloomberg Enterprise Data — fast-paced, innovative, and expanding! We partner closely with our clients, taking time to understand their unique businesses, individual data, and financial technology (FinTech) needs. Our extensive selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling, enables our clients to get the exact data they need, when they need it, in the format they prefer. Put simply, our award-winning data helps power the capital markets.
Bloomberg’s Enterprise Data business continues to be a market leader when it comes to providing enterprise content for the financial services industry. Our offering includes best-in-class enterprise data and delivery via a fully managed platform. Our committed customer base values the quality of our content, completeness of coverage, data delivery, technology, tools, and high-touch client service model.
Equity Reference Data Team
Equity Reference Data Team
Our Equity Reference Data solutions are foundational to the success of Bloomberg’s Enterprise Content business. We have built a best-in-class data offering that meets client demand across global equity markets. Equity reference data underpins a wide range of workflows across investment, risk, regulatory, and ESG domains — driving analytics, automation, and decision-making across the buy and sell sides.
This business is a critical pillar of our growth strategy in Enterprise Data. Our ambition is to continue servicing the most complex data needs of our clients, enabling them to innovate and deliver value to their stakeholders. The team is responsible for identifying, designing, and delivering data solutions that leverage Bloomberg’s extensive equity datasets across Cash Equity and Listed Equity Derivatives covering security master, dividend forecasts and derived analytics.
Success in this role requires a deep understanding of global cash and derivatives equity markets, the data that drives them, and the challenges clients face in integrating and scaling these datasets for business advantage.
The Role
The Role
We are seeking a senior individual to join the Equity Reference Data team as Team Lead. This position has global oversight. You will be responsible for developing and executing the strategic roadmap for Equity Reference Data — setting direction, defining measurable goals, and leading a team of motivated product managers.
You’ll be expected to shape the evolution of our equity data capabilities — incorporating innovation in data delivery, AI, and analytics — while maintaining a strong connection to our clients’ evolving business and technology priorities.
We’ll Trust You To:
Display strong leadership skills by mentoring, and developing a team of high-performing product managers
Drive growth in the Equity Data business and display strong business and product management skills by defining data product strategy, prioritising, and executing through an agile process
Develop and apply business intelligence to measure product performance, identify opportunities, and guide data-driven decision-making
Demonstrate commercial acumen and deliver measurable business outcomes by collaborating closely with Core Product, Engineering, Sales, Marketing, and Service teams to align solutions with market needs and maximise client impact
Demonstrate deep domain expertise in global equity markets — including listed and OTC instruments, indices, and corporate actions
Understand how firms are integrating equity data across investment, risk, and research workflows to create differentiated insights
Identify and implement improvements to operational efficiency and workflow automation
Understand how clients leverage data science and quantitative methods to extract value from large, complex equity datasets
Build and maintain strong relationships with a core set of strategic clients, to evolve our offering
You’ll Need To Have:
10+ years of Product management experience in financial data, analytics, or technology with 5+ proven experience in a leadership role managing teams
Strong understanding of global equity markets — including market structure, corporate actions, and fundamental and reference data
Familiarity with the trade lifecycle and data flows across front-, middle-, and back-office functions
Awareness of evolving client challenges driven by regulatory, market structure, and data transformation trends
Demonstrated understanding of data science concepts and quantitative investment processes
Excellent communication skills — able to distill complex topics into clear, concise messages for senior audiences
We’d Love To See:
Experience with Python, R, or other programming languages commonly used in analytics or data science
Broad understanding of multi-asset data and cross-asset linkages
Exposure to ESG data and its integration into equity analytics and workflows