Team Leader - Funds Reference Data, - Enterprise Data Product
Team Leader - Funds Reference Data, - Enterprise Data Product
Location
London
Business Area
Product
Ref #
10052362
Description & Requirements
We are Bloomberg Enterprise Data — fast-paced, innovative, and expanding! We partner closely with our clients, understanding their unique businesses, data ecosystems, and financial technology (FinTech) ambitions. Our extensive selection of datasets — spanning all asset classes, with flexible delivery technologies and scheduling — enables our clients to power analytics, automation, and innovation at scale. Bloomberg's Enterprise Data business continues to lead the market in delivering trusted, high-quality enterprise content for the financial services industry. Our offering includes best-in-class data and delivery via a fully managed, AI-ready platform. Our clients value the quality, completeness, and intelligence of our content, as well as our commitment to innovation and partnership. Funds Data Team — Powering AI-Enabled InsightsOur Funds Data Product Team is foundational to Bloomberg's Enterprise Content business. We deliver best-in-class data offering that powers analytics, automation, and decision-making across global markets. Our datasets — spanning cash equities and listed equity derivatives — underpin a wide range of investment, risk, regulatory, and ESG workflows. This business is a critical pillar of our growth strategy in Enterprise Data. As we enter the next wave of AI-driven transformation, our mission is to help clients leverage AI-enabled analytics and agentic data automation to unlock deeper insights, accelerate time-to-decision, and drive alpha. We design and deliver data solutions that combine Bloomberg's extensive equity datasets, listed derivatives, and advanced analytics — empowering clientsThe Role — Lead the Future of Funds Data InnovationWe are seeking a visionary Team Leader to drive the evolution of Bloomberg's Funds Data business globally. This is a leadership position at the intersection of finance, data science, and AI innovation. You will be responsible for defining and executing the strategic roadmap for our Data products — shaping the next generation of data solutions . You'll lead a high-performing team of product managers, fostering a culture of innovation, experimentation, and continuous learning. In this role, you will champion AI-driven transformation, Agentic AI approaches and be a partner to Clients in their AI and Cloud technology transformation. We'll Trust You To:
- Lead innovation — inspire, mentor, and develop a team that leverages AI, analytics, and automation to re-imagine data products and workflowsDrive growth in the Data business by defining a forward-looking product strategy, prioritizing high-impact initiatives, and executing with agility. You'll Need To Have:
- 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 with a deep understanding of 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. We'd Love To See:
- Passion for AI innovation and the evolving landscape of agentic, intelligent data systems.
- Understanding of cross-asset data models and quantitative integration.
- Exposure to clients workflows across either Trading, Risk, regulation or sustainability.
- Experience with Python, R, or other data science and analytics programming languages. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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