Senior Data Management Professional - Data Product Owner - Holdings

Bloomberg; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Bloomberg’s Data team in London seeks a Data Product Owner to shape the strategy and evolution of the Holdings data product. You will balance client needs, market developments, and technical feasibility to drive a clear roadmap from concept to delivery.

You will gather feedback, usage signals, and competitive insights to set measurable outcomes, prioritize investment, and collaborate with Product, Data, and Engineering to coordinate cross-functional work across ownership, portfolio, exposure

Qualifications

• 3+ years in data product management or related field.
• Experience with holdings, ownership, or portfolio data.
• Ability to translate client needs into measurable outcomes.
• Experience collaborating with engineers and product teams.
• Strong data storytelling and decision-making based on usage and market insights.

Responsibilities

• Shape strategy, outcomes, and roadmap for Bloomberg’s Holdings data product.
• Prioritize investments and tradeoffs based on client feedback and usage data.
• Define how holdings analytics should evolve, including ownership and portfolio coverage.
• Collaborate across Product, Data, and Engineering to manage dependencies and risks.
• Translate insights into product decisions and communicate progress to stakeholders.

Skills

Data product management

Product ownership

Data strategy

Job description

Description & Requirements

Bloomberg runs on data. Our products bring together data, context, news, and analytics to help clients understand global markets and make informed decisions. In Data, we turn complex information into trusted, connected products that power workflows across Bloomberg.

Location
London

Business Area
Data

Ref #
10054953

The Role

We’re looking for a Data Product Owner to shape the strategy and evolution of Bloomberg’s Holdings data product.

Holdings data sits at the center of important questions about ownership, portfolios, and investment exposure. In this role, you’ll determine how the product should evolve to better answer those questions, balancing the needs of today’s highest-priority use cases with opportunities to expand its future value.

You’ll bring together client feedback, product usage, market developments, competitive insight, and expertise from across Data, Product, and Engineering. You’ll use those signals to set a clear product strategy, define measurable outcomes, prioritize investment, and guide a roadmap from idea through delivery.

This is an opportunity to influence not only the Holdings dataset itself, but also the ownership, portfolio, exposure, risk, and regulatory analytics it can enable across Bloomberg.

We’ll Trust You To

• Shape the evolution of Bloomberg’s Holdings data product, identifying where improvements to coverage, quality, completeness, connectivity, and usability can create the greatest client and product value
• Define the product strategy, outcomes, and roadmap, using evidence to decide where Holdings should improve, expand, or differentiate and making clear prioritization and tradeoff decisions
• Deepen how Holdings supports ownership, portfolio, and exposure analytics, including evaluating how evolving instruments, derivatives, and direct and indirect ownership structures should be represented
• Identify new opportunities for Holdings data, particularly across ownership analytics, portfolio analysis, exposure, risk, and regulatory use cases
• Turn insight into product decisions, using client feedback, usage data, market developments, and competitive intelligence to test assumptions and determine where to invest
• Lead the roadmap from strategy through delivery, partnering across Product, Data, Engineering, and domain experts to manage dependencies, address risks, measure outcomes, and communicate decisions and progress

You’ll Need To Have

• 3+ years of professional experience in data product management, product ownership, data strategy, or a related field, or equivalent experience
• Experience with holdings, ownership, portfolio, security master, or other investment data
• Experience defining product or data strategy and translating business or client needs into priorities, requirements, and measurable outcomes
• Experience working with engineers and technical partners, including discussing technical concepts and evaluating product and design tradeoffs
• Experience using data, client insight, and structured problem solving to make decisions and improve products, processes, or workflows
• Ability to explain complex data and product decisions clearly to technical and non-technical audiences
• Experience aligning cross-functional partners around priorities and moving initiatives from strategy through delivery

We’d Love To See

• Familiarity with institutional investment workflows, including portfolio, exposure, risk, or regulatory analytics
• Experience defining or evolving data products that serve multiple downstream products, analytics, or client workflows

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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