Senior Data Management Professional - Data Product Owner - Holdings

Senior Data Management Professional - Data Product Owner - Holdings Location Princeton Business Area Data Ref # 10054950 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.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 valueDefine the product strategy, outcomes, and roadmap, using evidence to decide where Holdings should improve, expand, or differentiate and making clear prioritization and tradeoff decisionsDeepen how Holdings supports ownership, portfolio, and exposure analytics, including evaluating how evolving instruments, derivatives, and direct and indirect ownership structures should be representedIdentify new opportunities for Holdings data, particularly across ownership analytics, portfolio analysis, exposure, risk, and regulatory use casesTurn insight into product decisions, using client feedback, usage data, market developments, and competitive intelligence to test assumptions and determine where to investLead 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 progressYou’ll need to have:3+ years of professional experience in data product management, product ownership, data strategy, or a related field, or equivalent experienceExperience with holdings, ownership, portfolio, security master, or other investment dataExperience defining product or data strategy and translating business or client needs into priorities, requirements, and measurable outcomesExperience working with engineers and technical partners, including discussing technical concepts and evaluating product and design tradeoffsExperience using data, client insight, and structured problem solving to make decisions and improve products, processes, or workflowsAbility to explain complex data and product decisions clearly to technical and non-technical audiencesExperience aligning cross-functional partners around priorities and moving initiatives from strategy through deliveryWe’d love to see:Familiarity with institutional investment workflows, including portfolio, exposure, risk, or regulatory analyticsExperience defining or evolving data products that serve multiple downstream products, analytics, or client workflowsIf this sounds like you:Apply if you think we're a good match. We'll get in touch to let you know the next steps!Salary Range = 110,000 - 190,000 USD Annual + Benefits + BonusThe 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. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.