Product Manager - Data User Experience - BQuant (New York)

Product Manager - Data User Experience - BQuant


Location


New York


Business Area


Engineering and CTO


Ref #


10049958




Description & Requirements
What we doBloomberg is the global leader in financial data, analytics, and technology. Our products power the workflows of financial professionals across research, trading, portfolio management, and risk.At the centre of this is BQuant. BQuant reimagines the Bloomberg experience by putting code at its core - it brings together the cutting edge of our Data, API, and AI strategies to enable unprecedented customization and time-to-value for our code-aware users, and in a manner that is instantly available. These users can quickly analyze and combine Bloomberg’s extensive financial data and analytics with their own, to build models and workflows that span the entire investment lifecycle, and easily make these available to any other user at their firm.Your Role As Product Lead for the Data User Experience, you will define and drive the vision, strategy, and execution of the core data and analytics experience within BQuant.You will be responsible for how users discover, access, understand, and work with data, enabling them to combine Bloomberg data with proprietary datasets to power research, trading and AI applications - with confidence and trust.Your customers will include both end users and internal teams building workflow-specific solutions on top of the platform, such as backtesting and trading systems integrations. You will also serve as the primary liaison to Bloomberg’s data-producing teams, and will work closely with Engineering, Quants, and other product managers to ensure the platform enables a wide range of use cases, from exploratory research to production-grade applications.What You’ll DoDefine the Data User ExperienceSet the vision and own the execution for the end-to-end data experience in BQuantOwn the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis and operational requirementsBalance short-term improvements with long-term platform scalabilityBuild a Scalable Data Analytics PlatformEnsure data can be easily integrated, enriched, and combined with client dataDefine and evolve API abstractions for using financial and alternative datasetsEnsure data is provisioned with appropriate SLAs, reliability, and performanceEnable support for different workflows using batch and streaming dataDrive consistency in how data is modeled, accessed, and used across the platformEnsure robust handling of entitlements, security, and data governanceEnable Quantitative and Data Intensive WorkflowsSupport workflows across research, backtesting, and production deploymentEnable users to generate signals and analytics from combined datasetsPartner with teams building solutions on top of the data platformEnsure the platform supports multi-asset and complex financial data use casesEnable users to trust data across the full lifecycle from experimentation to productionCollaborate Across BloombergAct as the primary liaison with data-producing teams to onboard new datasetsPartner with Engineering, UX, and other product teams to deliver cohesive solutionsBalance the needs of internal platform users and external clientsWhat We’re Looking ForProduct Strategy & ExecutionProven ability (5 yrs+) to define and execute product strategy for platform productsExpert prioritization skills balancing user needs, technical constraints, and business impactExperience delivering complex products from concept through executionData Platform Expertise and InnovationStrong experience building or leading data platforms or analytics infrastructureGood understanding of data access patterns, APIs, and data modelingExperience working with large-scale datasets, including time series and streaming dataPractical experience applying AI/ML to solve customer problems, with a strong understanding of how to translate emerging capabilities into product strategy and measurable outcomesPartnership & CommunicationDeep experience working closely with engineering teams on technical platform productsExcellent communication skills with both technical and non-technical stakeholdersStrong collaboration skills across Product, Engineering, Quants, and business teamsQuantitative & Data Workflow UnderstandingUnderstanding of workflows across research, analytics, and tradingExperience enabling users to combine multiple datasets and generate insightsFamiliarity with challenges in moving from research to production systemsExperience addressing data quality, entitlements, security, and governance challengesSalary Range = 140,000 - 295,000 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.
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