Product Manager - Data User Experience - BQuant

Details

Bloomberg's BQuant platform brings together data, APIs, and AI to enable code-aware users to analyze and combine Bloomberg financial data and analytics with proprietary datasets. The platform supports models and workflows across the investment lifecycle, including research, trading, portfolio management, risk, backtesting, and production applications.

As Product Lead for the Data User Experience, you will define and drive the vision, strategy, and execution of BQuant's core data and analytics experience. You will oversee how users discover, access, understand, and work with data, while enabling them to combine Bloomberg data with proprietary datasets with confidence and trust. You will work with end users, internal teams, Engineering, Quants, UX, other product managers, and Bloomberg's data-producing teams.

Responsibilities

Define the Data User Experience

• Set the vision and own execution for the end-to-end data experience in BQuant.
• Own the roadmap and backlog based on customer input, product strategy, value propositions, competitor analysis, and operational requirements.
• Balance short-term improvements with long-term platform scalability.

Build a Scalable Data Analytics Platform

• Ensure data can be integrated, enriched, and combined with client data.
• Define and evolve API abstractions for financial and alternative datasets.
• Ensure data is provisioned with appropriate SLAs, reliability, and performance.
• Enable batch and streaming data workflows.
• Drive consistency in how data is modeled, accessed, and used across the platform.
• Ensure robust handling of entitlements, security, and data governance.

Enable Quantitative and Data-Intensive Workflows

• Support research, backtesting, and production deployment workflows.
• Enable users to generate signals and analytics from combined datasets.
• Partner with teams building solutions on top of the data platform.
• Ensure support for multi-asset and complex financial data use cases.
• Enable users to trust data throughout the lifecycle from experimentation to production.

Collaborate Across Bloomberg

• Act as the primary liaison with data-producing teams to onboard new datasets.
• Partner with Engineering, UX, and other product teams to deliver cohesive solutions.
• Balance the needs of internal platform users and external clients.

Requirements

• At least 5 years of experience defining and executing product strategy for platform products.
• Expert prioritization skills, balancing user needs, technical constraints, and business impact.
• Experience delivering complex products from concept through execution.
• Strong experience building or leading data platforms or analytics infrastructure.
• Good understanding of data access patterns, APIs, and data modeling.
• Experience working with large-scale datasets, including time series and streaming data.
• Practical experience applying AI/ML to solve customer problems and translating emerging capabilities into product strategy and measurable outcomes.
• Deep experience working closely with engineering teams on technical platform products.
• Excellent communication skills with technical and non-technical stakeholders.
• Strong collaboration skills across Product, Engineering, Quants, and business teams.
• Understanding of workflows across research, analytics, and trading.
• Experience enabling users to combine multiple datasets and generate insights.
• Familiarity with challenges involved in moving from research to production systems.
• Experience addressing data quality, entitlements, security, and governance challenges.

Compensation and Benefits

• Annual salary range: $140,000-$295,000 USD.
• Benefits may include merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.
• Actual compensation may vary based on geographic location, work experience, market conditions, education or training, and skill level.