Product Manager – Physical Assets/Geospatial

USD 140,000-295,000 per year
MIDDLE
✅ On-site

Tech Stack

AI API Agile @ 3 Data Modeling @ 6

Details

As Bloomberg expands its investment in AI, analytics, and connected data, this role will lead the evolution of the Physical Assets & Geospatial data platform. The position focuses on transforming fragmented physical asset datasets into a cohesive, scalable platform that standardizes data models, improves data quality and interoperability, and enables broad reuse across products and workflows.

The platform will centralize asset data, integrate geospatial capabilities, and provide the infrastructure required for advanced analytics and event-driven insights. It will support Bloomberg's existing products and future AI-driven applications.

Responsibilities

  • Define and drive the product strategy for the Physical Assets & Geospatial platform, focusing on scalability, sustainability, and data quality.
  • Lead the design of data models and architecture to enable standardized, reusable, and well-governed datasets.
  • Build and evolve platform capabilities, including geospatial integration, asset-event linking, and data services.
  • Partner closely with Engineering and Data teams to deliver robust, scalable systems and improve data lifecycle management.
  • Unify datasets across domains and ensure consistency across workflows.
  • Enable internal and client-facing use cases through accessible APIs, services, and tooling.
  • Collaborate with multiple Product Managers to ensure seamless integration of asset, network, and industry data.
  • Drive client impact and product differentiation in partnership with commercial teams.

Requirements

  • Experience as a Product Manager working on data platforms, data infrastructure, or analytics-driven products.
  • Strong understanding of data modeling, data architecture, and scalable platform design.
  • Proven ability to rethink and improve data systems with a focus on long-term sustainability and reuse.
  • Strong analytical mindset with the ability to translate data challenges into actionable solutions.
  • Experience working cross-functionally with Engineering and Data teams to deliver complex platform initiatives.
  • Ability to define clear strategy, prioritize effectively, and execute against a roadmap with measurable outcomes.
  • Strong stakeholder management skills and the ability to influence across teams and business lines.
  • Comfort working in agile environments and managing multiple concurrent workstreams.
  • Fluency in using data and product metrics to drive decision-making and improve outcomes.
  • Solid understanding of Bloomberg Terminal workflows and how data is consumed by clients.

Preferred Attributes

  • Ability to communicate complex ideas clearly through strong storytelling and presentations.
  • A balance of attention to detail and big-picture thinking.
  • A proactive, self-driven approach focused on innovation and continuous improvement.
  • Positive energy and a collaborative mindset.

Benefits

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, a 401(k) match, life insurance, and wellness programs.

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