corporate_fare
Bloomberg
verifiedVerified ListingProduct Manager – Physical Assets/Geospatial
schedulePosted 11 days ago
workFull time
bar_chartSenior
AgileAIAPIsAsset management systemsData ArchitectureData ModelsData QualityGeospatialProduct DevelopmentSpatial DataStakeholder Management
About the Role
Location
London
Business Area
Product
Ref #
10052106
Description & Requirements
The Opportunity
As Bloomberg continues to expand its investment in AI, analytics, and connected data, the need for high-quality, well-structured, and accessible datasets is more critical than ever. Industry and physical asset data sit at the core of how clients understand real-world operations, risk, and opportunity.
We are at an inflection point: much of this data today is fragmented, inconsistently modeled, and optimized for specific use cases rather than long-term reuse. This role is an opportunity to rethink and rebuild how Physical Assets & Geospatial data is managed—creating a scalable, sustainable foundation that improves data quality, interoperability, and accessibility across the Terminal.
The Team
The Industry Data & Supply Chain (IDSP) team is part of Core & Industry Financial Data. We bring together Industry Data, Supply Chain, and Physical Assets & Geospatial (PAGEO) to deliver a unified view of how industries operate and evolve. Our goal is to enable clients—and internal teams—to seamlessly analyze company exposure, supply chain dynamics, and real-world impacts within a connected workflow.
The Role
We are looking for a Product Manager to lead the evolution of Bloomberg’s Physical Assets & Geospatial data platform.
This role goes beyond incremental product development. It requires a fresh perspective on how asset data should be structured, governed, and delivered at scale. You will drive the transformation from fragmented datasets into a cohesive platform that standardizes data models, enforces quality, and enables broad reuse across products and workflows.
You will define and execute a strategy to centralize asset data, integrate geospatial capabilities, and build the infrastructure needed to support advanced analytics and event-driven insights. This platform will act as a core foundation for the company's existing products and enable future AI-driven applications.
Key Responsibilities
Define and drive the product strategy for the Physical Assets & Geospatial platform, with a focus 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
Break down silos by unifying datasets across domains and ensuring consistency across workflows
Enable internal and client-facing use cases through accessible APIs, services, and tooling
Collaborate with multiple PMs to ensure seamless integration of asset, network, and industry data
Drive client impact and product differentiation in partnership with commercial teams
You’ll Need To Have
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
Love to See
Ability to clearly communicate complex ideas through strong storytelling and presentations
A balance of attention to detail and big-picture thinking
A proactive, self-driven approach with a focus on innovation and continuous improvement
Positive energy and a collaborative mindset
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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domain
Bloomberg
Leading-edge innovations and technical excellence in the geospatial domain.