Product Manager – Physical Assets/Geospatial

Description & RequirementsDescription & Requirements

Description & Requirements

The OpportunityAs 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 TeamThe 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 RoleWe 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 ResponsibilitiesDefine and drive the product strategy for the Physical Assets & Geospatial platform, with a focus on scalability, sustainability, and data qualityLead the design of data models and architecture to enable standardized, reusable, and well-governed datasetsBuild and evolve platform capabilities, including geospatial integration, asset-event linking, and data servicesPartner closely with Engineering and Data teams to deliver robust, scalable systems and improve data lifecycle managementBreak down silos by unifying datasets across domains and ensuring consistency across workflowsEnable internal and client-facing use cases through accessible APIs, services, and toolingCollaborate with multiple PMs to ensure seamless integration of asset, network, and industry dataDrive client impact and product differentiation in partnership with commercial teamsYou’ll Need To HaveExperience as a Product Manager working on data platforms, data infrastructure, or analytics-driven productsStrong understanding of data modeling, data architecture, and scalable platform designProven ability to rethink and improve data systems with a focus on long-term sustainability and reuseStrong analytical mindset with the ability to translate data challenges into actionable solutionsExperience working cross-functionally with Engineering and Data teams to deliver complex platform initiativesAbility to define clear strategy, prioritize effectively, and execute against a roadmap with measurable outcomesStrong stakeholder management skills and the ability to influence across teams and business linesComfort working in agile environments and managing multiple concurrent workstreamsFluency in using data and product metrics to drive decision-making and improve outcomesSolid understanding of Bloomberg Terminal workflows and how data is consumed by clientsLove to SeeAbility to clearly communicate complex ideas through strong storytelling and presentationsA balance of attention to detail and big-picture thinkingA proactive, self-driven approach with a focus on innovation and continuous improvementPositive 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. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.The OpportunityAs 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 TeamThe 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 RoleWe 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 ResponsibilitiesDefine and drive the product strategy for the Physical Assets & Geospatial platform, with a focus on scalability, sustainability, and data qualityLead the design of data models and architecture to enable standardized, reusable, and well-governed datasetsBuild and evolve platform capabilities, including geospatial integration, asset-event linking, and data servicesPartner closely with Engineering and Data teams to deliver robust, scalable systems and improve data lifecycle managementBreak down silos by unifying datasets across domains and ensuring consistency across workflowsEnable internal and client-facing use cases through accessible APIs, services, and toolingCollaborate with multiple PMs to ensure seamless integration of asset, network, and industry dataDrive client impact and product differentiation in partnership with commercial teamsYou’ll Need To HaveExperience as a Product Manager working on data platforms, data infrastructure, or analytics-driven productsStrong understanding of data modeling, data architecture, and scalable platform designProven ability to rethink and improve data systems with a focus on long-term sustainability and reuseStrong analytical mindset with the ability to translate data challenges into actionable solutionsExperience working cross-functionally with Engineering and Data teams to deliver complex platform initiativesAbility to define clear strategy, prioritize effectively, and execute against a roadmap with measurable outcomesStrong stakeholder management skills and the ability to influence across teams and business linesComfort working in agile environments and managing multiple concurrent workstreamsFluency in using data and product metrics to drive decision-making and improve outcomesSolid understanding of Bloomberg Terminal workflows and how data is consumed by clientsLove to SeeAbility to clearly communicate complex ideas through strong storytelling and presentationsA balance of attention to detail and big-picture thinkingA proactive, self-driven approach with a focus on innovation and continuous improvementPositive 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. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.The OpportunityAs 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 TeamThe 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 RoleWe 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 ResponsibilitiesDefine and drive the product strategy for the Physical Assets & Geospatial platform, with a focus on scalability, sustainability, and data qualityLead the design of data models and architecture to enable standardized, reusable, and well-governed datasetsBuild and evolve platform capabilities, including geospatial integration, asset-event linking, and data servicesPartner closely with Engineering and Data teams to deliver robust, scalable systems and improve data lifecycle managementBreak down silos by unifying datasets across domains and ensuring consistency across workflowsEnable internal and client-facing use cases through accessible APIs, services, and toolingCollaborate with multiple PMs to ensure seamless integration of asset, network, and industry dataDrive client impact and product differentiation in partnership with commercial teamsYou’ll Need To HaveExperience as a Product Manager working on data platforms, data infrastructure, or analytics-driven productsStrong understanding of data modeling, data architecture, and scalable platform designProven ability to rethink and improve data systems with a focus on long-term sustainability and reuseStrong analytical mindset with the ability to translate data challenges into actionable solutionsExperience working cross-functionally with Engineering and Data teams to deliver complex platform initiativesAbility to define clear strategy, prioritize effectively, and execute against a roadmap with measurable outcomesStrong stakeholder management skills and the ability to influence across teams and business linesComfort working in agile environments and managing multiple concurrent workstreamsFluency in using data and product metrics to drive decision-making and improve outcomesSolid understanding of Bloomberg Terminal workflows and how data is consumed by clientsLove to SeeAbility to clearly communicate complex ideas through strong storytelling and presentationsA balance of attention to detail and big-picture thinkingA proactive, self-driven approach with a focus on innovation and continuous improvementPositive energy and a collaborative mindsetThe OpportunityAs 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 TeamThe 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 RoleWe 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 ResponsibilitiesDefine and drive the product strategy for the Physical Assets & Geospatial platform, with a focus on scalability, sustainability, and data qualityLead the design of data models and architecture to enable standardized, reusable, and well-governed datasetsBuild and evolve platform capabilities, including geospatial integration, asset-event linking, and data servicesPartner closely with Engineering and Data teams to deliver robust, scalable systems and improve data lifecycle managementBreak down silos by unifying datasets across domains and ensuring consistency across workflowsEnable internal and client-facing use cases through accessible APIs, services, and toolingCollaborate with multiple PMs to ensure seamless integration of asset, network, and industry dataDrive client impact and product differentiation in partnership with commercial teamsYou’ll Need To HaveExperience as a Product Manager working on data platforms, data infrastructure, or analytics-driven productsStrong understanding of data modeling, data architecture, and scalable platform designProven ability to rethink and improve data systems with a focus on long-term sustainability and reuseStrong analytical mindset with the ability to translate data challenges into actionable solutionsExperience working cross-functionally with Engineering and Data teams to deliver complex platform initiativesAbility to define clear strategy, prioritize effectively, and execute against a roadmap with measurable outcomesStrong stakeholder management skills and the ability to influence across teams and business linesComfort working in agile environments and managing multiple concurrent workstreamsFluency in using data and product metrics to drive decision-making and improve outcomesSolid understanding of Bloomberg Terminal workflows and how data is consumed by clientsLove to SeeAbility to clearly communicate complex ideas through strong storytelling and presentationsA balance of attention to detail and big-picture thinkingA proactive, self-driven approach with a focus on innovation and continuous improvementPositive energy and a collaborative mindsetThe OpportunityAs 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 TeamThe 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 RoleWe 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 ResponsibilitiesDefine and drive the product strategy for the Physical Assets & Geospatial platform, with a focus on scalability, sustainability, and data qualityLead the design of data models and architecture to enable standardized, reusable, and well-governed datasetsBuild and evolve platform capabilities, including geospatial integration, asset-event linking, and data servicesPartner closely with Engineering and Data teams to deliver robust, scalable systems and improve data lifecycle managementBreak down silos by unifying datasets across domains and ensuring consistency across workflowsEnable internal and client-facing use cases through accessible APIs, services, and toolingCollaborate with multiple PMs to ensure seamless integration of asset, network, and industry dataDrive client impact and product differentiation in partnership with commercial teamsYou’ll Need To HaveExperience as a Product Manager working on data platforms, data infrastructure, or analytics-driven productsStrong understanding of data modeling, data architecture, and scalable platform designProven ability to rethink and improve data systems with a focus on long-term sustainability and reuseStrong analytical mindset with the ability to translate data challenges into actionable solutionsExperience working cross-functionally with Engineering and Data teams to deliver complex platform initiativesAbility to define clear strategy, prioritize effectively, and execute against a roadmap with measurable outcomesStrong stakeholder management skills and the ability to influence across teams and business linesComfort working in agile environments and managing multiple concurrent workstreamsFluency in using data and product metrics to drive decision-making and improve outcomesSolid understanding of Bloomberg Terminal workflows and how data is consumed by clientsLove to SeeAbility to clearly communicate complex ideas through strong storytelling and presentationsA balance of attention to detail and big-picture thinkingA proactive, self-driven approach with a focus on innovation and continuous improvementPositive energy and a collaborative mindsetThe OpportunityThe OpportunityAs 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 TeamThe TeamThe 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 RoleThe RoleWe 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 ResponsibilitiesKey ResponsibilitiesDefine and drive the product strategy for the Physical Assets & Geospatial platform, with a focus on scalability, sustainability, and data qualityLead the design of data models and architecture to enable standardized, reusable, and well-governed datasetsBuild and evolve platform capabilities, including geospatial integration, asset-event linking, and data servicesPartner closely with Engineering and Data teams to deliver robust, scalable systems and improve data lifecycle managementBreak down silos by unifying datasets across domains and ensuring consistency across workflowsEnable internal and client-facing use cases through accessible APIs, services, and toolingCollaborate with multiple PMs to ensure seamless integration of asset, network, and industry dataDrive client impact and product differentiation in partnership with commercial teams

• 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 HaveYou’ll Need To HaveExperience as a Product Manager working on data platforms, data infrastructure, or analytics-driven productsStrong understanding of data modeling, data architecture, and scalable platform designProven ability to rethink and improve data systems with a focus on long-term sustainability and reuseStrong analytical mindset with the ability to translate data challenges into actionable solutionsExperience working cross-functionally with Engineering and Data teams to deliver complex platform initiativesAbility to define clear strategy, prioritize effectively, and execute against a roadmap with measurable outcomesStrong stakeholder management skills and the ability to influence across teams and business linesComfort working in agile environments and managing multiple concurrent workstreamsFluency in using data and product metrics to drive decision-making and improve outcomesSolid understanding of Bloomberg Terminal workflows and how data is consumed by clients

• 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 SeeLove to SeeAbility to clearly communicate complex ideas through strong storytelling and presentationsA balance of attention to detail and big-picture thinkingA proactive, self-driven approach with a focus on innovation and continuous improvementPositive energy and a collaborative mindset

• 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.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.Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.podcast series