Technical Product Manager

Location

London

Business Area

Engineering and CTO

Ref #

Description & Requirements
Who we are / The Team
The Metadata Strategy team, part of Bloomberg\’s CTO Office, defines and delivers the long-term strategy for how semantic data and metadata are structured, managed, and leveraged across the company. Our mission is to build scalable, intelligent systems that make data more meaningful, discoverable, and interoperable across Bloomberg\’s diverse products and platforms.

The Bloomberg Knowledge Graph (KG) is a foundational data asset that models the vast and interconnected landscape of financial markets, entities, events, and metadata across Bloomberg\’s ecosystem. It serves as the semantic backbone of the firm, enabling consistent, context-rich representation of data that powers a wide array of internal and client-facing applications—from analytics and search to AI, personalization, and risk modeling. As a strategic artifact and the foundation of Bloomberg\’s Metadata Strategy, the Knowledge Graph underpins the next generation of AI-driven and semantically enriched experiences for Bloomberg clients and internal stakeholders alike. The Semantic Model Product Owner will play a key role in shaping the evolution of this critical platform.

About The Role
Bloomberg is seeking an experienced and visionary Technical Product Owner to lead the development and evolution of the Bloomberg Semantic Model (BSM)—our enterprise-wide knowledge modeling initiative and oversee the population of Bloomberg\’s knowledge graph and its integration into Bloomberg\’s ecosystem. This foundational role is responsible for shaping the strategic roadmap, technical direction, and execution plans for semantic modeling across financial and non-financial domains.

The ideal candidate will combine deep technical knowledge of semantic modeling and metadata systems with strong product ownership capabilities, enabling Bloomberg to scale its knowledge graph and metadata strategy in alignment with data, product, and AI workflows across the organization.

We\’ll trust you to

• Define and champion the long-term vision and strategic roadmap for Bloomberg\’s enterprise semantic model (BSM), aligning with firm-wide data and product strategies.
• Develop and deploy strategies for iterative semantic model development and modularization of semantic models and taxonomies for application across disparate use cases.
• Develop a domain-inclusive knowledge modeling strategy, extending BSM beyond financial instruments to include products, people, processes, and internal operations.
• Lead integration strategy between BSM and AI/ML teams, enabling semantic grounding for generative AI, intelligent agents, and large language models.
• Create structured roadmaps for domain-specific modeling, in partnership with data experts across asset classes, reference data, core product, and engineering teams.
• Oversee the prioritization and sequencing of data domains into the BSM, ensuring a coherent and extensible knowledge architecture.
• Establish best practices for ontology, taxonomy, and reference model development, ensuring quality, reusability, and semantic consistency.
• Stay abreast of the latest research, tools, and industry trends in knowledge representation, and incorporate innovative approaches into the modeling lifecycle.
• Introduce automation and tooling for model development workflows to streamline authoring, validation, and deployment processes.
• Work closely with data domain experts, core product stakeholders, and engineers to capture modeling requirements and translate them into actionable roadmaps and user stories.
• Serve as a key liaison between data teams, platform engineers, and AI researchers, facilitating communication and ensuring that models meet stakeholder needs.
• Foster collaboration between metadata creators and consumers, ensuring semantic infrastructure is usable, scalable, and impactful.

You\’ll need to have

• 8+ years of experience in a product management role
• Breadth of knowledge and familiarity with metadata, enterprise data modeling and industry best practices
• Proficiency in Semantic technologies and semantic data modeling including OWL, RDF/S, SPARQL, SHACL, Ontology design and knowledge graphs
• Experience in semantic model integration into large ecosystems and legacy systems
• A strong technical or Engineering background and broad technical fluency
• A track record of shaping business strategy and roadmaps for technical products and providing reliable, scalable, and easy-to-use infrastructure
• A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
• High degree of organization, individual initiative, and personal accountability
• Experience with one or more agile project management tools
• Ability to drive change and influence stakeholders at all levels to deliver impact in a fast-paced, high-pressure environment.

We\’d love to see

• A good understanding of financial markets , instruments and products
• Open source involvement or community presence
• Exposure to Bloomberg Terminal and/or enterprise data products
• Experience with collaborative design platforms, such as MIRO and FIGMA.

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