Technical Product Manager

Bloomberg L.P.; England; On-site; GBP 85,000 - 110,000; Full time

Job summary

A global technology firm is seeking an experienced Technical Product Owner to lead the development of its Semantic Model initiative. The role involves defining the product roadmap, overseeing the integration of semantic technologies, and collaborating with diverse teams to ensure the effectiveness of knowledge representation. The ideal candidate has over 8 years of product management experience, a strong background in semantic data modeling, and an understanding of financial markets. Competitive compensation and a dynamic environment await the right individual.

Qualifications

• 8+ years of experience in a product management role.
• Strong technical or Engineering background with broad technical fluency.
• Experience in semantic model integration into large ecosystems and legacy systems.

Responsibilities

• Define and champion the long-term vision for the Bloomberg semantic model.
• Develop strategy for iterative semantic model development.
• Lead integration strategy between BSM and AI/ML teams.

Skills

Semantic technologies and semantic data modeling

Agile project management tools

Collaboration platforms (MIRO, FIGMA)

Financial markets knowledge

Change management

Education

Degree in Computer Science, Engineering, or Mathematics

Tools

OWL

RDF/S

SPARQL

SHACL

Job description

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.

• 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.
• 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.

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.