BLOOMBERG
Haringey, London
Technical Product Manager - Semantic Modeling and Integration 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. Being a part of Bloomberg communities is a great way to build your network.
Technical Product Manager - Semantic Modeling and Integration 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. Being a part of Bloomberg communities is a great way to build your network.
Jane's Group
Croydon, London
Janes empowers military, government, and defence leaders to act with confidence in an increasingly complex world. Our trusted defence, security, and geopolitical information delivered through seamless digital platforms and system integrations-turns overwhelming data into clear, actionable intelligence and insight. By filling critical information gaps, Janes helps customers analyse threats, accelerate decisions, and stay ahead of emerging challenges Job purpose: The Solutions Engineer is a critical member of the Product team, responsible for enabling the integration and optimization of Janes interconnected intelligence capabilities across the NATO enterprise. Working closely with the global Product Solutions team, you will support the deployment, configuration, and enhancement of Janes data across a variety of systems, platforms, and mission critical capabilities. This role focuses on enabling Janes data within individual systems, facilitating interoperability with third party and customer datasets, and aligning with NATO's evolving AI, intelligence and data requirements. You will help define and document data standards, technical specifications, and integration pathways to improve customer outcomes and drive innovation. You will contribute to high impact customer and partner projects across the Alliance, helping shape the future of Janes technical estate-including our graph knowledge base, intelligence products, and supporting infrastructure. Your work will have a direct impact on national security and defence capability. How you will contribute at Janes: System Integration: Support the integration of Janes data and models into customer systems of record, ensuring seamless functionality and operational relevance. Product Delivery: Assist in the development and delivery of Janes Interconnected Intelligence products, ensuring compliance with NATO standards and technical expectations. Customer Advisory: Provide remote and on site technical advisory services to customers, offering guidance on data attributes, integration strategies, and system optimisation. Documentation & Standards: Collate, analyse, assess and summarise current and emerging NATO documentation related to data models, ontologies, governance, processing, and third party integration. Ontology & Model Development: Advise on the evolution of Janes data models and ontologies to ensure compatibility and seamless integration with NATO and other customer ecosystems. Gap Analysis: Identify and prioritise unmet data requirements critical to NATO adoption and mission success. Strategic Expansion: Explore adjacent content and data domains for potential expansion-either organically or via acquisition-to deepen Janes relevance and support for NATO missions. Market Intelligence: Monitor and report on partner and competitor activity within NATO to identify opportunities for collaboration, expansion, or risk mitigation. Account Development: Share insights on how the NATO relationship can be leveraged to unlock opportunities in partner nations. Identify and help remove barriers to expansion. Presales & Bids: Support technical presales engagements, bid responses, and proposal submissions with subject matter expertise and solution design input. The ideal skills and experience for this role are: Domain Expertise: Proven experience in data integration, system interoperability, and technical advisory roles-ideally within defence and intelligence sectors. Strong understanding of data models, ontologies, and standards relevant to NATO and allied environments. Experience working with national security and defence organisations. Citizenship of a NATO nation with the ability to obtain a security clearance. Technical Proficiency: Proficient in Python, including SDKs, APIs, and data engineering best practices. Solid understanding of the Software Development Lifecycle (SDLC). Experience with graph databases (e.g., Neo4j, ArangoDB, GraphDB). Familiarity with at least two of the following technologies: ArcGIS, Palantir, RDBMS, Graph Databases. Education & Communication: Bachelor's degree in Computer Science, Information Technology, or equivalent work experience. Excellent presentation and communication skills, with the ability to engage technical and non technical stakeholders. Comfortable working in small, agile, and globally distributed teams. Knowledge of the Intelligence cycle and ability to understand NATO intelligence requirements and priorities. Mindset & Approach: Strategic thinker with a passion for solving complex technical challenges. Innovative, dynamic, and creative approach to problem solving. Willingness to learn, grow, and adapt in a fast paced environment. Front End & Web Technologies: Back End & Infrastructure: Experience with Docker, Elasticsearch, or Palantir. Hands on experience with cloud platforms and services, particularly AWS (EC2, Lambda, S3, etc.). Background in backend or frontend architecture and development. Experience with Python modules such as ArcPy and ArcGIS API for Python. Relevant experience using Esri technology and the full ArcGIS Enterprise suite, including ArcGIS Knowledge. Security & Clearance: An active security clearance is a strong advantage; however, the ability and willingness to obtain one is essential. 27 days of annual leave Healthy half (0.5 day leave every 6 months for wellbeing) Private medical insurance - BUPA Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay) Paternity (100% of basic salary for 6 weeks) Life cover Access to LinkedIn Learning Access to an on site gym Life at Janes We believe Janes is truly a great place to work. Our values and leadership code drive everything we do, and we understand that the right behaviours and culture will always result in the best outcomes for our customers, our colleagues, our shareholders, and our business. We provide a supportive, stretching, and dynamic environment with the ability for you to grow rapidly, both personally and professionally. Janes is an inclusive and equal opportunities employer and encourages applications regardless of age, race, disability, religion / belief, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy/maternity, or gender. Although this role is advertised as full time, Janes believed that flexibility at work can provide many significant benefits both to our colleagues and the business. We already work in a hybrid style across all offices and regions and can support different ways of working and offer different flexible working arrangements. So, if you are interested and have any requirements or needs in the way you would like to work, please apply, and speak to us about this. We will always consider part time or flexible applications.
Janes empowers military, government, and defence leaders to act with confidence in an increasingly complex world. Our trusted defence, security, and geopolitical information delivered through seamless digital platforms and system integrations-turns overwhelming data into clear, actionable intelligence and insight. By filling critical information gaps, Janes helps customers analyse threats, accelerate decisions, and stay ahead of emerging challenges Job purpose: The Solutions Engineer is a critical member of the Product team, responsible for enabling the integration and optimization of Janes interconnected intelligence capabilities across the NATO enterprise. Working closely with the global Product Solutions team, you will support the deployment, configuration, and enhancement of Janes data across a variety of systems, platforms, and mission critical capabilities. This role focuses on enabling Janes data within individual systems, facilitating interoperability with third party and customer datasets, and aligning with NATO's evolving AI, intelligence and data requirements. You will help define and document data standards, technical specifications, and integration pathways to improve customer outcomes and drive innovation. You will contribute to high impact customer and partner projects across the Alliance, helping shape the future of Janes technical estate-including our graph knowledge base, intelligence products, and supporting infrastructure. Your work will have a direct impact on national security and defence capability. How you will contribute at Janes: System Integration: Support the integration of Janes data and models into customer systems of record, ensuring seamless functionality and operational relevance. Product Delivery: Assist in the development and delivery of Janes Interconnected Intelligence products, ensuring compliance with NATO standards and technical expectations. Customer Advisory: Provide remote and on site technical advisory services to customers, offering guidance on data attributes, integration strategies, and system optimisation. Documentation & Standards: Collate, analyse, assess and summarise current and emerging NATO documentation related to data models, ontologies, governance, processing, and third party integration. Ontology & Model Development: Advise on the evolution of Janes data models and ontologies to ensure compatibility and seamless integration with NATO and other customer ecosystems. Gap Analysis: Identify and prioritise unmet data requirements critical to NATO adoption and mission success. Strategic Expansion: Explore adjacent content and data domains for potential expansion-either organically or via acquisition-to deepen Janes relevance and support for NATO missions. Market Intelligence: Monitor and report on partner and competitor activity within NATO to identify opportunities for collaboration, expansion, or risk mitigation. Account Development: Share insights on how the NATO relationship can be leveraged to unlock opportunities in partner nations. Identify and help remove barriers to expansion. Presales & Bids: Support technical presales engagements, bid responses, and proposal submissions with subject matter expertise and solution design input. The ideal skills and experience for this role are: Domain Expertise: Proven experience in data integration, system interoperability, and technical advisory roles-ideally within defence and intelligence sectors. Strong understanding of data models, ontologies, and standards relevant to NATO and allied environments. Experience working with national security and defence organisations. Citizenship of a NATO nation with the ability to obtain a security clearance. Technical Proficiency: Proficient in Python, including SDKs, APIs, and data engineering best practices. Solid understanding of the Software Development Lifecycle (SDLC). Experience with graph databases (e.g., Neo4j, ArangoDB, GraphDB). Familiarity with at least two of the following technologies: ArcGIS, Palantir, RDBMS, Graph Databases. Education & Communication: Bachelor's degree in Computer Science, Information Technology, or equivalent work experience. Excellent presentation and communication skills, with the ability to engage technical and non technical stakeholders. Comfortable working in small, agile, and globally distributed teams. Knowledge of the Intelligence cycle and ability to understand NATO intelligence requirements and priorities. Mindset & Approach: Strategic thinker with a passion for solving complex technical challenges. Innovative, dynamic, and creative approach to problem solving. Willingness to learn, grow, and adapt in a fast paced environment. Front End & Web Technologies: Back End & Infrastructure: Experience with Docker, Elasticsearch, or Palantir. Hands on experience with cloud platforms and services, particularly AWS (EC2, Lambda, S3, etc.). Background in backend or frontend architecture and development. Experience with Python modules such as ArcPy and ArcGIS API for Python. Relevant experience using Esri technology and the full ArcGIS Enterprise suite, including ArcGIS Knowledge. Security & Clearance: An active security clearance is a strong advantage; however, the ability and willingness to obtain one is essential. 27 days of annual leave Healthy half (0.5 day leave every 6 months for wellbeing) Private medical insurance - BUPA Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay) Paternity (100% of basic salary for 6 weeks) Life cover Access to LinkedIn Learning Access to an on site gym Life at Janes We believe Janes is truly a great place to work. Our values and leadership code drive everything we do, and we understand that the right behaviours and culture will always result in the best outcomes for our customers, our colleagues, our shareholders, and our business. We provide a supportive, stretching, and dynamic environment with the ability for you to grow rapidly, both personally and professionally. Janes is an inclusive and equal opportunities employer and encourages applications regardless of age, race, disability, religion / belief, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy/maternity, or gender. Although this role is advertised as full time, Janes believed that flexibility at work can provide many significant benefits both to our colleagues and the business. We already work in a hybrid style across all offices and regions and can support different ways of working and offer different flexible working arrangements. So, if you are interested and have any requirements or needs in the way you would like to work, please apply, and speak to us about this. We will always consider part time or flexible applications.
