Knowledge Modelling Product Manager - Contract - Remote in the UK Remote - candidates may work from anywhere in the UK Contract Market rate - via Umbrella Role Overview The client is seeking an experienced Knowledge Modelling Product Manager to support the successful adoption of a semantic abstraction layer across its central platform team and multiple business units. This role requires strong, hands-on knowledge of modelling expertise and the ability to bridge the gap between semantic technologies and the operational needs of teams that are new to ontology-based approaches. You will work closely with platform architects, engineers, data specialists and subject-matter experts to establish modelling standards, develop canonical domain models and build sustainable semantic-modelling capability across the organisation. You will work closely with: Data Portfolio Managers Semantic Platform Administrators Platform Architects and Engineers Data Modellers Data Engineers Subject-Matter Experts Business-unit stakeholders Key Responsibilities 1. Client Platform Team Enablement Train platform architects and engineers in semantic-modelling fundamentals, including OWL, RDF/RDFS, SKOS, SPARQL, graph-database operation, ontology-design patterns and common modelling pitfalls. Guide the engineering team in the implementation of ontology-management services, ensuring that technical decisions support the intended business outcomes. Establish semantic standards for the Client Platform, including naming conventions, annotation requirements, foundational ontology-alignment patterns and shared vocabularies. Work collaboratively with relevant architecture, data and governance teams to ensure consistent implementation of these standards. Provide expert guidance to technical teams without taking ownership of software engineering or platform-infrastructure delivery. 2. Business-Unit Enablement Work directly with subject-matter experts and data modellers across the organisation to develop their first canonical domain models. Facilitate structured workshops in which subject-matter experts articulate their domain knowledge and data modellers translate it into formal semantic-model decisions. Apply a hands-on and pragmatic approach rather than relying on theoretical training alone. Build capability progressively by initially working alongside teams, then coaching them and ultimately enabling them to operate independently. Develop reusable guidance materials, including: Modelling guides Worked examples based on real business domains Ontology-design patterns Decision frameworks for common modelling questions Help teams make practical decisions about model granularity, class hierarchies, properties, relationships and reuse. 3. Stakeholder Engagement and Adoption Explain the business value of the semantic layer to non-technical stakeholders using clear, outcome-focused language. Present tangible examples of how well-designed canonical models support business and technology outcomes. Address stakeholder concerns honestly, including where semantic approaches introduce additional effort and where that investment is expected to deliver value. Promote adoption across culturally and technically diverse stakeholder groups. Demonstrate how semantic modelling can improve: Data findability Interoperability Intellectual-property protection Cross-business data understanding Application-development Data-product descriptions Integration efficiency and cost 4. Modelling Quality Assurance Act as the expert reviewer within the model-publication process during the initial increments of the Client Platform. Review submitted models for: Structural quality Standards compliance Pattern adherence Reusability Interoperability readiness Define clear and practical criteria for what a high-quality canonical domain model looks like. Produce concrete examples that teams can use as reference models. Identify and challenge modelling anti-patterns before they become Embedded across the organisation. Ensure that data and governance policies are reflected correctly in the models, while recognising that policy ownership sits with the relevant governance teams. Essential Experience Significant hands-on ontology-development experience within an industrial, commercial or enterprise environment. Practical expertise in: Web Ontology Language - OWL Resource Description Framework - RDF RDF Schema - RDFS Simple Knowledge Organization System - SKOS SPARQL OWL API Experience designing, developing and maintaining enterprise semantic models or canonical domain models. Experience operating open-standards graph databases, including configuration, data loading, querying and performance considerations. Demonstrable ability to translate complex knowledge from subject-matter experts into formal semantic models. Experience introducing semantic technologies to teams with limited or no previous exposure to ontology-based approaches. Evidence of achieving successful adoption and capability transfer, rather than solely delivering technical artefacts. Experience facilitating requirements-gathering and domain-modelling workshops with technical and non-technical participants. Essential Skills Strong ontology-engineering and knowledge-modelling capability. Ability to explain semantic-modelling concepts to non-technical audiences without unnecessary jargon. Ability to work with specialist domain experts and extract the knowledge required to produce coherent, usable models. Strong requirements-analysis and stakeholder-management skills. Comfortable working in an environment where the technology and operating model are still developing. Pragmatic, patient and able to provide clarity in ambiguous situations. Strong views on modelling quality, balanced with the flexibility to respond to practical delivery constraints. Excellent written communication skills, with the ability to produce concise and usable guidance rather than academic documentation. Clear and straightforward verbal communication. Comfortable working across multidisciplinary and multicultural teams. Able to influence technical decisions without direct ownership of engineering delivery. Desirable Experience Broader graph-database experience. Requirements-life cycle management. Product-management or platform-product experience. Data-governance implementation. Enterprise data architecture. Team leadership, coaching or capability development. Experience working across multiple business units or federated organisations. Scope of the Role The role is intended to build lasting capability within the platform team and wider business. The objective is to move progressively from hands-on delivery to coaching and advisory support as internal teams become more autonomous. This is.*not a software-engineering role*. The contractor will not be responsible for building the underlying platform infrastructure but must have sufficient technical expertise to guide the teams responsible for its delivery. This is.*not a data-governance ownership role*. Governance policies will be owned by the appropriate governance stakeholders; this role will help ensure those policies are implemented effectively within semantic models and platform practices.
24/06/2026
Contractor
Knowledge Modelling Product Manager - Contract - Remote in the UK Remote - candidates may work from anywhere in the UK Contract Market rate - via Umbrella Role Overview The client is seeking an experienced Knowledge Modelling Product Manager to support the successful adoption of a semantic abstraction layer across its central platform team and multiple business units. This role requires strong, hands-on knowledge of modelling expertise and the ability to bridge the gap between semantic technologies and the operational needs of teams that are new to ontology-based approaches. You will work closely with platform architects, engineers, data specialists and subject-matter experts to establish modelling standards, develop canonical domain models and build sustainable semantic-modelling capability across the organisation. You will work closely with: Data Portfolio Managers Semantic Platform Administrators Platform Architects and Engineers Data Modellers Data Engineers Subject-Matter Experts Business-unit stakeholders Key Responsibilities 1. Client Platform Team Enablement Train platform architects and engineers in semantic-modelling fundamentals, including OWL, RDF/RDFS, SKOS, SPARQL, graph-database operation, ontology-design patterns and common modelling pitfalls. Guide the engineering team in the implementation of ontology-management services, ensuring that technical decisions support the intended business outcomes. Establish semantic standards for the Client Platform, including naming conventions, annotation requirements, foundational ontology-alignment patterns and shared vocabularies. Work collaboratively with relevant architecture, data and governance teams to ensure consistent implementation of these standards. Provide expert guidance to technical teams without taking ownership of software engineering or platform-infrastructure delivery. 2. Business-Unit Enablement Work directly with subject-matter experts and data modellers across the organisation to develop their first canonical domain models. Facilitate structured workshops in which subject-matter experts articulate their domain knowledge and data modellers translate it into formal semantic-model decisions. Apply a hands-on and pragmatic approach rather than relying on theoretical training alone. Build capability progressively by initially working alongside teams, then coaching them and ultimately enabling them to operate independently. Develop reusable guidance materials, including: Modelling guides Worked examples based on real business domains Ontology-design patterns Decision frameworks for common modelling questions Help teams make practical decisions about model granularity, class hierarchies, properties, relationships and reuse. 3. Stakeholder Engagement and Adoption Explain the business value of the semantic layer to non-technical stakeholders using clear, outcome-focused language. Present tangible examples of how well-designed canonical models support business and technology outcomes. Address stakeholder concerns honestly, including where semantic approaches introduce additional effort and where that investment is expected to deliver value. Promote adoption across culturally and technically diverse stakeholder groups. Demonstrate how semantic modelling can improve: Data findability Interoperability Intellectual-property protection Cross-business data understanding Application-development Data-product descriptions Integration efficiency and cost 4. Modelling Quality Assurance Act as the expert reviewer within the model-publication process during the initial increments of the Client Platform. Review submitted models for: Structural quality Standards compliance Pattern adherence Reusability Interoperability readiness Define clear and practical criteria for what a high-quality canonical domain model looks like. Produce concrete examples that teams can use as reference models. Identify and challenge modelling anti-patterns before they become Embedded across the organisation. Ensure that data and governance policies are reflected correctly in the models, while recognising that policy ownership sits with the relevant governance teams. Essential Experience Significant hands-on ontology-development experience within an industrial, commercial or enterprise environment. Practical expertise in: Web Ontology Language - OWL Resource Description Framework - RDF RDF Schema - RDFS Simple Knowledge Organization System - SKOS SPARQL OWL API Experience designing, developing and maintaining enterprise semantic models or canonical domain models. Experience operating open-standards graph databases, including configuration, data loading, querying and performance considerations. Demonstrable ability to translate complex knowledge from subject-matter experts into formal semantic models. Experience introducing semantic technologies to teams with limited or no previous exposure to ontology-based approaches. Evidence of achieving successful adoption and capability transfer, rather than solely delivering technical artefacts. Experience facilitating requirements-gathering and domain-modelling workshops with technical and non-technical participants. Essential Skills Strong ontology-engineering and knowledge-modelling capability. Ability to explain semantic-modelling concepts to non-technical audiences without unnecessary jargon. Ability to work with specialist domain experts and extract the knowledge required to produce coherent, usable models. Strong requirements-analysis and stakeholder-management skills. Comfortable working in an environment where the technology and operating model are still developing. Pragmatic, patient and able to provide clarity in ambiguous situations. Strong views on modelling quality, balanced with the flexibility to respond to practical delivery constraints. Excellent written communication skills, with the ability to produce concise and usable guidance rather than academic documentation. Clear and straightforward verbal communication. Comfortable working across multidisciplinary and multicultural teams. Able to influence technical decisions without direct ownership of engineering delivery. Desirable Experience Broader graph-database experience. Requirements-life cycle management. Product-management or platform-product experience. Data-governance implementation. Enterprise data architecture. Team leadership, coaching or capability development. Experience working across multiple business units or federated organisations. Scope of the Role The role is intended to build lasting capability within the platform team and wider business. The objective is to move progressively from hands-on delivery to coaching and advisory support as internal teams become more autonomous. This is.*not a software-engineering role*. The contractor will not be responsible for building the underlying platform infrastructure but must have sufficient technical expertise to guide the teams responsible for its delivery. This is.*not a data-governance ownership role*. Governance policies will be owned by the appropriate governance stakeholders; this role will help ensure those policies are implemented effectively within semantic models and platform practices.
Product Manager - Clear Derivatives (OTC & ETD) - Contract - London/Hybrid - £520pd Inside IR35 Location: Central London (3 days on-site) Duration: 6 months initially Rate: £520/day (Inside IR35) Overview Seeking an experienced Product Manager with strong knowledge of OTC and ETD derivatives to lead product initiatives within a regulated financial environment. The role bridges stakeholders and technology teams, ensuring delivery of high-value projects in line with business goals. Key Responsibilities Drive product planning, delivery, and life cycle management in an Agile framework. Act as the link between business, technology, and external partners. Produce and manage documentation (requirements, specifications, roadmaps). Manage risks, priorities, and deadlines effectively. Communicate clearly with technical and non-technical stakeholders. Requirements Proven Product Management experience in financial services (OTC & ETD). Strong knowledge of Agile (Scrum/Kanban). Excellent stakeholder management and communication skills. Experience producing and managing project documentation. Strong risk and time management in regulated environments.
02/10/2025
Contractor
Product Manager - Clear Derivatives (OTC & ETD) - Contract - London/Hybrid - £520pd Inside IR35 Location: Central London (3 days on-site) Duration: 6 months initially Rate: £520/day (Inside IR35) Overview Seeking an experienced Product Manager with strong knowledge of OTC and ETD derivatives to lead product initiatives within a regulated financial environment. The role bridges stakeholders and technology teams, ensuring delivery of high-value projects in line with business goals. Key Responsibilities Drive product planning, delivery, and life cycle management in an Agile framework. Act as the link between business, technology, and external partners. Produce and manage documentation (requirements, specifications, roadmaps). Manage risks, priorities, and deadlines effectively. Communicate clearly with technical and non-technical stakeholders. Requirements Proven Product Management experience in financial services (OTC & ETD). Strong knowledge of Agile (Scrum/Kanban). Excellent stakeholder management and communication skills. Experience producing and managing project documentation. Strong risk and time management in regulated environments.
TypeScript developer (Frontend) - Senior - Contract - London/Hybrid - £430pd Inside IR35 12 months £430pd Inside IR35 1 day per week on site in London We are looking for a highly skilled TypeScript Developer to join our team and play a pivotal role in the implementation of a new project. You will be instrumental in shaping our shift-left testing strategy, ensuring quality and resilience are Embedded from the very beginning of development. With strong expertise in Next.js, you will work across the stack-from building modern, performant Front End experiences to designing and integrating APIs and microservices. You will take ownership of delivering secure, scalable, testable, and maintainable solutions that meet the highest engineering standards. Key Responsibilities: Design, build, and maintain full-stack applications using TypeScript, Next.js, Node.js, and React. Champion the shift-left approach by embedding quality early in the SDLC, writing unit, integration, and end-to-end tests alongside feature development. Implement and maintain automated test suites using Playwright, Jest, and React Testing Library to ensure reliability and regression coverage. Collaborate with cross-functional teams (UX/UI designers, product owners, QA, DevOps) to deliver well-scoped, high-quality features. Contribute to system architecture discussions, ensuring scalability, security, and performance. Build reusable components, libraries, and utilities to accelerate development across the team. Participate in code reviews, ensuring adherence to best practices, coding standards, and security guidelines. Work closely with DevOps to enhance CI/CD pipelines, enabling continuous integration, test automation, and smooth deployments. Monitor application performance and troubleshoot issues across the stack, proactively improving system resilience. Stay up to date with industry trends and emerging tools in TypeScript, Next.js, and test automation to continuously raise the bar of engineering excellence. Required Skills and Experience: Proven professional experience in Front End software development. Next.js (v14+) Gitlab pipelines Broad knowledge & practical expertise in Front End technologies including JavaScript, TypeScript, React, and Node.js. Strong understanding of Advanced Typescript concepts (eg Generics, Mapped & Utility types etc.) Knowledge of REST APIs and tools for testing API endpoints. Understanding of Agile software development methodologies and shift-left testing practices. Required experience in Design & developing automated tests for Front End and Back End services using TypeScript and modern test frameworks (Playwright, React-test library). Excellent communication and collaboration skills. Computer science, software engineering, or relevant technical background required. Desirable: Experience with maintaining mono-repo (eg Nx, Lerna or Turborepo) Familiarity with containerised environments (eg Docker, Kubernetes). Exposure to monitoring and observability tools (eg DataDog, Grafana). Experience in performance or accessibility testing (eg Playwright Lighthouse)
02/10/2025
Contractor
TypeScript developer (Frontend) - Senior - Contract - London/Hybrid - £430pd Inside IR35 12 months £430pd Inside IR35 1 day per week on site in London We are looking for a highly skilled TypeScript Developer to join our team and play a pivotal role in the implementation of a new project. You will be instrumental in shaping our shift-left testing strategy, ensuring quality and resilience are Embedded from the very beginning of development. With strong expertise in Next.js, you will work across the stack-from building modern, performant Front End experiences to designing and integrating APIs and microservices. You will take ownership of delivering secure, scalable, testable, and maintainable solutions that meet the highest engineering standards. Key Responsibilities: Design, build, and maintain full-stack applications using TypeScript, Next.js, Node.js, and React. Champion the shift-left approach by embedding quality early in the SDLC, writing unit, integration, and end-to-end tests alongside feature development. Implement and maintain automated test suites using Playwright, Jest, and React Testing Library to ensure reliability and regression coverage. Collaborate with cross-functional teams (UX/UI designers, product owners, QA, DevOps) to deliver well-scoped, high-quality features. Contribute to system architecture discussions, ensuring scalability, security, and performance. Build reusable components, libraries, and utilities to accelerate development across the team. Participate in code reviews, ensuring adherence to best practices, coding standards, and security guidelines. Work closely with DevOps to enhance CI/CD pipelines, enabling continuous integration, test automation, and smooth deployments. Monitor application performance and troubleshoot issues across the stack, proactively improving system resilience. Stay up to date with industry trends and emerging tools in TypeScript, Next.js, and test automation to continuously raise the bar of engineering excellence. Required Skills and Experience: Proven professional experience in Front End software development. Next.js (v14+) Gitlab pipelines Broad knowledge & practical expertise in Front End technologies including JavaScript, TypeScript, React, and Node.js. Strong understanding of Advanced Typescript concepts (eg Generics, Mapped & Utility types etc.) Knowledge of REST APIs and tools for testing API endpoints. Understanding of Agile software development methodologies and shift-left testing practices. Required experience in Design & developing automated tests for Front End and Back End services using TypeScript and modern test frameworks (Playwright, React-test library). Excellent communication and collaboration skills. Computer science, software engineering, or relevant technical background required. Desirable: Experience with maintaining mono-repo (eg Nx, Lerna or Turborepo) Familiarity with containerised environments (eg Docker, Kubernetes). Exposure to monitoring and observability tools (eg DataDog, Grafana). Experience in performance or accessibility testing (eg Playwright Lighthouse)
