1 to 25 of 56 Taxonomies Jobs in the UK excluding London

structured and unstructured - is leveraged to drive commercial and operational value. Define the firm’s target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised More ❯

structured and unstructured - is leveraged to drive commercial and operational value. Define the firm’s target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised More ❯

structured and unstructured - is leveraged to drive commercial and operational value. Define the firm’s target data architecture, identifying master data sources and ensuring consistency of data definitions and taxonomy across business domains. Collaborate with the Head of Strategy and Architecture and the Head of Innovation, as well as key stakeholders across the firm to design and implement a modernised More ❯

and data governance standards. Lead the data modeling efforts for Product entities including Item, Variant, Product Hierarchy, Pricing, Attributes, and Relationships. Collaborate with business stakeholders to define data standards, taxonomies, and hierarchies for product data. Integrate PIM systems with MDM platforms and downstream applications (e.g., ERP, CRM, data platform). Define and implement data quality rules , match & merge logic , and More ❯

and data governance standards. Lead the data modeling efforts for Product entities including Item, Variant, Product Hierarchy, Pricing, Attributes, and Relationships. Collaborate with business stakeholders to define data standards, taxonomies, and hierarchies for product data. Integrate PIM systems with MDM platforms and downstream applications (e.g., ERP, CRM, data platform). Define and implement data quality rules , match & merge logic , and More ❯

Key Responsibilities/Skills Lead the data modelling efforts for Product entities including Item, Variant, Product Hierarchy, Pricing, Attributes, and Relationships. Collaborate with business stakeholders to define data standards, taxonomies, and hierarchies for product data. Integrate PIM systems with MDM platforms and downstream applications (eg, ERP, CRM, data platform). Define and implement data quality rules, match & merge logic, and More ❯

and KPIs aligned to governance strategies. Integrate data quality tooling with metadata, lineage, and governance platforms to enhance visibility and traceability. Support efforts to define and align reference data taxonomies and consumption models across business functions. About You 6+ years’ experience in data management, analytics, or governance roles, ideally within financial services. In-depth understanding of data quality, metadata management More ❯

and KPIs aligned to governance strategies. Integrate data quality tooling with metadata, lineage, and governance platforms to enhance visibility and traceability. Support efforts to define and align reference data taxonomies and consumption models across business functions. About You 6+ years’ experience in data management, analytics, or governance roles, ideally within financial services. In-depth understanding of data quality, metadata management More ❯

maintain data governance policies and procedures in line with regulatory requirements. Collaborate with data owners and stewards to define, monitor, and improve data quality metrics. Maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training to raise awareness of data governance principles More ❯

maintain data governance policies and procedures in line with regulatory requirements. Collaborate with data owners and stewards to define, monitor, and improve data quality metrics. Maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training to raise awareness of data governance principles More ❯

maintain data governance policies and procedures in line with regulatory requirements. Collaborate with data owners and stewards to define, monitor, and improve data quality metrics. Maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training to raise awareness of data governance principles More ❯

or Retail. Expertise in Product Information Management (PIM), Master Data Management (MDM), Product Lifecycle Management (PLM) or equivalent product data systems. Strong knowledge and technical understanding of data governance, taxonomy, and data quality principles. Experience integrating PIM/MDM solutions with ERP, eCommerce, and digital platforms. Strong awareness of emerging AI trends and the ability to apply them pragmatically to More ❯

high-value data assets—making them FAIR and analytics-ready. What you'll do Curate, organise and standardise data to enable interoperability and insight. Develop and maintain controlled vocabularies, taxonomies and ontologies. Assess data quality, perform profiling and validation checks. Collaborate with scientists, domain experts and data specialists. Support analytics and reporting teams by providing curated datasets. What we're More ❯

behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into More ❯

behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into More ❯

behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into More ❯

behaviour Define and implement data standards, policies and procedures Master Data Development Contribute to the design and implementation of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into More ❯

End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience More ❯

End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience More ❯

End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience More ❯

duplicate parts and promote standardization. Interact with customer SMEs to ensure good understanding on their application landscapes, requirements & current challenges. Familiar with capabilities around metadata management, classification systems, part taxonomy, Should Cost assessments, Maintaining Product Score Card, Workflow Integrations to route to right engineer for reviewing the similar parts and take corrective actions, Streamlined lead time assumptions for the RPM More ❯

evolve security architecture principles, standards, strategy, and governance aligned to business objectives. -Develop and maintain conceptual and logical security landscapes across application and technology domains. -Create and manage security taxonomies, glossaries, and component definitions. -Evaluate and recommend cyber security technologies considering risk, scalability, performance, and cost. -Oversee secure implementation of applications and technologies. -Perform secure by design impact assessments on More ❯

evolve security architecture principles, standards, strategy, and governance aligned to business objectives. -Develop and maintain conceptual and logical security landscapes across application and technology domains. -Create and manage security taxonomies, glossaries, and component definitions. -Evaluate and recommend cyber security technologies considering risk, scalability, performance, and cost. -Oversee secure implementation of applications and technologies. -Perform secure by design impact assessments on More ❯

Manage and secure Microsoft Entra ID tenants with strong RBAC and security configurations. Implement Zero Trust security solutions protecting identities, devices, and data. Collaborate with stakeholders to define label taxonomy, hierarchy, and labelling workflows. Ensure seamless integration with Microsoft 365 services including Exchange Online, SharePoint Online, OneDrive, and Teams. Develop documentation, runbooks, and training materials to support label deployment and More ❯

Manage and secure Microsoft Entra ID tenants with strong RBAC and security configurations. Implement Zero Trust security solutions protecting identities, devices, and data. Collaborate with stakeholders to define label taxonomy, hierarchy, and labelling workflows. Ensure seamless integration with Microsoft 365 services including Exchange Online, SharePoint Online, OneDrive, and Teams. Develop documentation, runbooks, and training materials to support label deployment and More ❯