1 to 25 of 48 Taxonomies Jobs in 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 ❯

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 ❯

GCP ). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger for continuous learning. 🌍 Why Join Luxoft More ❯

GCP ). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger for continuous learning. 🌍 Why Join Luxoft 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 ❯

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 ❯

Criteria: Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, Sparx EA) and version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance Experience working with internal customers to define data-relevant use cases and success criteria Strong communication and stakeholder engagement skills More ❯

Criteria: Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, Sparx EA) and version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance Experience working with internal customers to define data-relevant use cases and success criteria Strong communication and stakeholder engagement skills 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 ❯

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 ❯

what we do. To be successful in this role you should have: Strong hands-on IAM engineer background with broad expertise across the IAM domain, including tooling, products, protocols, taxonomy, identity management, authentication, authorization and identity federation. Expertise with single sign on, OAuth2, OIDC, PKI, PSD2 SCA knowledge and possession based authentication. ForgeRock developer experience with PingGateway, PingAM, PingIDM and More ❯

experience of Drupal 6 and 7 (and anything you know of Drupal 8 is an advantage) Detailed knowledge of Drupal, whether it be configuring modules such as Views, Panels, Taxonomy and Feeds, taking advantage of distributions and installation profiles, creating custom entities with Entity API (or CCK) or rolling your own custom modules to take advantage of Drupal's APIs More ❯

Key Responsibilities: Analyse data from various sources (OneDrive, SharePoint, Teams channels etc. ) to identify redundant, obsolete, and trivial (ROT) content. Map file server structures and Exchange configurations to Microsoft 365 destinations, ensuring alignment with best practices. Conduct pre- and post More ❯