176 to 200 of 222 Metadata Jobs in England

schemas and master data models, including party structures, ownership hierarchies and matching and merging rules. Produce source-to-target mappings and transformation logic, using metadata from existing platforms to inform integration and migration. Map business capabilities, applications, data lineage and technology lifecycles. Design integration and data abstraction layers across … enterprise architecture platforms such as LeanIX, Ardoq or Bizzdesign, supported by relevant architecture methods such as TOGAF or ArchiMate. Experience with data cataloguing and metadata extraction tools, such as Collibra and Safyr. A track record of designing data structures and integrations across platforms such as SAP S/4HANA, Oracle ...

data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering. Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks. … processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management. Experience leading technical teams and mentoring architects, engineers, and other data professionals. Ability to engage, influence, and build credibility with senior business and technical ...

data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering. Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks. … processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management. Experience leading technical teams and mentoring architects, engineers, and other data professionals. Ability to engage, influence, and build credibility with senior business and technical ...

architectures, including generative AI, large language models, retrieval approaches and agentic AI. Deep understanding of enterprise data capabilities, including data platforms and products, metadata, data quality, governance and modern data architecture. Demonstrated ability to translate AI use cases and emerging technologies into enterprise data, technology and operating-model strategies … with executive and non-technical audiences. What Would Make You Stand Out: Experience working in financial markets. Experience applying AI to transform data management, metadata, governance, data quality, or data operations. Why Fitch? At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network ...

corporate hierarchies and ownership, and the knowledge graph that connects them. Get hands-on with the data. Define entity and relationship models, ontologies and metadata standards; profile and investigate data; shape matching and linkage logic; and write detailed requirements and acceptance criteria. Build deep expertise in Fitch's data, products … data AI-ready. Expose entities and relationships to LLMs and AI agents through graph services, APIs and emerging protocols such as MCP, with the metadata and provenance that let agents discover, navigate and trust them. Define and track data quality measures such as accuracy, coverage, fill rates and timeliness, alongside ...

frontiers of knowledge. You will work with vast, complex, and heterogeneous data - from scientific publications and raw research datasets to biomedical content, citations, metadata, ontologies, taxonomies, knowledge graphs, multilingual content, and domain-specific data across the full spectrum of scientific disciplines. This is AI with purpose: helping researchers advance science … without compromising quality. You may work with: Work with diverse scientific, technical, and scholarly data sources, including publications, abstracts, full-text content, research datasets, metadata, citations, author networks, affiliations, journals, conferences, and institutional information across multiple disciplines. Develop AI-powered knowledge and discovery systems that leverage knowledge graphs, ontologies, taxonomies ...

high expectations, integrity, innovation and a willingness to challenge consensus.Our Unified Platform (UP) organization builds and offers managed data services, shared infrastructure, and metadata management systems that underpin our common query layer and power batch and streaming pipelines that power teams across DRW. As a Staff Engineer focused … around patterns that uphold the platform vision across the data ecosystem. Own the strategy for large-scale data governance and build platform capabilities for metadata management, discovery, lineage, schema evolution, and data quality. Partner with security and data stakeholders on access controls and usage tracking. Troubleshoot distributed systems, contribute ...

their dashboards into an AI-ready form the agent can query cleanly and reliably. Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however the question is phrased. Knowledge Base Authoring – Author and maintain … your time, and make pragmatic trade-offs to deliver value with minimal supervision. What Would Make You Stand Out: Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms (e.g., Qlik ...

without formal authority Partner with Enterprise, Solution, Data and Security Architects to define and govern reusable integration patterns, interface principles, canonical or semantic models, metadata expectations and architecture decision records. Promote consistent information models, data contracts, naming, lineage and contextualization practices, including alignment with enterprise ontology, knowledge-graph and unified … challenges of connecting operational technology, site systems, enterprise applications and cloud or data environments. Experience applying data governance concepts including ownership, data contracts, metadata, lineage, quality, semantics and controlled access. Demonstrated ability to prioritise based on value, reuse, cost, risk, compliance, operational impact, capacity, and technical dependencies. Experience defining product ...

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience … building a first-in-class platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing (HPC). This metadata-forward, CI/CD-driven platform ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

challenge consensus.The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines delivering data across DRW. As a Senior Data Engineer … Back-Office personnel. You will own engineering projects and service components, work directly with platform users to solve technical problems, and contribute to metadata management and governance capabilities. This is a hands-on role combining technical design ownership, software development, production support, and mentorship within the broader platform architecture. ...

oversight of data products, integrations and data-sharing processes aligned to agreed standards and enterprise architecture. Define and maintain data models, schemas, message formats, metadata and data dictionaries to support consistent use of data across services. Work with architects, data teams, service managers and external partners to deliver secure, scalable … Degree-level education in a relevant subject, or substantial demonstrable experience, with evidence of continued professional development. Strong knowledge of data architecture, data modelling, metadata, lineage, interoperability and data governance. Experience designing and implementing APIs, integration patterns, data pipelines and secure data-sharing approaches. Good understanding of UK GDPR ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management . Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable: Experience in AI-related data preparation … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. WHAT YOU'LL LOVE ABOUT WORKING HERE As a Consultant/Senior Consultant, you will have the chance to shape responsible ...

clients to harness the value of data and AI. We advise across Data Governance, Strategy, Master Data Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates … standards, controls, ownership and stewardship models. Data Quality & Observability: working knowledge of profiling, rule definition, controls, monitoring, issue management, remediation and root-cause analysis. Metadata Management: experience with business glossaries, data catalogues, lineage, classification, metadata standards or data discovery processes and tools. Master & Reference Data Management: understanding of relevant principles ...

aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...

aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...

will ensure the EPM ecosystem directly powers strategic decision-making and group-wide reporting. Key Responsibilities EPM Strategy & Solution Architecture: Define dimensional models, metadata structures, business rules and governance frameworks aligned with the finance transformation roadmap. Implementation & Build: Partner with external implementation partners during project delivery; participate in model design … Support seamless integrations between the EPM platform and core upstream systems, including NetSuite (ERP), Workday, HubSpot, data warehouses and BI tools. Lead data mapping, metadata pipeline standardisation and historical reconciliations prior to go-live. Automation & AI Innovation: Explore and leverage native EPM AI capabilities and automation frameworks to enhance forecasting ...

aware parsing of headings, tables and multi-column pages • Design and build retrieval pipelines for RAG, covering chunking strategy, embedding models, vector search and metadata design • Own the Postgres layer, including schema design, indexing (including vector indexes) and performance at scale • Build labelled ground-truth datasets and use them … including layout-aware parsing (headings, tables, multi-column pages) • RAG retrieval pipelines: Chunking strategy, embedding models, vector search (Postgres with pgvector or similar) and metadata design • Postgres: Schema design, indexing (including vector indexes) and performance at scale • Retrieval evaluation: Building labelled ground-truth datasets and measuring retrieval quality • Productionising code ...

aware parsing of headings, tables and multi-column pages • Design and build retrieval pipelines for RAG, covering chunking strategy, embedding models, vector search and metadata design • Own the Postgres layer, including schema design, indexing (including vector indexes) and performance at scale • Build labelled ground-truth datasets and use them … including layout-aware parsing (headings, tables, multi-column pages) • RAG retrieval pipelines: Chunking strategy, embedding models, vector search (Postgres with pgvector or similar) and metadata design • Postgres: Schema design, indexing (including vector indexes) and performance at scale • Retrieval evaluation: Building labelled ground-truth datasets and measuring retrieval quality • Productionising code ...

flow integration and usage across the R&D ecosystem. Design, develop and maintain modular, end-to-end data-flows (spanning roles, interfaces, data and metadata, triggers and access) to integrate systems and data sources into trusted, reusable assets across R&D (including writing clean, readable code where required). Ensure … role. We are looking for a capable technical subject matter expert with experience of delivering sophisticated date-flow solutions. You will be confident with metadata ecosystems and agentic workforces (and related agentic decision-making processes). We are currently operating with Azure (but applicants with experience of similar systems ...

SharePoint Online architecture. Manage site creation, configuration, ownership, permissions, sharing controls, storage, versioning, restoration, archival, and deletion. Establish standards for site structure, naming, metadata, content types, site columns, navigation, and information architecture. Implement lifecycle controls for inactive, ownerless, duplicated, or non-compliant sites. Monitor service health, usage, adoption, storage, capacity … sites, Teams-connected sites, Microsoft 365 Groups, private and shared channel sites, and OneDrive. Strong knowledge of information architecture, including content types, site columns, metadata, managed terms, the Term Store, navigation, and search configuration. Experience managing tenant-level and site-level sharing controls, guest access, permission inheritance, and secure collaboration ...