76 to 100 of 262 Metadata Jobs in the UK excluding London

tool for modern analytical workloads. Direct Lake and other Fabric-native patterns where they provide a genuine benefit. Better automated data-quality checks, lineage, metadata, ownership and platform governance. Reduced dependency on large opaque stored procedures over time, without destabilising the operational systems that rely on them. Progressive migration away … SSIS, Analysis Services or migration from older Microsoft BI tooling. Azure Service Bus, Logic Apps, APIs or integration-heavy data flows. Data governance, lineage, metadata management or data-quality frameworks. How success looks Data pipelines are reliable, SQL problems are diagnosed properly, reporting has trusted inputs, difficult legacy logic becomes ...

models, decisions and traceability within enterprise repositories - Support data ownership, stewardship and federated governance approaches, clarifying global and domain decision rights - Embed data quality, metadata, lineage, classification, privacy, traceability and auditability into architecture and delivery - Shape shared-identifier, master-data and reference-data approaches for defined domains or workstreams - Shape … Strong understanding of data ownership, stewardship, data products, contracts and federated governance in enterprise environments - Experience applying data management disciplines including governance, data quality, metadata and lineage, with emphasis on traceability and auditability - Experience designing data architectures that meet regulatory, privacy, security, classification and retention requirements - Experience supporting data migration ...

models, decisions and traceability within enterprise repositories - Support data ownership, stewardship and federated governance approaches, clarifying global and domain decision rights - Embed data quality, metadata, lineage, classification, privacy, traceability and auditability into architecture and delivery - Shape shared-identifier, master-data and reference-data approaches for defined domains or workstreams - Shape … Strong understanding of data ownership, stewardship, data products, contracts and federated governance in enterprise environments - Experience applying data management disciplines including governance, data quality, metadata and lineage, with emphasis on traceability and auditability - Experience designing data architectures that meet regulatory, privacy, security, classification and retention requirements - Experience supporting data migration ...

models, decisions and traceability within enterprise repositories - Support data ownership, stewardship and federated governance approaches, clarifying global and domain decision rights - Embed data quality, metadata, lineage, classification, privacy, traceability and auditability into architecture and delivery - Shape shared-identifier, master-data and reference-data approaches for defined domains or workstreams - Shape … Strong understanding of data ownership, stewardship, data products, contracts and federated governance in enterprise environments - Experience applying data management disciplines including governance, data quality, metadata and lineage, with emphasis on traceability and auditability - Experience designing data architectures that meet regulatory, privacy, security, classification and retention requirements - Experience supporting data migration ...

Experience Proven experience designing, implementing, or enhancing Data Governance Frameworks within large organisations. Strong understanding of data governance principles, data lifecycle management, data quality, metadata management, and compliance requirements. Experience establishing or embedding data stewardship and data ownership models. Demonstrable expertise in data ethics, including the development of policies, impact ...

similar) for data integration, pipeline development, and automation. Experience with modern data architectures, including data lakes/warehouses, governance frameworks, and master/metadata management. Hands-on experience with Generative AI and LLMs, including RAG, embeddings, vector search, GraphRAG, prompt engineering, and agent frameworks (e.g. LangChain, LlamaIndex). Strong stakeholder ...

principles. Experience working in Agile/Kanban delivery teams using tools such as Jira . Strong documentation skills using platforms such as Confluence and metadata/cataloguing tools such as Purview . Strong communicationand collaboration skills, especially in multi-disciplinary data teams. Evidence of cyber security and information governance training ...

data are accurate, accessible, and trustworthy across the Roche Product Development lifecycle. Drive Data Quality & Lineage: Maintain and enrich cataloging systems, data dictionaries, and metadata across key Data Domains to ensure consistency and findability in alignment with FAIR principles. Enable Master Data Solutions: Support the operation, implementation, and ongoing maintenance ...

products, capabilities or strategic domains. Experience translating enterprise strategy into coordinated roadmaps, investments and measurable outcomes. Strong understanding of data governance, data quality, metadata, semantic models and interoperability. Experience enabling analytics, automation or AI through trusted enterprise data. Experience navigating complex cross-functional priorities and trade-offs. Strong leadership, coaching ...

collaborating closely with ML engineering, data engineering, and UX. Bridge Platform & AI Integration: Partner with upstream data and platform teams to ensure seamless ingestion, metadata promotion, and data contracts across ELN, spreadsheet, and inventory data. Govern Compliance, Security & Unit Economics: Ensure permission-aware retrieval and tenant isolation by design (supporting ...

scientific content on a scale. You'll work on services that transform complex, unstructured manuscripts into structured, meaningful information and knowledge through document transformation, metadata extraction, content enrichment, and entity recognition. You'll help turn this intelligence into capabilities that power smarter submission and editorial experiences, from automating traditionally manual ...

tool ecosystems, capability modelling, discoverability, governance, versioning, backward compatibility, multi-tenancy isolation. Enterprise platform depth.Oracle PL/SQL, OData, and comfort working inside large metadata-driven systems wherebehaviouris configured rather than coded. Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework,LangGraph,AutoGen,PydanticAI, the OpenAI Agents ...

clinical datasets that enable machine learning and advanced statistical methods. Familiarity with managing and integrating single-cell and spatial omics data, including formats, metadata standards, and scalable storage. Publication record or presentations demonstrating scientific impact. Experience leading projects or supervising team members. Closing Date for Applications - 25/11/ ...

customer-facing data products. What We’re Looking For Proven experience in Data Governance or Data Management. Strong understanding of data quality, ownership, metadata, and governance principles. Experience working with both technical and non-technical stakeholders. Knowledge of cloud-based data environments. Experience with Unity Catalog is essential. Excellent communication ...

model version are retained. Contribute to entity resolution using identifiers and similarity methods, maintaining evidence behind matches. Support semantic and hybrid search using embeddings, metadata filters, and graph queries, evaluating results against representative examples with explanations grounded in source evidence. Write tests and maintain evaluation examples for built components, considering ...

embed this into the active design and asset verification lifecycle.* Data Management: Own the strategy for the Common Data Environment (CDE), enforcing strict metadata governance, asset data drops (COBie), and information security protocols across the engineering practice.**Commercial, Bidding & Client Relations*** Formulate the digital and BIM execution strategies for major ...

embed this into the active design and asset verification lifecycle.* Data Management: Own the strategy for the Common Data Environment (CDE), enforcing strict metadata governance, asset data drops (COBie), and information security protocols across the engineering practice.**Commercial, Bidding & Client Relations*** Formulate the digital and BIM execution strategies for major ...

constraints. Desirable Knowledge of relevant architecture frameworks, notations and modelling tools, such as TOGAF, MODAF, ArchiMate or BizzDesign. Experience in data strategy, governance, modelling, metadata, standards or recognised data management good practice such as DAMA-DMBOK. Knowledge of cloud, hybrid and on-premise environments, systems integration and modern data-sharing ...

embeddings, vector databases, retrieval and search technologies, memory architectures, grounding strategies. Enterprise platform depth. Oracle PL/SQL, OData, and comfort working inside large metadata-driven systems where behaviour is configured rather than coded. Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, AutoGen, PydanticAI, the OpenAI ...

both human users and machine interpretation, you should have: A strong understanding of technical SEO fundamentals Experience improving site structure and internal linking, Metadata and indexing and page performance Familiarity with structured content and schema markup (e.g. Schema.org) An understanding of how content clarity, structure and authority influence AI‐driven ...

best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data. Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data assets within the Funds ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data … data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing Excellent communication skills with the ability to convey complex technical concepts to diverse audiences, including executive leadership Experience with data quality ...

access controls required to use these technologies responsibly. Assess whether data is ready for AI and agent‐based use cases, considering data quality, metadata, access permissions, semantic consistency, governance and traceability before solutions are progressed. Work collaboratively with colleagues responsible for AI and data governance, ensuring experimentation remains controlled, transparent … golden‐record capabilities. Power BI experience, including semantic modelling, DAX, dashboard performance and effective data visualisation. Knowledge of Microsoft Purview, including data lineage, metadata, sensitivity classification and data access controls. Experience working with established data governance, stewardship or data ownership frameworks. Exposure to AI‐enabled data products or agents, particularly ...

Oxford University Press is seeking a Publishing and Content Domain Architect to lead governance of reference data and semantic metadata, align data models with business needs, and drive standardization across publishing and product domains. The role requires collaboration with SMEs, mapping data formats, enabling data quality, and shaping the data ...

Data Governance Engineer with strong AWS expertise to support a strategic programme enabling trusted data publication across our cloud platforms. You will design governance, metadata, lineage and data quality capabilities to improve dataset assurance and publication readiness. Join Smart DCC to shape data governance practices that drive better decision-making ...