351 to 375 of 639 Metadata Jobs in the UK

compliant, with clear ownership and escalation paths.• Serve as the ServiceNow Knowledge Management subject matter expert, owning enterprise design decisions related to workflows, taxonomy, metadata, permissions, and lifecycle management.• Act as the final decision authority on global knowledge standards and publishing exceptions when required.• Use analytics to identify knowledge gaps ...

internal services to ensure compliance requirements are enforced at payload and workflow level.Define field-level validation logic for account data, beneficiary information, transaction metadata, and payment references.Structure exception handling and rejection logic across payment and account-related workflows.Map end-to-end process flows (including exception and control points) to ensure ...

risk, operational risk, controls management, data governance or related disciplines within financial services Sound understanding of data management concepts including data governance, data quality, metadata, lineage, critical data elements, stewardship, data retention and data security Experience in risk assessment, control design, control monitoring, issue management, governance and escalation within ...

summarization, question answering, and evidence-grounded insight generation.Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.Write production-ready Python ...

optimization insights, recommendations and best practices to build capability and encourage adoption of approved standards.Knowledge and Experience RequiredTechnical KnowledgeStrong understanding of SEO fundamentals, including metadata, content structure, internal linking, keyword optimization and search intent.Knowledge of technical SEO principles, including crawlability, indexing, site architecture and Core Web Vitals.Understanding of AI-driven ...

enabling precision medicine, biomarker discovery, and hypothesis validation Work with science stakeholders to understand analytics needs and shape data standards accordingly Create data catalogs, metadata standards, and usage guidelines; establish feedback mechanisms for continuous improvement Standards & Data Product Strategy Define FAIR-compliant standards for translational/biomarker data (omics, imaging ...

growth-focused customer communications.Recent hands-on experience with Braze is needed for the role, alongside practical experience building and managing CRM campaigns, segmentation, metadata, scheduling, and audience setupProven experience creating CRM governance and enabling other teams to use CRM effectively across an organisationStrong data literacy, including analysing campaign or email ...

move quickly while maintaining reliability and scalability.This role focuses on building and optimizing systems for large-scale multimodal datasets, including video, embeddings, and metadata, ensuring they are fast, reliable, and production-ready.The RoleWe're looking for experienced ML Systems Engineers to join our Research Services team and help build ...

tools, and frameworks and contribute recommendations for experimentation and adoption.Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts.Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows.Search, Retrieval & RAG SystemsDesign, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.Contribute ...

validation, feature engineering and production deployment patterns for engineering and manufacturing use cases.Retrieval and knowledge systems, including RAG, embeddings, vector search, hybrid search, reranking, metadata and source traceability.AI evaluation, MLOps and lifecycle management, including test sets, hallucination testing, model and version governance, CI/CD, monitoring, drift detection, rollback, observability ...

over the lifecycle of corporate data assetsUsing categories of products that can be used to collect, integrate, store, visualise and govern data and metadataDefine metadata to provide search ability and governance (including Records Management) for unstructured data.Not only will your team be directly making a huge impact upon the systems ...

Ensure consistency across all learning formats, including self-paced courses, VILTs, webinars, and knowledge base educational content. Own content governance practices, including version control, metadata standards, content audits, and quality reviews. Partner with Academy and Product Trainer roles to ensure technical and instructional standards are met prior to release. Cross ...

Experienced in preparing and validating Revit models for use in digital and AI-enabled workflows, including managing spaces and rooms, verifying asset classification and metadata, and supporting conversion from Revit to IFC formats.Broad Industry Experience: Exposure to a range of building types and project sectors, with experience working across different ...

governance function, sitting within a technology risk and controls team. We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will work closely with data governance, architecture, technology … risk and compliance teams, turning complex regulatory and metadata requirements into robust models and platform-ready solutions. What You'll Do Design, enhance and maintain asset models within a leading metadata management platform, configuring asset types, relations, attributes, domains and workflows. Develop high-quality Python solutions for data modelling ...

from data across the organisation. The Role: Define and maintain enterprise data architecture standards, policies, and governance frameworks. Own logical and physical data models, metadata, data flows, and data lifecycle management. Lead architectural assurance across strategic projects and programmes. Drive best practice across data modelling, master data management, metadata management … mentoring and thought leadership. Requirements: Proven experience in a Senior Data Architect or similar enterprise-level role. Strong expertise in data governance, data quality, metadata management, data integration, analytics, and data security. Advanced knowledge of conceptual, logical, and physical data modelling. Experience producing architecture artefacts including ERDs, data dictionaries, taxonomies ...

fragmented across legacy systems, suppliers, operational silos, secureenvironmentsor regulated business processes. Yourspecialismsshould cover data governance, master data management strategy, data quality, data ownership, metadata, information management, DLP and the data-control aspects of AI readiness. Methods is appointing seven Domain Experts, each matched to a core strategic offering. Client-Side … data governance operating models, including decision rights, governance forums, data ownership, stewardship roles, escalationroutesand accountability. Develop data policies, standards and controls covering data quality, metadata, lineage, cataloguing, access, sharing, retention, classification, acceptableuseand lifecycle management. Shape master data management and reference data strategies, including golden source principles, matching, survivorship, stewardship,integrationand ...

reduce future failures Drive operational efficiency by eliminating the cost of poor data quality through common tooling, frameworks, and proactive control development Enrich the metadata and semantic layer of existing data assets to improve discoverability, usability, and value for AI applications and natural language query capabilities Accelerate adoption of mesh … data architecture by uplifting existing data assets with improved metadata, data quality scores, and lineage information Develop and deliver data product prototypes that demonstrate the value of enriched data assets and reduce consumer friction caused by incomplete documentation or poor catalogue quality Required qualifications, capabilities, and skills Formal training ...

controls to reduce future failuresDrive operational efficiency by eliminating the cost of poor data quality through common tooling, frameworks, and proactive control developmentEnrich the metadata and semantic layer of existing data assets to improve discoverability, usability, and value for AI applications and natural language query capabilitiesAccelerate adoption of mesh data … architecture by uplifting existing data assets with improved metadata, data quality scores, and lineage informationDevelop and deliver data product prototypes that demonstrate the value of enriched data assets and reduce consumer friction caused by incomplete documentation or poor catalogue qualityRequired qualifications, capabilities, and skillsFormal training or certification on data engineering ...

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 Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits ...

Kimball methodologies. Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability. Manage logical and physical data models, including metadata, business glossaries, data flows, and data storage. Partner with Data Engineers, Analytics Engineers, and wider technology teams to deliver data solutions through an agile environment. … understanding of logical, physical, transactional, analytical, and relational data modelling approaches. Experience establishing architecture standards, governance frameworks, and data management best practices. Knowledge of metadata management, data quality, data governance, and master data management principles. Strong stakeholder management skills with the ability to influence both technical and business leaders. Experience ...

Kimball methodologies. Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability. Manage logical and physical data models, including metadata, business glossaries, data flows, and data storage. Partner with Data Engineers, Analytics Engineers, and wider technology teams to deliver data solutions through an agile environment. … understanding of logical, physical, transactional, analytical, and relational data modelling approaches. Experience establishing architecture standards, governance frameworks, and data management best practices. Knowledge of metadata management, data quality, data governance, and master data management principles. Strong stakeholder management skills with the ability to influence both technical and business leaders. Experience ...

CSRD.Continuously evolve the content model, quality standards and fit-for-purpose criteria for each product.Partner closely with Engineering and Product to evolve data models, metadata structures, workflow tooling and architecture that enable scalable, reusable and high quality data products.Design and continuously improve quality management frameworks, governance processes and operational controls … roadmap using a data-driven approach to prioritization.You'll need to have:4+ years* of demonstrated expertise in data management, including data quality, governance, metadata management, data modelling and lifecycle management.Deep knowledge of environmental regulatory reporting frameworks including SFDR, CSRD, EU Taxonomy, PAB, CTB and related disclosure requirements.Proven experience designing ...

knowledge. Analyse legacy data structures and identify standardisation, cleansing, transformation and remediation needs. Define data quality rules, validation logic and exception handling requirements. Support metadata-driven validation design, ensuring validation rules can be stored, maintained and audited against the canonical model. Analyse data quality issues and identify repeatable remediation patterns. … migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing delivery environments. Behaviours and Consulting Fit We are looking for someone who can operate with ...

business intelligence platforms. Working with senior team members, you will integrate a variety of source data, apply data modelling techniques, and contribute to metadata management and technical documentation to ensure data assets are well understood and properly governed. You will apply your knowledge of SQL and related tooling to deliver … action within your own work area. Integrate a variety of source data, using judgement and guidance to determine the appropriate approach, and contribute to metadata management and documentation. Support the growth of the team by keeping abreast of market and industry trends and sharing knowledge and experience with colleagues. ...

automated workflows for moving and processing data using Palantir Foundry tools.Optimising data systems for performance, scalability, reliability, and monitoring within Palantir Foundry.Data governance, including metadata management, data quality, and lineage tracking, specifically within Palantir Foundry's capabilities.Building and maintaining military workflows in Palantir GothamWe are specifically looking for candidates with … such as Python and TypeScript.Understanding full development lifecycle, SDLC concepts, version control, and CI/CD pipelines for data solutions.Knowledge of data security, governance, metadata management, and master data principles, with specific experience applying these across the Palantir stack.Communication skills, ability to understand business requirements and translate to technical data ...