226 to 250 of 297 Metadata Jobs in England

with enterprise architects, business analysts, data engineers, governance specialists, and business stakeholders, you will help deliver robust data solutions that support enterprise data catalogues, metadata management, and complex analytical and operational workloads. Key Responsibilities Design conceptual, logical, and physical data models for enterprise data platforms. Develop scalable and reusable data … operational business requirements. Design data structures across complex ETL and ELT environments, from raw ingestion through to curated and consumption layers. Maintain enterprise metadata, data dictionaries, and business glossaries. Ensure consistent application of enterprise data standards and governance frameworks. Design, develop, and maintain GraphQL APIs, schemas, and resolvers. Integrate GraphQL ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance KPIs … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly, transparently ...

integrate data solutions across multiple platforms and systems Lead data modelling, data flows, and system interoperability initiatives Drive best practice in data governance, metadata, and quality standards Translate business requirements into effective technical solutions Collaborate with architecture, engineering, and business teams to deliver value Ensure compliance with relevant regulations … Data Architect or in a senior data-focused role Strong background in data modelling, integration, and architecture frameworks Solid understanding of: Data governance & metadata management Enterprise architecture principles Regulatory and compliance requirements Experience with modern data platforms and cloud technologies Ability to engage with senior stakeholders and communicate complex ideas ...

integrate data solutions across multiple platforms and systems Lead data modelling, data flows, and system interoperability initiatives Drive best practice in data governance, metadata, and quality standards Translate business requirements into effective technical solutions Collaborate with architecture, engineering, and business teams to deliver value Ensure compliance with relevant regulations … Data Architect or in a senior data-focused role Strong background in data modelling, integration, and architecture frameworks Solid understanding of: Data governance & metadata management Enterprise architecture principles Regulatory and compliance requirements Experience with modern data platforms and cloud technologies Ability to engage with senior stakeholders and communicate complex ideas ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance KPIs … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly, transparently ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance KPIs … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly, transparently ...

Assess existing DPC codebase, application architecture, and deployment artifacts to replace local components with enterprise services. Enterprise Integration: Design seamless integration connectivity with enterprise metadata, lineage services, IAM, ITSM, and Azure DevOps CI/CD pipelines. Delivery Leadership: Own the end-to-end delivery plan across design, build, integration … Infrastructure: Azure Cloud Architecture, Infrastructure as Code (Terraform), and API-based integration patterns. Data & Databases: PostgreSQL, Graph Databases ( Neo4j , Kuzu ), and data mesh/metadata management platforms. Modern Tech Stack: Next.js 14, FastAPI (Python), Casbin RBAC, Pipeline Orchestration, Apache Iceberg, MCP AI Server Integration, and ODCS v2 Data Contracts layer. ...

analysis against internal policies and BCBS239 requirements. Agree remediation plans with business owners and track delivery through to completion. Maintain governance inventories and metadata using tools such as Collibra and/or Apparity. Champion governance standards and promote best practice across business functions. Deliver governance reporting, project updates and management … ideally have experience with: Analytics Governance or Enterprise Data Governance. BCBS239 or regulatory data governance programmes. End User Computing (EUC) Governance. Data cataloguing and metadata management. Collibra and/or Apparity. Governance frameworks, policies and controls. Data Quality, Data Lineage or Enterprise Data Management. Strong stakeholder management and the ability ...

data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage. Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master … governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands‐on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance. Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify ...

End Date Thursday 03 September 2026 Salary Range £85,493 - £100,580 We support flexible working – click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary ...

high-performance data solutions across Oracle, PostgreSQL, Cassandra, and YugabyteDB, for on-premise and cloud environments. Define data standards, governance frameworks, modelling conventions, and metadata strategies. Drive enterprise data strategy and contribute to architecture governance boards. Collaborate closely with architects, engineering teams, business stakeholders, and delivery leads. Assess legacy platforms … level domain, conceptual, logical, and physical data models. Expertise with data modelling tools, ideally ER/Studio or Hackolade. Strong understanding of enterprise integration, metadata management, and data governance. Exposure to cloud and hybrid data platforms is highly desirable. Financial services experience, particularly in capital markets, investment banking, trading platforms ...

practices and accountability Partner with BI, data architecture, and technology teams to embed governance into analytics, platforms, and transformation initiatives Oversee data quality frameworks, metadata management, and reference data strategies to improve data consistency and usability Define and govern data domains, ownership models, and governance standards across the organisation Provide … data governance frameworks Experience embedding governance into business as usual processes and influencing adoption across teams Expertise in data governance disciplines including data quality, metadata, data domains, and reference data management Hands on experience with governance tooling such as Collibra, Informatica, or Data360 Ability to work effectively in evolving ...

World‐Class Discovery Experience Lead the UX and service design vision — intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations — inspired by the best consumer marketplace patterns (Kaggle, Spotify … with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access — self‐service provisioning, entitlement workflows, one‐click integration with SageMaker, Databricks ...

digitalisation roadmap that modernises regulatory operations through workflow automation, structured data, and intelligent process design. Identify opportunities to automate manual regulatory tasks, such as metadata capture, submission tracking, Health Authority correspondence management, and lifecycle updates. Partner with IT and automation teams to implement robotic process automation (RPA), low‐code workflows … processing). Understanding of AI capabilities in regulated environments and ability to translate needs into AI‐enabled use cases. Expertise in master data management, metadata structures, data lineage, and ensuring accuracy, compliance, and audit readiness. Ability to align stakeholders on system and process changes with strong communication and change‐management ...

degree of initiative, independence, and problem solving capability Experience in EMEA, APAC or Americas company data markets Familiarity with GenAI driven data requirements and metadata rich data pipelines Additional languages beyond English is preferred Willingness to undertake occasional business travel Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm … contract management processes, and vendor performance frameworks Ensure Moody’s data supply is ready for GenAI driven use cases, including enhanced data quality and metadata transparency. Manage multiple parallel initiatives, ensuring timely execution under tight deadlines About the team At Data Estate, we focus on enhancing Moody's digital presence ...

documenting dependencies, migration sequencing, risks, parallel running needs, cutover considerations and retirement evidence.* Using AI-enabled tools to accelerate feed discovery, documentation, code and metadata analysis, dependency identification and production of draft architecture artefacts, with appropriate review by Lead Architects.* Capturing assumptions, risks, issues and decisions clearly, ensuring they … accelerator, with outputs checked before they are used to support architecture decisions or delivery artefacts.Expected uses include:* Accelerating analysis of legacy code, configuration, metadata, schedules, schemas, interface definitions and existing documentation.* Supporting feed documentation, dependency mapping, option development, risk identification and production of architecture artefacts.* Reusing agreed prompts, templates, patterns ...

Data & AI department, working across London and Sofia. The team is responsible for data ingestion, data governance, security master maintenance, data quality assurance, metadata curation, usage analysis and market data permissions. The function aims to improve Man’s investment data estate by building scalable data operations, accelerating data onboarding, improving … resolve data quality issues before they impact downstream users; drive automation of daily operational tasks. Support broader Data Management responsibilities including data onboarding, metadata curation, and governance as required. Required 5+ years’ experience in a market data, data operations or data management role at a proprietary trading firm, hedge fund ...

Matchtech in the United Kingdom is seeking an experienced Metadata Lead to drive the enterprise metadata capability. This role involves shaping how data is discovered and governed across the organization, working closely with various stakeholders including Data Owners and IT teams. The successful candidate will have strong expertise in Collibra ...

seeking a highly hands-on, operational Data Governance Manager. This role requires a proactive, hands-on individual to take full responsibility for data documentation, metadata, and data quality tooling. You will serve as the primary engine for keeping our data house in order, acting as the orchestrator for data stewards … specific technical expertise or pipeline actions are required. In This Role, You Will Take full, hands-on responsibility for the daily administration of our metadata management and data quality tools Author and maintain comprehensive documentation of our data assets, metadata, and the broader data operating model. Engage, coordinate ...

store and retrieve company information Install and configure information systems to ensure functionality Analysing, planning, and defining data architecture framework, including security, reference data, metadata, and master data Migrate data from legacy systems to new solutions Design conceptual and logical data models and flowcharts Improve system performance by conducting tests …/experience required Proficiency in SQL is essential and experience with data visualization is highly desirable. Proficiency in MS Excel Experience in data modelling, metadata management, data synthesis Proven work experience as a Data Engineer or similar role In-depth understanding of database structure principles Experience gathering and analysing system ...

together. Find out more: Our approach to R&D Position Summary You will design, maintain, and drive the adoption of SCM standards-component definitions, metadata schemas, taxonomy, lifecycle governance, and content quality frameworks—across R&D. Ensures all SCM artefacts are audit-ready, compliant with regulatory requirements … engagement and change management/adoption workstreams, in support of the Business Lead, SCM Horizontal. Define, document, and maintain SCM component standards: component taxonomy, metadata schemas, semantic conventions, versioning rules, and lifecycle governance (authoring through review, approval, reuse, and retirement) in collaboration with functional governance across R&D. Develop ...

Collaborate with Business Analysts, Architects, SMEs and Data Owners to ensure data solutions meet business needs. Create and maintain data contracts, data definitions and metadata documentation. Support the management of data lineage and data governance requirements. Promote enterprise data standards, modelling frameworks and best practices. Ensure data structures … physical data modelling. Strong knowledge of data modelling techniques including 3NF, Dimensional Modelling, Data Vault and NoSQL approaches. Hands-on experience managing data products, metadata, lineage and data definitions. Excellent communication and stakeholder management capabilities. Experience working within regulated environments, preferably Financial Services. Ability to transform business requirements into robust ...

revise Data and Data Governance strategies, frameworks, operating models, and key workflow processes Work with our clients to define required technical and business metadata, identify data lineage needs, determine scanning schedules, and implement data catalog tools Assess data quality, remediate data quality issues, develop data quality rules, create metrics, thresholds … Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with defining, organising and publishing business and technical metadata and implementing data management technologies(e.g., Data Catalog, Data Quality, Master Data Management) Passion, drive that takes Data Governance to a value and outcome focussed ...

revise Data and Data Governance strategies, frameworks, operating models, and key workflow processes Work with our clients to define required technical and business metadata, identify data lineage needs, determine scanning schedules, and implement data catalog tools Assess data quality, remediate data quality issues, develop data quality rules, create metrics, thresholds … Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with defining, organising and publishing business and technical metadata and implementing data management technologies(e.g., Data Catalog, Data Quality, Master Data Management) Passion, drive that takes Data Governance to a value and outcome focussed ...

issue remediation, control adoption, performance management, and continuous improvement. Lead the implementation and maturation of data governance frameworks, including standards, ownership models, controls, lineage, metadata, and accountability structures. Identify and scale opportunities to apply automation and AI-enabled capabilities to improve data monitoring, issue detection, workflow efficiency, decision-making … execution discipline in a dynamic environment with evolving priorities. Preferred Qualifications: Experience leading enterprise or domain-level data management programs, including data governance, quality, metadata, lineage, and stewardship models. Strong understanding of data lifecycle management and the role of data in supporting reporting, analytics, operations, controls, and client outcomes. Experience ...