126 to 150 of 175 Metadata Jobs in London

released, client-ready title. Handling the setup and administrative work around each game so it can be integrated with the client, including configuration, metadata, and the interfaces the client relies on. Collaborating closely with Game Mathematicians throughout the project, handing over a solid, well-structured game for balancing and working ...

centric culture across the enterprise. Key Responsibilities Framework & Policy Leadership: Develop, refine, and maintain enterprise data governance frameworks, policies, and standards (covering data quality, metadata, lineage, classification, and retention). Stewardship & Ownership: Partner with business unit data owners and stewards to define ownership, roles, and operational accountability for key data … assets. Data Quality & Remediation: Lead comprehensive data quality assessments, build remediation pipelines, and track core governance maturity KPIs. Metadata & Catalog Management: Maintain and expand data catalogs, business glossaries, and metadata repositories. Regulatory & Risk Compliance: Ensure strict alignment with relevant privacy regulations (GDPR, CCPA, HIPAA, SOX) and perform data privacy/ ...

data sources. Key Responsibilities Lead discovery and analysis of the current-state data architecture. Develop conceptual, logical and physical data models. Document data lineage, metadata, source systems and integration patterns. Assess data quality and identify remediation opportunities. Identify system dependencies, interfaces and migration constraints. Support the establishment of data ownership … architecture. Proven experience documenting Legacy data estates and complex system landscapes. Experience developing conceptual, logical and physical data models. Strong knowledge of data governance, metadata management and data lineage. Experience with data quality assessment, profiling and remediation planning. Understanding of migration architecture and enterprise data transformation. Knowledge of GDPR, information ...

data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data governance, metadata, and quality standards across datasets. Ensure compliance with privacy, security, regulatory, and internal policy requirement. Required Skills & Experience: Bachelor’s degree in Data Science, Information … into data requirements and supporting UAT or related testing activities. Experience in healthcare, biotechnology, life sciences, or other regulated environments. Data quality, governance, and metadata management. SQL and relational databases. CRM systems and commercial/customer data management. Data preparation, transformation, and validation for AI/analytics use cases. ...

senior stakeholders to promote governance as a business-enabling capability. Support governance requirements across analytics, reporting, AI, and machine learning initiatives. Drive improvements in metadata management, data lineage, business glossaries, and data cataloguing. Ensure compliance with data protection, privacy, security, and regulatory obligations. Identify and manage risks relating to data … leading enterprise Data Governance initiatives within complex organisations. Strong experience designing and implementing governance frameworks, standards, and operating models. Demonstrable success delivering data quality, metadata, lineage, and stewardship programmes. Excellent understanding of data risk, compliance, privacy, and regulatory requirements. Strong stakeholder management skills with experience engaging senior leadership teams. Experience ...

funding and lifecycle management. Ensure delivered data products are registered in the enterprise Data Catalogue with accountable Product Owners assigned, and comply with the metadata and governance standards defined by the Enterprise Data Governance function. Partner with the Enterprise Data Governance and Data Quality functions to apply their standards … establish design standards and best practices; ensure solution designs align to business requirements, enterprise architecture and security standards, and embed data governance, quality, metadata and catalogue requirements. Partner with the Data Platform and Engineering teams to ensure solutions are built on and maximise reuse of the enterprise data platform — integrating ...

clarity, and disciplined prioritization. We’d love to see: Experience with data platforms, ETL/ELT systems, data contracts, schema governance, data quality tooling, metadata management, or lineage platforms. Familiarity with process analytics, statistical process control, workflow simulation, experimentation, or other methods used to evaluate operational systems. Experience defining infrastructure … including a point of view on where these tools succeed and where they fall short. Experience working with semantic models, knowledge graphs, entity resolution, metadata governance, or AI‐ready data initiatives. Academic or professional background in computer science, data engineering, statistics, economics, operations research, or a related technical discipline. ...

Purpose: To establish and embed ABPs enterprise data governance capability so that data is managed as a trusted business asset across policy, quality, stewardship, metadata, master data, privacy, and enabling tooling. The role will work across business and technology teams to define ownership and stewardship, improve data quality, implement governance … drive adoption of self-service analytics tools across the business. Ensure analytics products and models comply with ABPs data governance, data quality, and metadata standards as set by the Data Governance function, maintaining appropriate documentation of assumptions, limitations, and monitoring requirements. Ensure compliance with security, regulatory, and ethical AI standards ...

establish and embed ABP’s enterprise data governance capability so that data is managed as a trusted business asset across policy, quality, stewardship, metadata, master data, privacy, and enabling tooling. The role will work across business and technology teams to define ownership and stewardship, improve data quality, implement governance standards … drive adoption of self-service analytics tools across the business. Ensure analytics products and models comply with ABP’s data governance, data quality, and metadata standards as set by the Data Governance function, maintaining appropriate documentation of assumptions, limitations, and monitoring requirements. Ensure compliance with security, regulatory, and ethical ...

DATA PRODUCT CATALOGUE) codebase, application architecture, and deployment artefacts; define refactoring approach to replace local components with enterprise services. Design integration connectivity with enterprise metadata and lineage services. Manage end-to-end delivery plan across design, build, integration, and deployment phases. Coordinate with platform team on environment setup and governance …/IaC, and API-based integration patterns. Experience with PostgreSQL and graph databases (Neo4j). Familiarity with data mesh/data product concepts and metadata management platforms. Experience presenting to Design Authority/governance boards. Strong Understanding of Azure data services and API-based integration. Next.js 14, FastAPI Python, Pipeline ...

every layer - ingestion, transformation, and consumption. Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor engineers … building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.). Demonstrated success improving data reliability and observability in large-scale data platforms. Excellent communication and stakeholder ...

data models, master data standards, prioritisation, adoption and delivery plans.*Go‐to Data Manager responsibilities for the domain** Steward business data definitions, ownership, lineage, metadata, quality KPIs, access requirements and product adoption metrics; chair data change forums and ensure decisions are grounded in commodities trading context.* Apply Shell’s technical … outcomes that engineering teams can execute.* Strong product and technical judgement across modern data platforms, ingestion patterns, APIs, streaming/batch, schema management, CDC, metadata, lineage and data quality, with the ability to assess what good looks like.* Experience leading cross-functional product delivery through Product Owners, architects, engineers ...

data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. … designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company supporting drug discovery/development projects Familiarity with metadata, ontologies, knowledge graphs, or information retrieval concepts is beneficial Full right to work in the UK What you'll get in return … discussion on your career. Keywords: Information, Scientist, Data, Analytics, Science, Research, Pharmaceutical, AI, NLP, Text mining, Machine, learning, Python, R, Informatics, Literature, Biomedical, Insights, Metadata, Ontologies, Knowledge, graphs, Automation, Programming, Intelligence, Content, Mining, Bioinformatics, Computation, analysis, Governance, Innovation ...

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 ...