1 to 25 of 64 Metadata Management Jobs in London

Consultant is responsible for the implementation, configuration, and ongoing support of the Alation Data Intelligence Platform. The role focuses on onboarding data sources, enabling metadata management and governance capabilities, and ensuring the platform operates effectively to support data discovery, cataloging, and stewardship initiatives. Key Responsibilities Platform Setup & Deployment … platform settings, user roles, permissions, workflows, stewardship, and governance features. Perform platform administration, monitoring, troubleshooting, performance tuning, and regular maintenance activities. Data Source Onboarding & Metadata Hydration Connect and onboard databases, data warehouses, BI tools, data lakes, and other enterprise data sources into Alation. Support migration of metadata from ...

Consultant is responsible for the implementation, configuration, and ongoing support of the Alation Data Intelligence Platform. The role focuses on onboarding data sources, enabling metadata management and governance capabilities, and ensuring the platform operates effectively to support data discovery, cataloging, and stewardship initiatives. Key Responsibilities Platform Setup & Deployment … platform settings, user roles, permissions, workflows, stewardship, and governance features. Perform platform administration, monitoring, troubleshooting, performance tuning, and regular maintenance activities. Data Source Onboarding & Metadata Hydration Connect and onboard databases, data warehouses, BI tools, data lakes, and other enterprise data sources into Alation. Support migration of metadata from ...

Consultant is responsible for the implementation, configuration, and ongoing support of the Alation Data Intelligence Platform. The role focuses on onboarding data sources, enabling metadata management and governance capabilities, and ensuring the platform operates effectively to support data discovery, cataloging, and stewardship initiatives. Key Responsibilities Platform Setup & Deployment … platform settings, user roles, permissions, workflows, stewardship, and governance features. Perform platform administration, monitoring, troubleshooting, performance tuning, and regular maintenance activities. Data Source Onboarding & Metadata Hydration Connect and onboard databases, data warehouses, BI tools, data lakes, and other enterprise data sources into Alation. Support migration of metadata from ...

Location: London Position: Full time, Fixed Term We are looking for an experienced Data Governance Lead to own the evolution of the data management capability for our Enterprise Data Platform (EDP). In 2026, we have successfully delivered a Databricks pilot that established the foundations of our data management capability, including Unity Catalogue, Microsoft Purview integration, metadata management, business glossary, data ownership and data quality. The next phase of the programme is to mature these foundations into a scalable, production-ready capability that supports the long-term growth of the platform. This role will be responsible ...

most high-profile public sector organisations. This role is focused on transforming the ServiceNow platform into a trusted enterprise service management capability by establishing a robust data architecture, strengthening CMDB and CSDM maturity, and enabling future platform capabilities including AI, automation, Identity and Access Management, IT Asset Management … existing organisational governance frameworks Recommend retention and sovereignty approaches Platform Enablement Ensure the platform is architecturally ready for: Service Desk Modernisation Identity and Access Management integration AI Search Virtual Agents Workflow Automation ITOM ITAM Business Continuity Management Strategic Portfolio Management Enterprise Service Management expansion Stakeholder Leadership ...

most high-profile public sector organisations. This role is focused on transforming the ServiceNow platform into a trusted enterprise service management capability by establishing a robust data architecture, strengthening CMDB and CSDM maturity, and enabling future platform capabilities including AI, automation, Identity and Access Management, IT Asset Management … existing organisational governance frameworks Recommend retention and sovereignty approaches Platform Enablement Ensure the platform is architecturally ready for: Service Desk Modernisation Identity and Access Management integration AI Search Virtual Agents Workflow Automation ITOM ITAM Business Continuity Management Strategic Portfolio Management Enterprise Service Management expansion Stakeholder Leadership ...

Data Management Manager - London (Hybrid) - Databricks - Snowflake - SQL - Python - Up to £75,000 Are you looking to accelerate your career within Data Management, Data Governance and Data Transformation? We're partnering with a leading technology and transformation business that is continuing to invest heavily in its growing Data … collaborative environment that combines challenging, high-profile projects with genuine opportunities for learning, progression and career development. You Will Work With Delivering Data Management and Data Transformation projects Developing and implementing Data Governance frameworks Improving Data Quality across critical business data assets Delivering end-to-end Data Migration programmes ...

This is a senior architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business … architectures and models. Establish clear links between business objectives, information requirements, data assets and technology solutions. Provide architectural leadership across data governance, data quality, metadata and information management. Define data architecture principles, standards, reference models and reusable patterns. Work closely with Data Engineering teams on the design and evolution ...

Description Job Tittle: Lead Data Governance SME Location: London, UK Job type: Full time Mandatory skills: Data Governance, regulatory compliance, Metadata Management, Data Catalog and Data Lineage, BigQuery and GCP We at Coforge are looking for Lead Data Governance SME in London, UK. About the Role Drive enterprise … wide data governance, data quality, metadata management, regulatory compliance and stewardship initiatives across GCP data platforms. Data Governance Strategy & Operating Model Define governance policies, standards and controls. Establish stewardship, ownership and governance operating models. Drive governance adoption across business and technology teams. Metadata Management & Data Cataloguing ...

rollout of Alation and Profisee within a major enterprise data transformation programme. This is a highly visible role that combines programme leadership, stakeholder management, and technical oversight. You'll work across business, technology, data governance, and vendor teams to deliver strategic data management capabilities that support governance, metadata management, and master data management initiatives. Key Responsibilities Delivery Leadership Lead the planning, resourcing, and delivery of Alation and Profisee implementations. Develop and manage project plans, roadmaps, milestones, dependencies, and release schedules. Ensure delivery aligns with business objectives, governance requirements, and programme timelines. Stakeholder & Vendor Management ...

Chief Data & Analytics Office (CDAO) at JPMorgan Chase Asset and Wealth Management (AWM) is responsible for accelerating AWM's data and analytics journey. The Strategic Data Provisioning (SDP) team plays a critical role in modelling behaviours to drive adoption, manage dependencies, align resources, foster innovation, and demonstrate value across … expertise, strategic thinking, and collaborative leadership to make data available for AI/analytics, provide transparency into data flows, embed preventative controls, and enrich metadata to accelerate adoption. Job Responsibilities Provision New/Different Data - Make data available for AI and analytics initiatives, working closely with use case owners ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation's governance strategy and operating model. Success in this role will be measured … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data ...

cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions. Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging … Cloud and/or Databricks Lakehouse Platform. Strong knowledge of cloud-native data architectures across Azure and AWS Strong understanding of data governance, security, metadata management, and data lifecycle management. Understanding of AI/ML data requirements and modern analytics platforms. Knowledge of big data processing frameworks ...

projects and programmes. Collaborate with engineers, architects and suppliers to ensure successful solution delivery. Support the adoption of data standards, governance frameworks and data management best practices. Contribute to the development of scalable, secure and maintainable data solutions. Essential Skills & Experience Active SC Clearance (mandatory). Strong consulting … integration patterns. Ability to produce and review architecture artefacts using tools and frameworks such as Visio, MooD, Erwin, UML and TOGAF. Understanding of metadata management, data catalogues and data lineage concepts. Strong knowledge of data governance, data standards and data management practices. Experience providing architecture assurance ...

made Financial Data & Reporting Work closely with Finance to build an enterprise data model capable of supporting robust financial management. Responsibilities include: Supporting management accounts Financial reconciliations Revenue reporting Customer balance reporting Payment and settlement reporting Commission reporting Profitability analysis Forecasting and budgeting support Regulatory reporting The successful candidate … evolution of the company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business definitions Data quality controls You will ensure the warehouse becomes the trusted source ...

assure interoperable data solutions across complex business environments. * Collaborate with delivery teams to improve data quality, consistency and reuse. * Contribute to data strategy, metadata management and AI-related initiatives. * Engage with senior stakeholders to influence architectural decisions and long-term direction. What We're Looking For * Experience … Strategy. * Strong understanding of data standards, interoperability and governance. * Experience designing data lakes, data warehouses, lakehouses, data meshes or modern data platforms. * Familiarity with metadata management, data catalogues or related tooling. * Strong stakeholder engagement and influencing skills. * Ability to operate effectively in complex, ambiguous environments. * A strategic mindset ...

Engineer to lead the end-to-end delivery and rollout of Alation and Profisee within a complex enterprise environment. Skills and Experience: * Enterprise data management/technology delivery * Alation and/or Profisee implementation and delivery (or similar platforms such as Collibra, Informatica, Purview or Ataccama) * Data Governance, Metadata Management, MDM and Data Quality * Agile delivery and stakeholder management * Vendor management, risk management and technical oversight If you have a strong track record delivering enterprise data programmes and are available for a new contract, please get in touch or apply today. CBSbutler is operating ...

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 … 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 ...

rollout of Alation and Profisee within a complex enterprise environment. This is a senior delivery-focused position combining technical oversight, programme leadership, Agile delivery management and senior stakeholder engagement . You will act as the key coordination point between business stakeholders, data governance teams, technology functions, vendors and implementation … partners, ensuring the successful implementation, adoption and operationalisation of data management capabilities. Key Responsibilities Delivery Leadership & Planning Lead the planning, estimation, resourcing and execution of Alation and Profisee implementation activities. Develop and maintain delivery roadmaps, project plans, milestones, dependencies and release schedules. Ensure delivery remains aligned with business objectives ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

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 across DRW. As a Team Lead … Data Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW’s data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This ...

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 … cloud-based data platforms. Strong 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 ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients. As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance. Job Responsibilities: Execute data management and data risk responsibilities across the entire data lifecycle Ensure responsible use, sharing, and protection of data, maintaining quality and reliability Define, describe ...

entire solution lifecycle. Define enterprise and solution-level data architectures. Design conceptual, logical and physical data models. Develop data strategies, gvernance frameworks and information management approaches. Design secure and scalable data integration patterns across complex technology landscapes. Produce architecture artefacts aligned to enterprise architecture frameworks and business strategies. Support … Secure Government Data Architecture Practice. About you Technical expertise Area: Enterprise Data Architecture; Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data ...

ready to make a measurable impact. As a Lead Data Engineer at JPMorganChase within the Chief Data and Analytics Office of Asset & Wealth Management, you will be at the forefront of accelerating the firm's data and analytics journey. You will partner across business, technology, and operations to make … 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 ...