1 to 25 of 35 Metadata Management Jobs in London

platform Set up domains, communities, operating models, workflows, and governance assets Utilise Collibra features including Business Glossary, Data Catalog, Data Lineage, Stewardship, and Policy Management Design and implement data governance processes and workflows Support data definitions, classification, metadata management, and lineage capture Collaborate with data owners, stewards … Collibra Data Governance platform Strong understanding of Collibra features, operating models, and workflow design Experience across core data governance disciplines: Data definitions and glossary management Metadata management Data classification Data lineage (business and technical) Ability to engage effectively with business and technical stakeholders Experience designing governance workflows ...

Enterprise Architecture team and is accountable for enterprise-level data architecture across PDS products and partnerships. You will set direction for data models, metadata, standards and governance, and assure that delivery teams align to enterprise patterns. This is an architecture role focused on strategy, design and assurance … more here: Benefits - Police Digital Service (pds.police.uk) The Data Architect implements the design, build and best practice for the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture, working seamlessly with internal PDS and external partners to enable and fulfill multiple stakeholder requirements. Key Responsibilities ...

senior stakeholders including partners. Key Responsibilities Liaise closely with Data Stewards to understand their data needs and lead Data Stewardship Council meetings. Drive the metadata import and curation process within the Data Management Technology (DMT), focusing on resolving relevant business issues. Design and build content for the data … catalogue, including metadata models and workflows. Develop and maintain business process and data lineage areas within the DMT, supporting their utilisation by the Data Governance Framework teams. Analyse business processes to identify opportunities for data management and analytics improvements. Support the creation of user stories, use cases ...

looking for an enthusiastic and detail-oriented Data Management SME to support high-profile engagements with leading financial services organisations. This role is ideal for someone passionate about building strong data foundations that maximise data value while ensuring it’s governed, protected and compliant. You’ll work across … range of strategic data initiatives, partnering closely with business and technology stakeholders to identify data issues, analyse root causes, and deliver robust data management solutions. What You’ll Be Doing Engaging stakeholders to gather, analyse and document business and technical data requirements Translating business needs into scalable, data-driven ...

Data Management Associate Manager Location: London Salary : Competitive salary package depending on experience Career Level: Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With … live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Associate to join our Data & AI Practice. As a Data Management Consultant, you will be responsible for designing and implementing Master Data Management ...

Reports To: Head of Strategy, Transformation and Data Governance Location: London **MUST HAVE INSURANCE EXPERIENCE** Role Purpose Data Management (DM) provides the framework that ensures data is reliable, well understood, secure, and trusted for operational, management, analytical, and customer-focused use. Data is a core business asset with … business and technology, ensuring that data structures, standards, and controls align with business needs while supporting innovation and new technologies. Key Objectives of Data Management Understand and help define business information needs Ensure the creation, maintenance, and integrity of data assets, including logical data models Promote high-quality data ...

integration patterns , including ETL/ELT and streaming architectures Supporting cloud-based data platforms across AWS, Azure, and/or GCP Embedding data governance, metadata management, and master data principles Translating business requirements into clear, scalable data designs Ensuring architectures meet security, compliance, and government standards About … cloud data platforms (AWS, Azure, and/or GCP) Knowledge of ETL/ELT , data integration, and streaming architectures Solid understanding of data governance, metadata, and master data management Excellent communication skills, able to engage technical and non-technical stakeholders Nice to Have: Experience with modern analytics ...

data reliability, performance, quality, and availability across core data assets. Data Platforms, Governance & Maturity Develop and maintain enterprise data models, including master data management (MDM) and core dimensional models. Establish and embed data governance frameworks covering data quality, security, access, and regulatory compliance. Support the introduction of data standards … data pipelines. Strong understanding of data governance, security, compliance, and best practices for managing enterprise data assets. Experience working with MDM, data cataloguing, or metadata management tools. Comfortable operating in a low data maturity environment and leading change through influence rather than authority. Excellent communication and stakeholder management ...

working with a highly regarded global law firm committed to innovative data management and leveraging data-driven strategies to gain a competitive advantage. This organisation values collaboration, integrity, and excellence, providing a dynamic environment for growth and development. The data governance team are a critical part of their … strategy and this role involves dealing with a wide range of senior stakeholders including Partners. Key Responsibilities Support the implementation, adoption, and ongoing management of the firm’s Data Governance Framework. Liaise closely with Data Stewards to understand their data needs and participate in Data Stewardship Council meetings. Assist ...

Role: Customer Support Engineer - GridOS (Kubernetes + Kafka) Experience with GridOS or other grid data management platforms. Knowledge of utility operations, grid modeling, and distributed energy resource management. Familiarity with real-time data streaming and IoT integration. Key Responsibilities: Design and implement GridOS Data Fabric solutions to streamline data … access and management for utilities. Develop data integration pipelines that unify operational (OT), informational (IT), and external data sources (e.g., weather, traffic). Configure and manage metadata catalogs to ensure effective data governance, security, and compliance. Collaborate with business and IT teams to enhance data discovery, quality ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural ...

stakeholders Nice to Have Experience with dbt or other transformation frameworks Exposure to data orchestration tools (Airflow, etc.) Understanding of data governance, lineage, and metadata management Experience supporting BI tools (Power BI, Tableau, Looker, etc.) Python experience for data tooling or automation Experience working in an agile ...

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role ...

that data standards, models, lineage, privacy, and controls are consistently applied across delivery pipelines. The successful candidate will bring deep expertise in data architecture, metadata management, privacy compliance, and data quality, enabling scalable and audit-ready data ecosystems. Key Responsibilities: Portfolio & Program Alignment Ensure governance guardrails are considered … Canonical Data Models & Standards Collaborate with Business and Source of Record (SOR) stakeholders to define and maintain domain-level canonical (conceptual) data models. Review metadata/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices ...

that data standards, models, lineage, privacy, and controls are consistently applied across delivery pipelines. The successful candidate will bring deep expertise in data architecture, metadata management, privacy compliance, and data quality, enabling scalable and audit-ready data ecosystems. Key Responsibilities: Portfolio & Program Alignment Ensure governance guardrails are considered … Canonical Data Models & Standards Collaborate with Business and Source of Record (SOR) stakeholders to define and maintain domain-level canonical (conceptual) data models. Review metadata/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices ...

Responsibilities: Lead enterprise data architecture design across AWS, Azure, and GCP environments. Define target and transition architectures, standards, and reference models. Own data governance, metadata management, lineage, and master data strategies. Design data platforms including data lakes, lakehouse, and streaming architectures. Collaborate with engineering, security, and platform teams ...

across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee … Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement ...

advanced statistical techniques. Familiarity with AI-enhanced analytics tools such as Copilot, AI Foundry, or Fabric-based AI services. Understanding of data governance, metadata management, and data quality best practices. Experience with statistical modelling, forecasting, or machine learning techniques. Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst ...

strategic direction and expert guidance. Partner with senior technology leaders to develop and implement modern data strategies. Design and deliver innovative solutions for data management, governance, and cloud migration. Oversee the development of robust data platforms using cutting-edge cloud technologies. Manage project teams, mentor junior staff, and support … implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with ...

client’s technology projects. Provide advice and guidance to internal technology projects. Where necessary, lead the data workstream on large technology transformations. Support the management of project data architects. Support the delivery of data model, providing expert guidance to our enterprise data modellers. Support data models governance process … Architecture & data modelling skills. Able to articulate the data vision and mission when engaging with internal & external clients. Proved experience in designing and implementing metadata management capabilities. Business mindset to understand organisation business capabilities. Experience in data harvesting and business catalogue tools. Understanding of data management concepts ...

client’s technology projects. Provide advice and guidance to internal technology projects. Where necessary, lead the data workstream on large technology transformations. Support the management of project data architects. Support the delivery of data model, providing expert guidance to our enterprise data modellers. Support data models governance process … Architecture & data modelling skills. Able to articulate the data vision and mission when engaging with internal & external clients. Proved experience in designing and implementing metadata management capabilities. Business mindset to understand organisation business capabilities. Experience in data harvesting and business catalogue tools. Understanding of data management concepts ...

data governance frameworks. This role is ideal for someone early in their data career who is eager to work across data ownership, data quality, metadata management, and information governance. You will play a key part in embedding governance practices across the organisation, working closely with data owners, stewards … implementation and maintenance of data governance frameworks. Assist in identifying and documenting data owners, data stewards, and control points across key data domains. Maintain metadata, business glossaries, and data definitions within Microsoft Purview Data Catalog. Help develop and refine data governance processes, workflows, and standards. Support the logging, triage ...

translating abstract business requirements into effective data-driven solutions and ensuring robust data governance. The person will have a modelling background. KEY ACCOUNTABILITIES Stakeholder Management Engage with business stakeholders to understand their needs and the value of data products Facilitate prioritisation of data initiatives based on business impact Communicate … Provide input and challenge to ensure data models are fit for purpose Data Governance Steering Drive strong data governance practices, including data ownership, stewardship, metadata management, and data sharing Ensure compliance with company policies and industry standards Agentic Strategy Prioritisation Prioritise both data access and tooling to support ...

Governance Consultant Permanent Location: Home Based - with travel to client sites Salary: £90,000 - £110,000 (+ benefits) Skills: Data Governance, AI Assurance, Metadata Management, SC Clearance We are looking to recruit a Senior Data & AI Governance Consultant for a leading IT & Data Consultancy. You will help clients … customer site when required What you'll do Deliver data governance workstreams , including policies, stewardship models, RACI, data quality monitoring and remediation. Implement metadata and cataloguing : business glossaries, lineage, classification, and sensitivity labels. Contribute to AI assurance across the lifecycle, including training data preparation, model selection support, evaluation ...