1 to 25 of 50 Metadata Management Jobs in London

Data Management Specialist Location: London (Hybrid 2 days per week in Bishopsgate) Rate: £428/day Inside IR35 Clearance: BPSS Duration: Contract - 3 months Overview We're looking for a Data Management Specialist to support the development of enterprise-wide data management capabilities within a major insurance … transformation programme. This is a strategic, framework-focused role centred around defining operating models, governance standards, ownership structures, and data management best practices across the insurance value chain. Working closely with the Head of Data Management, you'll help shape scalable governance and data management approaches across ...

architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics, security and business functions Driving best practice in data governance, lineage, metadata management and data quality Supporting strategic data initiatives, investment planning and architectural roadmaps Ensuring solutions meet regulatory, security, resilience and performance requirements Mentoring teams … making. You'll ideally bring: 3+ years' experience operating in a Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality ...

successful candidate will be responsible for leading all Intellectual Property Rights (IPR) activities across the programme, ensuring contractual compliance, robust governance and effective management of all intellectual property, documentation and associated assets throughout the project lifecycle. Working closely with Project Management, Change Management, Quality, Engineering and Service … highest standard, and all contractual deliverables are produced in accordance with programme governance and industry best practice. Key Responsibilities · Lead the identification, classification and management of Intellectual Property generated throughout the programme. · Maintain ownership of all IPR artefacts and associated documentation in accordance with contractual obligations. ...

successful candidate will be responsible for leading all Intellectual Property Rights (IPR) activities across the programme, ensuring contractual compliance, robust governance and effective management of all intellectual property, documentation and associated assets throughout the project lifecycle. Working closely with Project Management, Change Management, Quality, Engineering and Service … highest standard, and all contractual deliverables are produced in accordance with programme governance and industry best practice. Key Responsibilities · Lead the identification, classification and management of Intellectual Property generated throughout the programme. · Maintain ownership of all IPR artefacts and associated documentation in accordance with contractual obligations. ...

successful candidate will be responsible for leading all Intellectual Property Rights (IPR) activities across the programme, ensuring contractual compliance, robust governance and effective management of all intellectual property, documentation and associated assets throughout the project lifecycle. Working closely with Project Management, Change Management, Quality, Engineering and Service … highest standard, and all contractual deliverables are produced in accordance with programme governance and industry best practice. Key Responsibilities · Lead the identification, classification and management of Intellectual Property generated throughout the programme. · Maintain ownership of all IPR artefacts and associated documentation in accordance with contractual obligations. ...

successful candidate will be responsible for leading all Intellectual Property Rights (IPR) activities across the programme, ensuring contractual compliance, robust governance and effective management of all intellectual property, documentation and associated assets throughout the project lifecycle. Working closely with Project Management, Change Management, Quality, Engineering and Service … highest standard, and all contractual deliverables are produced in accordance with programme governance and industry best practice. Key Responsibilities · Lead the identification, classification and management of Intellectual Property generated throughout the programme. · Maintain ownership of all IPR artefacts and associated documentation in accordance with contractual obligations. ...

policies, standards, controls, and operational processes across data and enterprise systems Establish Data Ownership and Stewardship models across business domains Lead the strategy for metadata management, data cataloguing, lineage, and classification Define and embed Data Quality Management frameworks and KPIs Create governance approaches for AI usage, approval … Legal, Risk, Security, Architecture, and Technology teams to ensure regulatory compliance and operational alignment Drive governance adoption through communication, training, stakeholder engagement, and change management Chair governance forums and report progress, risks, and adoption metrics to executive stakeholders Support enterprise transformation initiatives by embedding governance into delivery and change ...

policies, standards, controls, and operational processes across data and enterprise systems Establish Data Ownership and Stewardship models across business domains Lead the strategy for metadata management, data cataloguing, lineage, and classification Define and embed Data Quality Management frameworks and KPIs Create governance approaches for AI usage, approval … Legal, Risk, Security, Architecture, and Technology teams to ensure regulatory compliance and operational alignment Drive governance adoption through communication, training, stakeholder engagement, and change management Chair governance forums and report progress, risks, and adoption metrics to executive stakeholders Support enterprise transformation initiatives by embedding governance into delivery and change ...

policies, standards, controls, and operational processes across data and enterprise systems Establish Data Ownership and Stewardship models across business domains Lead the strategy for metadata management, data cataloguing, lineage, and classification Define and embed Data Quality Management frameworks and KPIs Create governance approaches for AI usage, approval … Legal, Risk, Security, Architecture, and Technology teams to ensure regulatory compliance and operational alignment Drive governance adoption through communication, training, stakeholder engagement, and change management Chair governance forums and report progress, risks, and adoption metrics to executive stakeholders Support enterprise transformation initiatives by embedding governance into delivery and change ...

policies, standards, controls, and operational processes across data and enterprise systems Establish Data Ownership and Stewardship models across business domains Lead the strategy for metadata management, data cataloguing, lineage, and classification Define and embed Data Quality Management frameworks and KPIs Create governance approaches for AI usage, approval … Legal, Risk, Security, Architecture, and Technology teams to ensure regulatory compliance and operational alignment Drive governance adoption through communication, training, stakeholder engagement, and change management Chair governance forums and report progress, risks, and adoption metrics to executive stakeholders Support enterprise transformation initiatives by embedding governance into delivery and change ...

policies, standards, controls, and operational processes across data and enterprise systems Establish Data Ownership and Stewardship models across business domains Lead the strategy for metadata management, data cataloguing, lineage, and classification Define and embed Data Quality Management frameworks and KPIs Create governance approaches for AI usage, approval … Legal, Risk, Security, Architecture, and Technology teams to ensure regulatory compliance and operational alignment Drive governance adoption through communication, training, stakeholder engagement, and change management Chair governance forums and report progress, risks, and adoption metrics to executive stakeholders Support enterprise transformation initiatives by embedding governance into delivery and change ...

oversight and guidance to delivery teams Collaborating with business, data, analytics, security and engineering stakeholders to translate requirements into robust solutions Supporting data governance, metadata management, data quality and lineage Contributing to architectural roadmaps and investment planning Reviewing and assuring data designs for security, resilience, performance and regulatory … data solutions supporting analytics, reporting and ML workloads Understanding of how trusted data underpins agentic AI solutions Solid grounding in data governance, data quality, metadata management and lineage Experience within Financial Services or another regulated industry (insurance, retirement savings/income experience desirable) Excellent stakeholder engagement and technical ...

data to support analytics, reporting, integrations, and emerging AI capabilities. The Data Governance Framework provides the structure and operating model to drive effective data management and influence data-related behaviours across the Firm. It has established the mechanisms for oversight, control (planning, monitoring, and enforcement), and leadership of data … Senior Manager partners closely with Business Intelligence, Knowledge Solutions and Innovation teams to ensure strong data governance foundations underpin the data and analytics, knowledge management, enterprise search, automation, and AI-driven initiatives across the Firm. Duties and Accountabilities Evolve and drive the strategic direction and continued maturity ...

Trade product representative alongside Technology and Operations, and ensuring the achievement of Data OKRs as defined by technology investments. Responsibilities Data Strategy & Management: Lead the definition and execution of the Trade Data Strategy and roadmap, ensuring alignment with LOB product visions, design, channel alignment, and on‐premise and cloud … Results (OKRs) defined by technology investments. Work in partnership with the Data Governance team to implement robust data governance models, data quality, and data management frameworks across TWCS to ensure data integrity, security, curation, and conformity of data to Citi standards and policies, and accessibility. Collaborate with Data Engineering ...

organization. The successful candidate will collaborate closely with Data Engineering teams, Data Managers, ART Leadership, and Business Heads to oversee data governance, quality, and management processes, ensuring data integrity, security, and accessibility while identifying new opportunities to leverage data for business growth and operational efficiency. What you will … Results (OKRs) defined by technology investments. Work in partnership with Data Governance team to implement robust data governance model, data quality, and data management frameworks across TWCS to ensure data integrity, security, curation, and compliance of data to Citi standards and policies, and accessibility. Collaborate with Data Engineering teams ...

data architecture in relation to our Google Cloud based data platform. You will play a critical role in designing, implementing, and managing our data management infrastructure, ensuring it supports our AI strategy, strategic goals and operational needs. The Data Platform Architect will provide technical leadership of our data solutions … data engineering team with implementing architectural, process or pattern changes Working with data governance to ensure their requirements are realised (e.g. data quality management and metadata management) Champion DataOps practices across the data team, focusing on automated testing, continuous integration/continuous deployment (CI/ ...

understand London Market business processes and translate requirements into data architecture. Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability. Design data governance, security, access control, and compliance frameworks for insurance data. Support cloud migration, data warehouse modernisation, reporting transformation, and legacy … lake, data mart, and semantic layer architecture. Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks. Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls. Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private ...

understand London Market business processes and translate requirements into data architecture. Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability. Design data governance, security, access control, and compliance frameworks for insurance data. Support cloud migration, data warehouse modernisation, reporting transformation, and legacy … lake, data mart, and semantic layer architecture. Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks. Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls. Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private ...

understand London Market business processes and translate requirements into data architecture. Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability. Design data governance, security, access control, and compliance frameworks for insurance data. Support cloud migration, data warehouse modernisation, reporting transformation, and legacy … lake, data mart, and semantic layer architecture. Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks. Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls. Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private ...

understand London Market business processes and translate requirements into data architecture. Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability. Design data governance, security, access control, and compliance frameworks for insurance data. Support cloud migration, data warehouse modernisation, reporting transformation, and legacy … lake, data mart, and semantic layer architecture. Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks. Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls. Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private ...

Data Management SME London (Hybrid – 1–2 days per week onsite) Up to £80,000 + benefits Permanent We are looking for a Data Management SME to join a growing consultancy delivering strategic data initiatives for leading organisations within regulated industries. This is an excellent opportunity for someone … while ensuring it is governed, protected, and managed effectively. The Role You will work closely with business and technology stakeholders to deliver key data management capabilities, including data governance, data quality, metadata management, and data lineage . You'll play a key role in shaping data strategies ...

Defining and implementing data governance frameworks, standards and operating models • Data ownership, stewardship, accountability and governance structures • Data quality frameworks, controls, metrics and monitoring • Metadata management, data lineage and data catalogue solutions • Master Data Management (MDM) • Data warehouse and data lake architecture • Data integration … Microsoft Fabric • Strong knowledge of SQL Server and PostgreSQL • Experience influencing senior stakeholders and driving organisation-wide adoption of governance standards • Excellent communication, stakeholder management and change leadership skills Desirable Experience • Financial services experience • Understanding of investment or wealth management products • Experience establishing governance functions within organisations undergoing ...

Defining and implementing data governance frameworks, standards and operating models • Data ownership, stewardship, accountability and governance structures • Data quality frameworks, controls, metrics and monitoring • Metadata management, data lineage and data catalogue solutions • Master Data Management (MDM) • Data warehouse and data lake architecture • Data integration … Microsoft Fabric • Strong knowledge of SQL Server and PostgreSQL • Experience influencing senior stakeholders and driving organisation-wide adoption of governance standards • Excellent communication, stakeholder management and change leadership skills Desirable Experience • Financial services experience • Understanding of investment or wealth management products • Experience establishing governance functions within organisations undergoing ...

Description Data Management SME London (Hybrid – 1–2 days per week onsite) Up to £80,000 + benefits Permanent We are looking for a Data Management SME to join a growing consultancy delivering strategic data initiatives for leading organisations within regulated industries. This is an excellent opportunity … data while ensuring it is governed, protected, and managed effectively.The Role You will work closely with business and technology stakeholders to deliver key data management capabilities, including data governance, data quality, metadata management, and data lineage. You'll play a key role in shaping data strategies, defining ...

Syndicate (MRSL) in a cross-functional team of architects from business and technology Create the design of Munich Re ́s pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions … enterprise Information management Manage the Information Management framework, architecture, processes, and solutions Be responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domains Responsible for implementation of the data quality strategy Review third parties' high-level designs and implementations to ensure quality ...