26 to 50 of 308 Metadata Management Jobs

Group Metadata Manager Salary: London Circa £85K National Circa £75K Location: London, Bristol, York or Norwich Do you love turning data into meaningful business value? This is a great job for someone with deep Collibra expertise who enjoys working at the crossroads of data management, technology and business. … might be a Collibra Product Owner, Metadata Manager, Data Governance Lead or Senior SME looking for an opportunity to shape metadata strategy across a major FTSE organisation. If you enjoy solving complex challenges, influencing stakeholders and helping organisations get more value from their data, we’d love ...

Quality Manager, and Standards Compliance Manager, interacting with service delivery functions and project stakeholders to ensure full compliance with contractual IPR requirements, the IPR Management Plan, and industry best practices for document and asset management. Key duties include: Own and manage a large-scale IPR repository comprising tens … controlled, traceable and readily retrievable throughout their lifecycle. Drive the day-to-day governance and quality of the IPR repository, including bulk document onboarding, metadata management, document reconciliation, identification and resolution of gaps or duplicates, and periodic completeness and quality reviews to maintain an accurate and audit-ready ...

Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. Our team is one of the largest and most successful Data Management teams … delivering innovative Data Management and Governance thought leadership to our clients. The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management. We help our clients build an enterprise-class data platform that allows them to move ...

large-scale Databricks Data & AI transformation programmes. Lead the end-to-end delivery of Databricks Data & AI programmes, including mobilisation, delivery planning, resourcing, dependency management, financial oversight, commercial management, risk and issue management, and stakeholder reporting. Define end-to-end solution architectures spanning data engineering, analytics, machine … workloads. Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI. Design modern ML, MLOps and LLMOps architectures, including feature engineering, model lifecycle management ...

trusted, and compliant data. This role will drive the development and implementation of policies, standards, and processes that support seamless data integration, master data management, and regulatory compliance. Through proactive stewardship and continuous improvement, the Data Governance Lead will help mitigate risks, address data‐related pain points, and foster … culture of data‐driven innovation. You will lead the establishment, management, and continuous improvement of the company’s data governance framework. Support senior management in developing and executing the organization’s strategic plan for data quality, compliance, and stewardship. Oversee the development and enforcement of data policies, standards ...

involving some or all of the following areas:Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.Experience in project management methodologies, including Agile, Scrum, and Waterfall.Strong communication skills, with the ability to collaborate effectively with cross- functional teams and stakeholders.Excellent problem-solving, critical thinking … good understanding of Data/Information Governance principles and familiarity with processes, policies and any of the key vendor platformsExperience with Data Quality management, Master Data Management processes and Data ProfilingExperience with Management Information/BI Reporting delivery processesExperience managing project delivery including waterfall and/ ...

celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Lead Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver ...

RAID), ensuring proactive mitigation and escalation where required. Establish and maintain robust project governance, including SteerCo updates and executive-level reporting. Ensure effective scope management, change control, delivery assurance, and traceability across the project lifecycle. Drive stakeholder engagement across business, technology, data, and regulatory functions. Facilitate workshops, decision-making … Coordinate delivery activities across multiple teams, ensuring alignment to programme timelines and outcomes. Manage project backlogs and delivery tracking using JIRA and associated project management tools. Support broader programme objectives through effective project management practices and leadership. Essential Skills & Experience Extensive experience in Senior Project Management roles ...

that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver ...

their data.We ADVISE on data, analytics and AI strategy – You will act as a trusted advisor, shaping vision and defining AI-driven data management strategies, articulating the business benefits of robust governance, quality and MDM capabilities.We TRANSLATE complexity into clarity – You will guide and influence senior stakeholders, bridging … secure buy-in and drive cultural change toward data-driven outcomes.We DESIGN operating models – You will define and design elements of the data management operating model, including roles, processes, standards and stewardship frameworks, embedding these into client organisations.We ENABLE trusted AI and analytics – You will support the discovery ...

their data. We ADVISE on data, analytics and AI strategy – You will act as a trusted advisor, shaping vision and defining AI-driven data management strategies, articulating the business benefits of robust governance, quality and MDM capabilities. We TRANSLATE complexity into clarity – You will guide and influence senior stakeholders … secure buy‐in and drive cultural change toward data-driven outcomes. We DESIGN operating models – You will define and design elements of the data management operating model, including roles, processes, standards and stewardship frameworks, embedding these into client organisations. We ENABLE trusted AI and analytics – You will support ...

clear ownership and accountability for critical data across the organisation. Work with Data Owners and Data Stewards to define responsibilities, governance requirements and data management standards. Develop and maintain data governance policies covering areas such as data ownership, data quality, metadata, classification, retention and appropriate data usage. Drive … technology teams to understand root causes and implement sustainable solutions. Support the development and maintenance of the organisation's data catalogue, business glossary and metadata management capabilities. Define and maintain critical data elements, data definitions and associated business rules. Work closely with Risk, Compliance, Information Security, Legal ...

components, design spikes, performance fixes). ETL orchestration & data movement Design and develop robust ETL pipelines orchestrated in Apache Airflow , including scheduling strategies, dependency management, retries, backfills, and processing. Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability. Drive … data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi‐tenant architecture: tenant isolation, configuration management, metadata‐driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning ...

doing*** Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains* Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted* Translating business requirements into clear, well‐structured data models in collaboration with Product Owners, Technical Lead … sample data* Providing high‐quality model documentation to support downstream development and analytics* Maintaining data modelling standards and best practices across squads* Applying change management principles to ensure consistency and traceability of model changes* Supporting governance and metadata management using recognised data modelling tools* Capturing and maintaining ...

doing Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted Translating business requirements into clear, well-structured data models in collaboration with Product Owners, Technical Lead … sample data Providing high-quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency and traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining ...

implement best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data.Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data … architecture, or data warehousing roles.5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds).Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting.Technical Skills:Expertise in data modeling tools ...

best practices for data governance, ensuring high data quality, integrity, and adherence to internal policies and external regulations across all Funds data. Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data … data warehousing roles. 5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds). Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting. Technical Skills Expertise in data modeling tools ...

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 ...

ownership and enabling trust in data. The role will collaborate with colleagues across the business on the implementation and enduring support required for effective metadata management, safe and easy access to data, data quality monitoring, and data quality issues management. MAIN RESPONSIBILITIES Support the development and implementation … challenges to enable a strategic and value adding Data Governance approach. Work with business areas/data domains to help them establish effective metadata management using the approved data catalogue tool. Become an expert in the approved data catalogue tool, train others in its use, and resolve ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

workloads. Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI. Design modern ML, MLOps and LLMOps architectures, including feature engineering, model lifecycle management … data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture. Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector databases, Retrieval‐Augmented Generation (RAG), and enterprise AI deployment patterns. Strong understanding of enterprise data governance, security, metadata management ...

expertise and leadership in the development, implementation and continuous improvement of Together's Data Governance Framework. You will drive data ownership, stewardship, data quality, metadata management and governance maturity across the organisation as a recognised expert in the data, processes and controls. As a trusted adviser … business and technical and delivery stakeholders alike, you will be leading governance initiatives; influencing decision making and embedding practical data management controls that support regulatory compliance, operational effectiveness and strategic business outcomes. This is also a great opportunity to be involved in data architecture activities including contributing to data ...

governance function, sitting within a technology risk and controls team. We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will work closely with data governance … architecture, technology, risk and compliance teams, turning complex regulatory and metadata requirements into robust models and platform-ready solutions. What You'll Do Design, enhance and maintain asset models within a leading metadata management platform, configuring asset types, relations, attributes, domains and workflows. Develop high-quality Python ...