1 to 25 of 69 Metadata Management Jobs in London

Data Governance Analyst (IDMC/Metadata/Insurance) £500-£600 per day (via Umbrella) Hybrid - 2 days per week in Central London We are seeking an experienced Data Management Analyst to join a leading Insurance Company on a long-term contract. The Data Governance Analyst with strong experience in Informatica Intelligent Data Management Cloud (IDMC) and metadata management to join our growing Data & Analytics team. You'll play a key role in ensuring data quality, consistency, and compliance across our enterprise data landscape - supporting critical business and regulatory initiatives within the insurance domain. Key Responsibilities: Support the design, implementation, and ongoing management of data governance frameworks, policies, and standards . Work hands-on with … Informatica IDMC (including Axon, EDC, and Data Quality components) to manage metadata, lineage, and data quality rules. Collaborate with data stewards, data owners, and business stakeholders to drive data governance adoption and maturity. Develop and maintain metadata catalogs and ensure alignment with business glossaries and data models. Analyse and document data flows, lineage, and definitions across key systems More ❯

the following: Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. Collaborating closely with … financial services environments. Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational and dimensional modelling methodologies. Understanding of ETL frameworks, metadata management, and data governance principles. Ability to communicate complex data concepts to senior stakeholders in client-facing settings. For Principal level: prior experience in thought leadership, client relationship … management, or revenue oversight . BENEFITS The successful Data Modeller will receive the following benefits: Salary: depends on seniority and experience criteria £50,000-£67,000 for Mid-Level £70,000–£88,000 for Senior level £90,000–£117,000 for Principal level Hybrid working model – 3 days per week onsite in London, both in office and with client More ❯

Operations, partnering with some of the world's most recognizable brands, including Unilever, Diageo, Coca-Cola, Mars, P&G, Starbucks, Coty, LOral, NBCU, and Aetna. Our expertise spans content management, logistics, creative operations, production, and digital commerce enablement, ensuring a seamless flow of content across all systems and channels. We empower brands to achieve operational excellence and confidently manage … will be responsible for driving strategy, efficiency, and leadership for the content operations of one or more client accounts. You will oversee and guide the execution of critical information management processes, ensure the smooth functioning of digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information … management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will play a pivotal role in developing and maintaining best practices, ensuring compliance, and driving innovation in content operations. This hybrid role More ❯

partnering with some of the world's most recognizable brands, including Unilever, Diageo, Coca-Cola, Mars, P&G, Starbucks, Coty, L'Oréal, NBCU, and Aetna. Our expertise spans content management, logistics, creative operations, production, and digital commerce enablement, ensuring a seamless flow of content across all systems and channels. We empower brands to achieve operational excellence and confidently manage … will be responsible for driving strategy, efficiency, and leadership for the content operations of one or more client accounts. You will oversee and guide the execution of critical information management processes, ensure the smooth functioning of digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information … management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will play a pivotal role in developing and maintaining best practices, ensuring compliance, and driving innovation in content operations. This hybrid role More ❯

partnering with some of the world's most recognizable brands, including Unilever, Diageo, Coca-Cola, Mars, P&G, Starbucks, Coty, L’Oréal, NBCU, and Aetna. Our expertise spans content management, logistics, creative operations, production, and digital commerce enablement, ensuring a seamless flow of content across all systems and channels. We empower brands to achieve operational excellence and confidently manage … will be responsible for driving strategy, efficiency, and leadership for the content operations of one or more client accounts. You will oversee and guide the execution of critical information management processes, ensure the smooth functioning of digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information … management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will play a pivotal role in developing and maintaining best practices, ensuring compliance, and driving innovation in content operations. This hybrid role More ❯

partnering with some of the world's most recognizable brands, including Unilever, Diageo, Coca-Cola, Mars, P&G, Starbucks, Coty, L'Oréal, NBCU, and Aetna. Our expertise spans content management, logistics, creative operations, production, and digital commerce enablement, ensuring a seamless flow of content across all systems and channels. We empower brands to achieve operational excellence and confidently manage … will be responsible for driving strategy, efficiency, and leadership for the content operations of one or more client accounts. You will oversee and guide the execution of critical information management processes, ensure the smooth functioning of digital asset workflows, and drive excellence in client delivery. This is a key leadership role where you will manage a team of information … management professionals responsible for asset organization, metadata strategy, and content logistics across global markets. You will serve as a trusted advisor for clients, helping them optimize their digital ecosystems to meet evolving business objectives. Additionally, you will play a pivotal role in developing and maintaining best practices, ensuring compliance, and driving innovation in content operations. This hybrid role More ❯

programme. Key Responsibilities Lead technical architecture and solution design for data products and open data services Provide design leadership across a multi-disciplinary team Apply expertise in data cataloguing, metadata management, and open/licensed data portals Leverage understanding of AI developments to shape and enhance data services Work with open source tools and cloud infrastructure (AWS, Terraform … of 7-8 and a wider programme of 50 Essential Skills & Experience Proven experience with data products and open/licensed data portals Knowledge of data cataloguing systems and metadata management Familiarity with CKAN or similar platforms Strong solution architecture and technical design capabilities Experience leading multi-disciplinary teams Cloud and infrastructure experience (AWS, Terraform) Programming skills in More ❯

Data Management Consultant Location: London Salary : Competitive salary package depending on experience Career Level: Consultant/Specialist, 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 our thought leadership and culture of innovation, we apply … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Consultant to join our Data & AI Practice. As a Data Management Consultant, you will be responsible for designing and implementing Master Data Management (MDM) solutions that support … business and technical stakeholders to ensure that MDM strategies align with organizational goals and deliver measurable value. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data More ❯

Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of … this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of … this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

analytical business needs. Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes. Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise. Establish and maintain reference data management frameworks and governance processes. Develop and execute data strategies … including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration. Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting). Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains. Drive … transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD). Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data More ❯

knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API design, event-driven architecture More ❯

ASSISTANT VP DATA GOVERNANCE Permanent position - Hybrid with 4 working days on site.You must have banking experience and do not require sponsorship.Reporting to data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of, metadata, data lineage, data protection, data quality, data standards, and their policy establishment … and monitoring their implementation to ensure all data standards are complied with and to achieve high data quality; to act as the 2LOD role for IT risks including Data Management Risk, Information Security Risk (including Cyber) and Technology Risk, be responsible for defining the relevant key controls, overseeing and challenging the effectiveness of control measures.Responsibilities: Develop Data Protection and … to the data governance program. Support all departments and business lines in making recommended changes, including helping to resolve any data related issues. Assist with various reports required by management, auditors or regulators. Carry out any ad hoc tasks assigned by Head of Data and Process Management Office Participating in the lifecycle management of the data including More ❯

ASSISTANT VP DATA GOVERNANCE Permanent position - Hybrid with 4 working days on site. You must have banking experience and do not require sponsorship. Reporting to data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of, metadata, data lineage, data protection, data quality, data standards, and their … and monitoring their implementation to ensure all data standards are complied with and to achieve high data quality; to act as the 2LOD role for IT risks including Data Management Risk, Information Security Risk (including Cyber) and Technology Risk, be responsible for defining the relevant key controls, overseeing and challenging the effectiveness of control measures. Responsibilities: Develop Data Protection … to the data governance program. Support all departments and business lines in making recommended changes, including helping to resolve any data related issues. Assist with various reports required by management, auditors or regulators. Carry out any ad hoc tasks assigned by Head of Data and Process Management Office Participating in the life cycle management of the data More ❯

The Role We are seeking a Data Steward to ensure data quality, governance, and compliance across critical operational datasets, enabling reliable analytics and reporting. The role focuses on managing metadata, monitoring data reliability, and supporting business users in leveraging trusted and high-quality data. Key Responsibilities Data Governance & Stewardship Define and enforce data governance standards, policies, and processes across … operational datasets. Collaborate with business stakeholders to document business definitions, data ownership, and stewardship guidelines. Maintain data dictionaries, metadata, and lineage using Atlan. Data Management & Quality Serve as the technical lead for Data Management and Quality. Develop technical designs for data management frameworks and ensure integration within people, tools, and business processes. Monitor adherence to data … management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support Act as a bridge between business and technical teams, ensuring More ❯

of eLearning modules with Articulate or Captivate. * Legal training experience a plus. * Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). * Proficiency in iManage document management system applications (FileSite, iManage More ❯

in Specialty/London Markets Insurance* Key Responsibilities: Conduct a comprehensive review of existing data architecture across regional divisions. Identify gaps, inconsistencies, and key person dependencies in current data management and reporting processes. Develop recommendations for a scalable, repeatable enterprise-wide data architecture framework. Collaborate with internal teams leading governance and process standardisation. Define best practices for data lineage … metadata management, and documentation. Advise on integration and harmonisation of reporting platforms (SQL, PowerBI, Tableau, Python). Support the creation of robust controls and standardised processes for regulatory reporting. Ensure architectural recommendations align with business goals and regulatory requirements. Essential Experience: Previous experience within Specialty/London Markets insurance Proven track record as a Senior Data Architect in … complex, multi-region environments. Deep expertise in data strategy, governance, and data management frameworks. Strong understanding of data lineage, metadata, and documentation standards. Experience working with insurance or financial services data. Familiarity with reporting tools and platforms: SQL, PowerBI, Tableau, Python. Ability to work with cross-functional teams and influence senior stakeholders. Experience designing scalable data architectures for More ❯

Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home Competitive More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and strategically … Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric delivery models. Strong stakeholder management and communication skills, with the ability to align technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or … enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform). Understanding of regulatory frameworks such as GDPR, CCPA, and industry-specific compliance (e.g., HIPAA, PCI). Our benefits Hybrid working model; Private medical More ❯