1 to 25 of 32 Metadata Management Jobs in London

will have genuine visibility and impact. You'll join a collaborative, forward-thinking team delivering modern data solutions across data engineering, governance, migration, quality, metadata management and master data management initiatives. The business offers strong career progression, ongoing investment in technology and the opportunity to work with … modern cloud platforms and tools. Key Responsibilities Design, develop and deploy enterprise-wide data management solutions. Build and optimise ETL/ELT pipelines and automated data workflows. Deliver Data Quality programmes, including data profiling, cleansing, validation and monitoring. Lead and support complex Data Migration projects across multiple source ...

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 ...

integrate observability at 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 engineers … experience 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 and stakeholder management ...

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 ...

Senior Data Management Professional - Data Engineer - Commodities Data Location: London Business Area: Data Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data … implement technology solutions to enhance our systems, products, and processes. Our Team The Commodities Data team is looking for a highly experienced Senior Data Management Professional to help lead the next generation of our data platform. This role requires a strong data engineering foundation combined with deep ownership ...

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 Management Lead London - Hybrid Up to £100,000 + bonus VIQU has partnered with one of the UK’s leading brands, currently seeking a Data Management Lead to join their developing data team as they continue to go from strength to strength. Committed to excellence, they … data and technology. The organisation has restructured its operations to better serve customers, adopt cutting-edge technologies, and drive exceptional business growth. The Data Management Lead will work closely with data governance, engineering and business teams, playing a key role in shaping and managing the organisation’s data practices. ...

secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with … Experience enabling reporting, analytics, and decision‐support capabilities that drive business outcomes across insurance functions. Ability to design architectures that support self‐service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence ...

reporting, analytics, and data engineering capabilities. What We're Looking For Proven experience delivering enterprise-scale data engineering solutions. Strong background in data modelling, metadata management, development, testing, and deployment. Advanced Power BI and/or Microsoft Fabric expertise, including executive dashboard creation. Experience building and maintaining data … Excellent stakeholder engagement and communication skills, with the ability to present technical concepts to senior non-technical audiences. Desirable Experience Experience within PMO, portfolio management, strategy, or value management environments. Financial modelling, commercial analytics, or benefits realisation experience. Previous team leadership or line management experience. Microsoft Fabric ...

strategy, lead cross-functional teams, think commercially, and deliver value. The successful candidate must have a proven track record of project, process, and relationship management; budget management; contract negotiation and administration; and independent problem solving and decision making. Success in this role will require partnership and the influence … across the organisation./li/ul h3 AI & Machine Learning (ML)/h3 ul li Lead the development, deployment, and lifecycle management of AI/ML models and automation products./li li Identify and partner with the commercial leadership to deliver high-value AI-driven opportunities that ...

Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineering Lead to join its Value Management function. You will build the technical infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking … integrate financial, project and operational information into a consistent and automated view of performance. Working with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership, you will turn fragmented data into reliable evidence that supports investment, prioritisation and resource decisions. The Role You will provide ...

Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My client is looking to employ an experienced … ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies ...

delivery in three core areas which all work closely together: Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions … mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance , lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real‐time decision‐making and predictive modelling. Lead performance tuning ...

leadership on Customer data architecture, ensuring solutions support consistent, trusted Customer data across all channels. Propose design patterns and solutions that enable Customer data management, integration, enrichment, and governance. Create and maintain design artefacts for Customer data solutions to enable engineering teams to build effectively, or solutions … Review Customer data solutions for compliance with design principles and functional/non-functional requirements. Lead design decisions and best practices for Customer data management, identity resolution, and master data management. Stay abreast of industry trends in Customer data technologies and Retail data strategies. Skills Required: Essential - Proven experience ...

world's most respected media organisations. This role is crucial in shaping the future across production facilities, content workflows, media asset management, editing, archiving, distribution, and monetisation. Day-to-day of the role: Elicit, analyse, and document business requirements across media production and content distribution workflows. Create detailed … development and solution evaluation. Analyse and optimise end-to-end content supply chains. Support design of workflows covering content ingest, production, post-production, asset management, storage, distribution, and archiving. Identify opportunities for workflow automation and operational efficiencies. Build relationships across Editorial, Technology, Commercial, Data Privacy, and Operations teams. Navigate ...

travel. At least 10 years of IT experience, practical solution planning and technical architecture design (SaaS, IAM). Deep knowledge of emerging technologies, data management governance, and technology road‐mapping. Experience with Microsoft Office 365, Dynamics 365, SAP SuccessFactors, Azure AD, Power BI, etc. Strong stakeholder engagement, conflict resolution … vendor management skills. Salary range: £90,000–£110,000 + benefits. Location: Central London (Hybrid). Enterprise Data Architect Own the data architecture strategy, develop dashboards, and orchestrate data pipelines supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture ...

Snowflake) Ability to communicate technical concepts clearly to non-technical stakeholders Desirable: Experience with data visualisation tools (e.g. Power BI, Tableau) Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica) Exposure to AI/ML use cases in analytics Background in financial services or other regulated ...

reconciliation, and validation. Proven experience gathering and documenting business and data requirements. Experience producing source‐to‐target mappings, ERDs, and functional specifications. Excellent stakeholder management and communication skills with the ability to engage both business and technical audiences. Experience working in Agile environments, including user story creation, backlog refinement … cloud‐based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and reporting solutions. Familiarity with modern analytics engineering practices. Preferred Background Demonstrated experience delivering ...

customer experience. You will own the product vision, strategy, and roadmap for access and identity, leading the implementation of Zephr as our central access management platform and driving the roll‐out of single sign‐on (SSO) and SAML across our estate. Working closely with Engineering Leads, Data teams, Commercial … Access and Identity, aligning multiple initiatives behind a clear set of outcomes and success measures. Lead the implementation of Zephr as the central access management platform, defining the target model for how customers, accounts, and entitlements are structured and how access is granted, maintained, and reported. Drive the roll ...

security, governance, RBAC, data sharing, performance optimization, and multi‐environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event‐driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

improvement. Demonstrable experience assessing data ownership, stewardship and accountability arrangements, including identifying areas where ownership is unclear or absent. Strong understanding of data access management principles, including reviewing and improving approaches to granting, managing and monitoring data access. Experience analysing organisational structures and processes to identify governance, accountability … supports broader data capabilities, including data architecture, data engineering, reporting, analytics and AI initiatives. Knowledge of relevant regulatory and compliance requirements, including GDPR, information management and data protection principles. Desirable Skills and Experience Experience supporting the introduction of metadata management, data cataloguing or data classification approaches. Experience ...

highly regulated environment. Experience contributing to open‐source data projects. Familiarity with machine learning and AI concepts and their application in data management and analysis. Knowledge of emerging agentic technologies and their implications for data architecture. Responsibilities Act as a primary technical point of contact for a large, complex … financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects). Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239). Develop and advocate strategies for federating data responsibility across ...

Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability ...

Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible. Coordinate teams … highly complex problems, balancing technical, user, business, and operational needs. Applies expert judgement to make decisions, manage risks, and guide teams through ambiguity. Change management requirements: Leads or co-leads significant change initiatives. Responsible for managing stakeholder expectations, supporting adoption, and embedding sustainable ways of working. Internal/External ...