1 to 25 of 39 Metadata Management Jobs in London

fastest-growing areas of technology consulting. What you'll be doing As a trusted advisor, you'll help clients build robust data management capabilities that enable innovation, responsible AI and better business decisions. You'll: Advise clients on data management, governance and AI strategies, helping shape vision, roadmaps … business cases that maximise the value of data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts ...

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 ...

diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!!**ROLE SUMMARY:**The Director, Performance Management is a senior engineering leader responsible for setting the strategy, architecture, delivery, and operational excellence of the enterprise‐wide Oracle EPM platform. You will … drive the design and implementation of modern performance management capabilities—including planning, forecasting, consolidation, reporting, and analytics—supporting the organisation’s financial and strategic decision‐making.You will lead a cross‐functional engineering organisation covering product ownership, solution architecture, development, DevOps, and platform operations. The ideal candidate combines strong technical ...

projects and programmes. Collaborate with engineers, architects and suppliers to ensure successful solution delivery. Support the adoption of data standards, governance frameworks and data management best practices. Contribute to the development of scalable, secure and maintainable data solutions. Essential Skills & Experience Active SC Clearance (mandatory). Strong consulting … integration patterns. Ability to produce and review architecture artefacts using tools and frameworks such as Visio, MooD, Erwin, UML and TOGAF. Understanding of metadata management, data catalogues and data lineage concepts. Strong knowledge of data governance, data standards and data management practices. Experience providing architecture assurance ...

data architecture and supporting the interpretation of needs at a strategic level. Provide oversight and guidance, ensuring consistent standards are applied, supporting data dictionary management, and working with technical architects to align systems with agreed data architecture principles. Embed data governance, quality, and assurance across the full data lifecycle … ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. About you. Ability to communicate effectively between technical and non-technical stakeholders, translating complex data concepts into clear insights, facilitating discussions across ...

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 ...

implement technology solutions to enhance our systems, products, and processes. The 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 … across Bloomberg products and aligning data with both client needs and Bloomberg’s commercial strategy. You will also influence data governance practices and lifecycle management across teams to ensure long‐term data integrity and scalability. You will collaborate closely with Product, Engineering and domain experts to define and execute ...

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 ...

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 … goals. Build frameworks for responsible, ethical, and compliant use of AI across the organisation. AI & Machine Learning (ML) Lead the development, deployment, and lifecycle management of AI/ML models and automation products. Identify and partner with the commercial leadership to deliver high-value AI-driven opportunities that enhance ...

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 ...

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 ...

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 ...

open table formats (Apache Iceberg, Delta Lake), data observability tools, and real-time/streaming architectures* Experience with data governance frameworks, data quality tools, metadata management, and ensuring compliance with security and regulatory requirements## Personal Attributes* Strong business acumen with ability to translate business requirements into technical architecture ...

ThoughtSpot. Embed data governance, quality, and assurance across the full data lifecycle, ensuring compliance with organisational policy, responsible use of AI, strong metadata management, and high data quality standards. Governance is enabled through Unity Catalog and Microsoft Purview. Define, embed, and champion data engineering best practices and standards … purchase of a bicycle and equipment for healthy, low carbon travel Significant investment in your career development, through learning and development, talent management, coaching, mentoring and on job experience And we are Family friendly with enhanced maternity leave and pay, paternity leave (15 days), shared parental leave, adoption leave. ...

Data Engineering Lead required by our client an international educational establishment to provide the technical engine for the Value Management Office automating the visibility of portfolio performance and benefit realization across the organization. It is responsible for building and maintaining the "Value Dashboard," ensuring that data from disparate systems … Finance, Project Management, and Operations) is integrated to provide a real-time view of strategic ROI. The role holder defines technical standards for value-tracking tools and creates automated data objects that link project outputs to the organisations strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery ...

Data Engineering Lead required by our client an international educational establishment to provide the technical engine for the Value Management Office automating the visibility of portfolio performance and benefit realization across the organization. It is responsible for building and maintaining the "Value Dashboard," ensuring that data from disparate systems … Finance, Project Management, and Operations) is integrated to provide a real-time view of strategic ROI. The role holder defines technical standards for value-tracking tools and creates automated data objects that link project outputs to the organisation’s strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery ...

stakeholders to enable self‐serve analytics and consumption. Good to Have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients. As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance. Job Responsibilities Execute data management and data risk responsibilities across the entire data lifecycle Ensure responsible use, sharing, and protection of data, maintaining quality and reliability Define, describe ...

with business stakeholders to understand information needs, pain points, and priorities, translating these into actionable architecture and governance strategies. Develop standards for information design, metadata, taxonomies, and classification to ensure consistency across systems and channels. Establish governance frameworks for information stewardship, data quality, and lifecycle management, ensuring accountability … with internal policies and external regulations (e.g., GDPR, PCI-DSS), working closely with InfoSec and Compliance teams. Stay ahead of emerging trends in information management, governance, and digital experience, evaluating their relevance to WHSmith’s business context. Drive continuous improvement in how information is captured, enriched, and delivered ...

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 ...

Palantir Foundry and/or Gotham. Strong data engineering background, including ETL, data pipelines and workflow orchestration. Experience with data modelling, governance, lineage and metadata management. Proficiency in Python (TypeScript desirable). Knowledge of SDLC, Git and CI/CD practices. Strong communication skills with the ability to engage ...

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 ...