26 to 50 of 110 Metadata Management Jobs in London

reporting, operational decisioning and AI use cases.A key part of the role is shaping and embedding a data product operating model (clear ownership, lifecycle management and governance of data products) in support of the wider product and platform model, in collaboration with the Data & AI team.Main duties and responsibilitiesThe … technology roadmap, in support of the firms broader data & AI strategy.Define and embed the target-state data platform and data product architecture (including metadata, lineage and governance) that enables trusted analytics and AI/ML (e.g., feature reuse, RAG-ready knowledge assets).Be accountable for the data architecture within ...

rollout of Alation and Profisee within a complex enterprise environment. This is a senior delivery-focused position combining technical oversight, programme leadership, Agile delivery management and senior stakeholder engagement . You will act as the key coordination point between business stakeholders, data governance teams, technology functions, vendors and implementation … partners, ensuring the successful implementation, adoption and operationalisation of data management capabilities. Key Responsibilities Delivery Leadership & Planning Lead the planning, estimation, resourcing and execution of Alation and Profisee implementation activities. Develop and maintain delivery roadmaps, project plans, milestones, dependencies and release schedules. Ensure delivery remains aligned with business objectives ...

Senior Data Management Professional - Data Product Owner - Environmental Regulations Location London Business Area Data Ref # 10052554 Description & Requirements Sustainable Finance data is increasingly crucial for our clients providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just … opportunity analysis into their workflows.The Role:As a Data Product Owner in the Sustainable Finance Regulatory Data team, you will own the data management strategy, operating model and roadmap for Bloomberg's environmental regulatory data products, including EU Taxonomy, SFDR, CSRD, and evolving regulatory product needs. Working closely with ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

underpins model development. Establish data engineering standards and engineering practices, including data quality controls, testing, CI/CD for data, reproducibility standards, data contracts, metadata management and dataset versioning. Deliver hands-on leadership on the most difficult and highest-impact data engineering challenges, including integrating novel and complex … modalities such as genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations. Establish ways of working and coach other team members, onboarding, mentoring and technically leading data engineers ...

challenge consensus.The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines across DRW.As a Team Lead of our Data … Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW’s data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This role ...

challenge consensus. The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines across DRW. As a Team Lead … Data Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW’s data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This ...

scalable, enterprise-grade data asset that supports a broad range of investment and business use cases.This role sits at the intersection of product management, data strategy, and technology delivery. You will play a critical role in translating strategic priorities into actionable product outcomes while helping drive adoption of modern … data management practices, semantic data capabilities, and enterprise data standards across the organization.Key ResponsibilitiesProduct Roadmap Execution & Backlog ManagementPartner with product leadership to execute the ESG Data Product roadmap in alignment with business priorities and enterprise data strategy.Own and prioritize the product backlog, balancing stakeholder needs, technical dependencies, regulatory requirements ...

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 ...

ready to make a measurable impact. As a Lead Data Engineer at JPMorganChase within the Chief Data and Analytics Office of Asset & Wealth Management, you will be at the forefront of accelerating the firm's data and analytics journey. You will partner across business, technology, and operations to make … reduce future failures Drive operational efficiency by eliminating the cost of poor data quality through common tooling, frameworks, and proactive control development Enrich the metadata and semantic layer of existing data assets to improve discoverability, usability, and value for AI applications and natural language query capabilities Accelerate adoption ...

lead complex, high-visibility programs, managing risks, and ensuring alignment of operations with our business strategy. You'll leverage your advanced knowledge in project management and data analytics to monitor program progress, make informed decisions, and communicate effectively with senior management and stakeholders. Your expertise in cross-functional … collaboration and conflict management will be crucial in fostering a productive work environment and resolving potential issues. Job responsibilities Manages the Measure 8 (Lineage) workstream to implement robust data management capabilities that satisfy regulatory requirements, while enabling strategic business objectives across risk, finance and technology functions Maintains ...

engagements are predominantly with organisations facing important transitions. Engagements are typically driven by business unit leaders, CDOs, COOs and other members of the senior management team. Client engagements may be as short as a few months, but can also evolve into multi-year, wide-ranging and transformative relationships. … with some flexibility, please do discuss with us.Your roleAs a practitioner in AI & Data, you will be responsible for leading and delivering data management initiatives on client projects. You will devise innovative solutions to help our clients address their biggest data challenges, focusing on establishing robust data governance frameworks ...

Strong knowledge of conceptual, logical and physical data modelling. Experience designing data architectures across complex organisations or programmes. A strong understanding of data governance, metadata management, data lineage and data quality. Experience integrating data across multiple systems, platforms and organisational boundaries. Knowledge of modern cloud-based data platforms … patterns. Experience developing data strategies, architecture principles and technical roadmaps. The ability to balance long-term architectural direction with immediate delivery priorities. Strong stakeholder-management skills, including experience influencing senior technical and business leaders. Experience working within structured architecture governance and assurance processes. Desirable Experience Experience within UK Government ...

support both descriptive and advanced analytics use cases, including segmentation, propensity modelling, personalisation, recommendation logic and marketing effectiveness measurement. Stakeholder engagement and demand management Act as the primary point of accountability for consumer data products across global, regional and local stakeholders. Engage Marketing, Digital, CRM, Brand, Media, Insights, Activation … definition and trade-offs. Data governance, privacy and compliance Ensure consumer data products are designed and delivered in line with applicable privacy, security, access management and data governance requirements. Work with Privacy, Legal, Security, Architecture and Data Governance teams to ensure appropriate controls are considered for consumer data use. ...

cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and scalable multi-account patterns (e.g., landing zones) for governed delivery.* Stay ahead of the curve: Continuously learn and adapt to the evolving … environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable ...

lakehouses, data virtualisation and distributed data architectures.Ensure data platforms are designed with scalability, reliability, performance, security and maintainability in mind.Embed data governance, data quality, metadata management and security principles into solution designs.Work with both structured and unstructured data across a range of technologies and platforms.Collaborate with engineering, analytics … select technologies based on scalability, performance, security, interoperability and business requirements.Experience documenting complex architectures clearly through diagrams, workflows and technical documentation.Strong communication and stakeholder management skills.Confidence engaging directly with senior client stakeholders, vendors and technology partners.The ability to explain complex technical concepts clearly to both technical and non-technical ...

data discovery capabilities that improve access to enterprise knowledge.Build natural language interfaces that enable non-technical users to interact effectively with complex datasets.Contribute to metadata modelling, governance frameworks, and AI enablement initiatives.Own the full solution lifecycle from discovery, design, and development through deployment, optimisation, and continuous improvement.Act … enterprise data platforms such as Snowflake.Strong analytical thinking and structured problem-solving capabilities.Ability to translate business requirements into scalable technical solutions.Excellent communication and stakeholder management skills.Nice to HaveExperience with AWS Bedrock or other enterprise AI platforms.Experience with AI engineering tools such as Copilot, Cursor, Claude Code, or similar.Experience with ...

Alpha Data Implementation organization is seeking individuals with subject matter expertise spanning a wide array of financial instrument types and working knowledge of Asset Management Data Domains to join our team as an Implementation Business Analyst.Why is this role importantImplementation Business Analysts are at the heart of continued growth … mapping as part of initial client implementations.Define and maintain standards around data ingestion, enrichment and validation of client portfolio data into our Enterprise Data Management solution.Perform in-depth analysis of the functional capabilities inherent to our existing and emerging data platform.Document product specifications and prepare business cases to drive ...

permissioned against data, the capability is useless, or worse, unsafe. Your job is to close that gap. Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. … core components of its investment and research processes. Requirements: 8+ years in data architecture or data platform roles, including 3+ years in metadata management, data governance or data cataloguing across a large and diverse data estate. Architectural experience with enterprise data catalogues (e.g. DataHub, OpenMetadata, Collibra or similar ...

into executable roadmaps, technical requirements, and delivery plans for data, analytics, machine learning, and AI solutions **Drive alignment across Product, Engineering, Data Science, Data Management, Architecture, Governance, and Operations teams **Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability **Coordinate the development and deployment … data platforms, AI/ML capabilities, data quality solutions, and operational workflows **Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: **Strong experience leading large-scale technology, data, or AI programmes **Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital ...

Genie, Mosaic AI capabilities, Microsoft Fabric Copilot and Fabric Data Agent-style solutions where appropriate. · Ground AI outputs in governed data sources, semantic models, metadata, business definitions and reusable data products. · Support implementation of Retrieval Augmented Generation (RAG), vector search, semantic search and enterprise knowledge retrieval where aligned … reusable delivery playbooks. Enterprise readiness and governance · Help make AI-enabled solutions enterprise-ready by considering access control, security, privacy, data lineage, observability, cost management and operational support. · Work with platform governance features such as role-based access control, catalogues, sensitivity labels, lineage, model or agent governance and auditability. ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.Act as a trusted advisor to clients, translating complex technical … modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate.Strong understanding of cloud migration, enterprise data management, governance, security frameworks and the architectural considerations required to support responsible AI adoption.Excellent communication and stakeholder management skills, with the ability to influence both ...

based technologies. Extensive expertise in Data Integration and Orchestration technologies including Azure Data Factory, Glue, APIs, MuleSoft, and Informatica. Proven experience with Data Governance, Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation ...

required.Governance, Security and Data ManagementExperience designing within structured architectural governance frameworks.Familiarity with government assurance processes and design authorities.Strong understanding of data governance frameworks and metadata management.Experience designing for GDPR and UK public sector data protection requirements.Appreciation of infrastructure considerations and security boundaries in regulated cloud environments.Stakeholder EngagementAbility to influence ...