301 to 325 of 350 Metadata Jobs in London

engineering and scalability across data ingestion, storage, streaming, query, and analytics platforms. Design and build self-service data platform capabilities including APIs, data products, metadata services, and developer enablement frameworks. Implement cloud-native platform engineering practices using Kubernetes/OpenShift, Terraform, CI/CD, GitOps, and Infrastructure as Code. Lead … metadata, lineage, and data discovery capabilities using technologies such as DataHub, OpenMetadata, or Apache Atlas to improve platform transparency and usability. Ensure platform security and regulatory compliance through fine-grained access controls, encryption, secrets management, auditing, and secure-by-design engineering principles. Bonus for knowledge of: Automation/configuration management ...

Data & AI department, working across London and Sofia. The team is responsible for data ingestion, data governance, security master maintenance, data quality assurance, metadata curation, usage analysis and market data permissions. The function aims to improve Man’s investment data estate by building scalable data operations, accelerating data onboarding, improving … resolve data quality issues before they impact downstream users; drive automation of daily operational tasks. Support broader Data Management responsibilities including data onboarding, metadata curation, and governance as required. Required 5+ years’ experience in a market data, data operations or data management role at a proprietary trading firm, hedge fund ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management. Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable Experience in AI‐related data preparation, data … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. What You’ll Love About Working Here As a Consultant/Senior Consultant, you will have the chance to shape responsible ...

over the lifecycle of corporate data assets Using categories of products that can be used to collect, integrate, store, visualise and govern data and metadata Define metadata to provide search ability and governance (including Records Management) for unstructured data. Not only will your team be directly making a huge impact ...

operations, incident management, deployments, service transition, offshore delivery, and client communication. Key Responsibilities: Lead daily monitoring of IDMC and EBX platform health, Secure Agents, metadata scans, data-quality workflows, integrations, and scheduled jobs. Own high-priority incident coordination, perform technical triage, drive restoration, manage escalations, and support root-cause analysis. … validation. Provide functional and technical guidance across IDMC services—CDGC, IDQ, and CDI—as well as EBX and PowerCenter. Oversee business glossary, data dictionary, metadata catalog, classification, ownership, and lineage maintenance. Lead or coordinate metadata migration from EDC or other legacy platforms to IDMC, including reconciliation and acceptance validation. Manage ...

future knowledge graph and AI-enabled intelligence layer. Key responsibilities Map data models, schemas and flows across multiple enterprise systems Identify entities, relationships and metadata across complex datasets Synthesise schemas and define taxonomy and ontology requirements Define how enterprise data could feed a knowledge graph Assess data quality, ownership, governance … owners, architects and technical stakeholders Experience required Strong enterprise data architecture and data modelling experience Knowledge graphs, ontologies and taxonomies Complex data integration and metadata Experience within Azure environments Strong stakeholder engagement in large enterprise environments Experience in regulated industries is highly desirable Exposure to Neo4j, Microsoft Graph, GraphRAG ...

CellPoint Digital’s enterprise Data Governance Strategy, with responsibility for: • Driving measurable improvements in data quality across critical business domains • Shaping scalable data architecture, metadata, lineage and lifecycle management • Creating trusted, consistent data for executive decision-making and operational reporting • Building the data foundations for advanced analytics, merchant intelligence … leader within payments, fintech, financial services or another highly regulated technology environment. You’ll bring significant experience across Data Governance , Data Quality , data architecture , metadata , lineage and data lifecycle management , combined with strong knowledge of UK GDPR and PCI-DSS. Crucially, you’ll be commercially minded and credible at executive ...

operationalised at scale Improve data interoperability, integration, reuse and the overall flow of data across the organisation Establish and document data lineage, metadata and architectural standards Build privacy and responsible AI considerations into data architecture Work with senior stakeholders across Product, Data and Technology to make architectural decisions and gain … technologies and the data architecture needed to support them Experience working closely with Data Engineering, Data Science and Product teams Understanding of data governance, metadata, lineage and privacy The ability to influence senior stakeholders and explain complex architecture in straightforward business terms A pragmatic approach to architecture, with a track ...

global strategy Ensure data products are delivered in line with agreed scope, timelines, and standards Establish and embed governance controls including ownership, stewardship, lineage, metadata, and data quality requirements Coordinate approvals and reporting through relevant data governance and delivery forums Manage cross-functional stakeholders across business, data, and technology teams … with stakeholders and manage expectations effectively. Experience in data delivery/programme delivery Understanding of data product operating models Good knowledge of data quality, metadata, lineage, and control frameworks Experience operating in complex, matrixed organisations What’s on Offer Competitive salary ranging from £125,000 to £145,000, dependent ...

defining and leading data governance initiatives in regulated environments such as financial services or insurance. Excellent understanding of data management principles including data quality, metadata, lineage, classification, and stewardship. In-depth knowledge of regulatory frameworks, such as GDPR, and other data protection acts. Experience with Azure Purview, or similar data … governance and metadata tools. Exceptional communication, presentation, and interpersonal skills to articulate complex data concepts to both technical and non-technical audiences. Strong analytical and problem-solving abilities with a keen attention to detail. Must be able to interpret and report on complex data and technical information. Proven ability ...

handling. Experience designing common or canonical data models and mapping different source schemas into a consistent target model. Strong understanding of data provenance, lineage, metadata, source attribution and end-to-end auditability. Experience separating reusable integration capabilities from source-specific adapters and configuration. Knowledge of authentication, authorisation, policy-based access … required. Particularly valuable experience The following would significantly strengthen a candidate: Information Exchange Standard, particularly IES or IES Next. Enterprise Data Headers or comparable metadata standards. Policing Records Management Systems or other operational policing data. Working with differently configured implementations of the same source product. Secure inter-organisational or cross ...

issue remediation, control adoption, performance management, and continuous improvement. Lead the implementation and maturation of data governance frameworks, including standards, ownership models, controls, lineage, metadata, and accountability structures. Identify and scale opportunities to apply automation and AI-enabled capabilities to improve data monitoring, issue detection, workflow efficiency, decision-making … execution discipline in a dynamic environment with evolving priorities. Preferred Qualifications: Experience leading enterprise or domain-level data management programs, including data governance, quality, metadata, lineage, and stewardship models. Strong understanding of data lifecycle management and the role of data in supporting reporting, analytics, operations, controls, and client outcomes. Experience ...

revise Data and Data Governance strategies, frameworks, operating models, and key workflow processes Work with our clients to define required technical and business metadata, identify data lineage needs, determine scanning schedules, and implement data catalog tools Assess data quality, remediate data quality issues, develop data quality rules, create metrics, thresholds … Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with defining, organising and publishing business and technical metadata and implementing data management technologies(e.g., Data Catalog, Data Quality, Master Data Management) Passion, drive that takes Data Governance to a value and outcome focussed ...

standards, lifecycle, and quality controls across all experiments. Define and enforce experimentation standards, ensuring consistent rules for experiment design, metric selection, statistical validity, and metadata completeness. Drive experimentation velocity and coverage, ensuring balanced testing across product surfaces and eliminating under-tested or untested areas. Establish a single source of truth … scale frameworks, documentation, and tooling that make correct experimentation the default and reduce dependency on reactive support or ad hoc guidance. Ensure experiment metadata integrity and completeness so that results are comparable, auditable, and usable for decision-making and organisational learning. Act as an escalation point for experimentation system health ...

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of ...

About Us We're the fastest-growing startup transforming the IP industry. Traction: 20-30% MoM revenue growth; selling to 700+ global IP teams (DLA Piper, tech boutiques, and global enterprises). Proven Value: Users ...

strategy, target architecture, and implementation roadmap. Lead the design of enterprise-scale content and platform architectures. Provide expert guidance on content migration, governance, taxonomy, metadata, and content modelling. Support multi-vendor delivery teams, providing architectural leadership throughout the programme lifecycle. Facilitate workshops, design reviews, and architecture governance forums. Advise … scale website transformation, migration, or consolidation programmes. Strong understanding of headless CMS architectures and modern digital platforms. Experience designing content governance frameworks, taxonomy structures, metadata models, and publishing processes. Excellent stakeholder management, consulting, and technical leadership skills. Ability to translate business requirements into scalable digital architecture solutions. Desirable Experience Healthcare ...

will help translate customer needs, market trends, product priorities, audience data and editorial expertise into clear content strategies that guide product, use case, sourcing, metadata and measurement decisions. This is an individual contributor role reporting into the Head of Content Strategy. The team is responsible for shaping Bloomberg’s content … content become more useful to human readers and more legible to AI systems. That means thinking carefully about client workflows and needs, structure, metadata, event identity, source authority, signal quality, client intent and how content is retrieved, cited and recomposed in AI‐powered workflows. We’ll trust you to: Develop ...

data is structured, contextualised and aligned to the Enterprise Data Model-so it's reusable across the organisation Create clear standards for data products (metadata, schema definitions, quality rules, lineage, refresh requirements, ownership, stewardship and version control) Develop modelling and normalisation patterns for time-series, event, alarm, measurement and file … align delivery with governance What you'll bring: Strong enterprise data architecture experience, including conceptual, logical and canonical data modelling Proven capability in metadata, lineage management, source-to-target mapping and data quality Experience designing reusable data products with standards and governance frameworks Ability to translate fragmented OT source structures ...

strategic objectives into practical governance standards, documentation and delivery artefacts. Key Responsibilities Define and document data governance frameworks and operating models Develop data taxonomies, metadata standards and schema guidance Create data-sharing agreements, governance rulebooks and supporting documentation Run workshops and requirements gathering sessions with technical and non-technical stakeholders … within complex data-led programmes Strong data governance experience covering data ownership, stewardship, access controls and data quality Experience developing data models, taxonomies and metadata standards Knowledge of Databricks, Unity Catalog or comparable data governance platforms Excellent stakeholder management and workshop facilitation skills Strong documentation skills, including governance frameworks ...

data is structured, contextualised and aligned to the Enterprise Data Model-so it's reusable across the organisation * Create clear standards for data products (metadata, schema definitions, quality rules, lineage, refresh requirements, ownership, stewardship and version control) * Develop modelling and normalisation patterns for time-series, event, alarm, measurement and file … align delivery with governance What you'll bring: * Strong enterprise data architecture experience, including conceptual, logical and canonical data modelling * Proven capability in metadata, lineage management, source-to-target mapping and data quality * Experience designing reusable data products with standards and governance frameworks * Ability to translate fragmented OT source structures ...

JPMorganChase is seeking a Principal Information Architect (Executive Director) to drive metadata-rich software engineering across a large enterprise. You will define metamodels, vocabularies, and DSLs, integrating metadata with engineering workflows to enable scalable, auditable, and compliant AI-enabled platforms. The role emphasizes thought leadership in information architecture, collaboration with ...

service data literacy among PMs, design researchers, and engineers Design LLM-ready data foundations for onboarding analytics, including business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets Partner with the product manager, engineers, and designers throughout the product development lifecycle to build and iterate product changes … metric stores, governed dashboards, or trusted self-serve datasets Understanding of data foundations required for AI systems, including clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests, and retrievable documentation Ability to work independently in a fast-paced environment and identify and deliver high-impact opportunities Ability ...

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 encompasses people ...

optimisation. Understanding of search, discovery and graph-based data relationships, particularly within research and scholarly domains. Familiarity with analytics-driven systems, knowledge graphs or metadata-rich datasets. Experience delivering AI-enabled product capabilities such as summarization, guided workflows, intelligent search or decision support. Understanding of making data platforms accessible … agents through APIs, metadata, data contracts or MCP-compatible interfaces. Experience with AI adoption in SDLC streams. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared ...