76 to 99 of 99 Metadata Management Jobs in London

efficiently accelerate meaningful connections between candidates and opportunities. What this job involves: This position will be responsible for Data Governance initiatives such as metadata management and performing analysis on Capital Markets data in order to propose quality rules and data standards that will improve overall Data Quality within … standards, defining, and recording relevant attributes, and documenting the data standards landscape. Partner with Capital Markets product and engineering teams in the kickoff and management of various data ownership governing bodies. Develop business requirements documents for business needs and proposed enhancements to Data Governance components. Drive awareness and adoption ...

projects to support upcoming demand across multiple IT initiatives. You will be responsible for planning, coordinating, and delivering projects related to data platforms, data management, integrations, and transformation activities , working closely with business stakeholders, technical teams, and external partners. Key Responsibilities: Lead IT projects within the Data Domain from … opportunities. Qualifications Proven experience managing Data, Analytics, Data Platform, and Business Intelligence projects end to end in complex global organizations . Hands-on project management approach with active involvement in requirements gathering, data migration, testing, vendor coordination, and deployment activities. Experience leading cross-functional teams including Data Engineers, Data ...

their dashboards into an AI-ready form the agent can query cleanly and reliably. Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however the question is phrased. Knowledge Base Authoring – Author and maintain … your time, and make pragmatic trade-offs to deliver value with minimal supervision. What Would Make You Stand Out: Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms ...

Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern … World-Class Discovery Experience Lead the UX and service design vision — intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations — inspired by the best consumer marketplace patterns (Kaggle, Spotify ...

consumable data solutions within constraints of time, budget, and resources. You possess a broad technical background with deep expertise in data modelling, lakehouse architectures, metadata management, and data governance. Strong communication and collaborative skills enable you to work effectively with both technical and non-technical stakeholders across ...

technologies Creating and maintaining SharePoint architecture standards and frameworks, answering questions, resolving concerns and issues for the clients Design baseline SharePoint information architecture (manage metadata term store taxonomy and content type definitions) Act as a Automation platform(s) subject matter expert Establish and manage governance of automation Platforms Involve ...

help deliver data products that improve accessibility, quality, and business outcomes across a range of priority initiatives. As a Data Product Manager within Asset Management, you will drive the end-to-end development and deployment of data products that support business priorities and deliver measurable value. You will partner … into data solutions Experience working with data owners and data engineering teams to source, transform, and curate data Solid understanding of data quality and metadata management, with proficiency in SQL and Python Ability to operate effectively in a matrixed environment and influence stakeholders across business, data, and technology ...

delivery at scale. You will work with a broad network of stakeholders to drive meaningful outcomes and support innovation through data. As an Asset Management Data Product Enablement Lead in the Data Platform team, you enable Data Product Managers across Asset Management to create, launch, and mature data … analytics environment, such as product operations, delivery enablement, platform enablement, or workflow and portfolio enablement. Strong understanding of data product concepts and lifecycle management, with the ability to coach others through practical execution. Proven ability to translate operating model and process requirements into actionable guidance and drive consistent adoption ...

other storage systems. Maintain and update data models as business needs evolve. Ensure data integrity, quality, and consistency across systems. Document data models, metadata, and data dictionaries. Support data lineage and impact analysis efforts. Conceptual Data Models: High-level models that outline business entities and relationships. Logical Data Models … aligned to respective layers. Meeting notes, requirement gathering documents, and stakeholder feedback summaries. Comprehensive documentation of data elements, definitions, data types, and business rules. Metadata repositories that support data governance and discovery. Entity Relationship Diagrams (ERDs) Visual representations of data entities and their interrelationships, used for communication with stakeholders ...

Data Governance & Quality Lead the implementation and continuous improvement of Defaqto's data governance framework, policies and standards. Drive data quality, stewardship, metadata management and data ownership practices across the business. Maintain data cataloguing, glossary and lineage processes to ensure data is trusted, accessible and well understood. Data … requirements: Experience designing, implementing or embedding a data governance framework within a complex organisation. Strong knowledge of data governance disciplines including data quality, stewardship, metadata, lineage and master data management. Good understanding of the UK regulatory landscape for data, including GDPR and data risk management. Experience managing third-party ...

similar) for data integration, pipeline development, and automation. Experience with modern data architectures, including data lakes/warehouses, governance frameworks, and master/metadata management. Hands‐on experience with Generative AI and LLMs, including RAG, embeddings, vector search, GraphRAG, prompt engineering, and agent frameworks (e.g. LangChain, LlamaIndex). Strong ...

Data Governance Engineer to drive automated governance on cloud platforms, predominantly AWS, as part of a strategic data transformation programme. You will design metadata management, data lineage and data quality capabilities, working with data engineers, analysts and business stakeholders to embed governance best practices and to build ...

Prolaborate to publish and review architecture information. Support architecture model exchange using XML and XMI where required. Maintain architecture repositories, modelling standards, naming conventions, metadata and controlled documentation. Engage with stakeholders to gather information, validate architecture models and communicate architecture decisions and dependencies. Support data architecture relating to construction … hybrid architectures. Experience modelling application landscapes, integrations and technology dependencies. Understanding of systems integration, APIs, interfaces, middleware and information exchange. Experience with requirements capture, management and traceability. Experience developing current-state, transition-state and target-state architecture views. Experience using ArchiMate or an equivalent enterprise architecture modelling notation. Working ...

Prolaborate to publish and review architecture information. Support architecture model exchange using XML and XMI where required. Maintain architecture repositories, modelling standards, naming conventions, metadata and controlled documentation. Engage with stakeholders to gather information, validate architecture models and communicate architecture decisions and dependencies. Support data architecture relating to construction … hybrid architectures. Experience modelling application landscapes, integrations and technology dependencies. Understanding of systems integration, APIs, interfaces, middleware and information exchange. Experience with requirements capture, management and traceability. Experience developing current-state, transition-state and target-state architecture views. Experience using ArchiMate or an equivalent enterprise architecture modelling notation. Working ...

next frontier is AI. For agents to be effective with data, they need more than raw tables and APIs. They need context: catalog metadata, schemas, lineage, ownership, quality signals, permissions, relationships, usage patterns, and business meaning. We are building the semantic and experiential foundation that will allow both humans … love to see: Experience building developer platforms, internal tools, control planes, data platforms, cloud platforms, or engineering productivity products. Familiarity with data catalogs, metadata platforms, semantic layers, lineage systems, knowledge graphs, or search and discovery experiences. Familiarity with technologies such as Kubernetes, Trino, Spark, notebooks, or lakehouse architectures. Experience ...

performance, setting clear goals and objectives and establish metrics Partner with Industry and Region Leads to develop talent strategy – capacity planning, hiring, and talent management What you’ll need Bachelor’s Degree required, master’s degree highly preferred Demonstrable deep expertise and practical experience in the Data and Analytics … domain including but not limited to: Data Strategy, Business Intelligence and Analytics, Data Management, Data Modelling, Data Quality, Data Governance, Master Data Management and Metadata Management. Ability to build relationships and influence C suite stakeholders in a Strategy Consulting context Subject Matter expertise in AI with ...

CMOD document migration from OpenText Livelink. You will design, optimise and troubleshoot SQL queries and data processing jobs, while driving data quality, lineage and metadata management across cloud migrations. This role is based at your nearest regional office or hub with a hybrid working pattern. #J-18808-Ljbffr ...

preferredDemonstrable deep expertise and practical experience in the Data and Analytics domain including but not limited to: Data Strategy, Business Intelligence and Analytics, Data Management, Data Modelling, Data Quality, Data Governance, Master Data Management and Metadata Management.Ability to build relationships and influence C suite stakeholders … achieving/exceeding revenue targetsWho you areGartner Consultants are correctly viewed as THE experts. This means you need to know your markets, vendors, trends, management practices, etc. and be able to see the forest and the trees.Excellent collaborator with the ability to quickly build rapport and gain client trustStrong ...

Powerpoint presentations, Word documents and unstructured Excel spreadsheets. Build an AI-Ready document infrastructure that can classify documents, handle versioning, track provenance, and manage metadata, auditability and permissioning. Implement frameworks for strictest confidentiality and privacy protections, including access controls and security roles, consent tracking, data retention and data deletion … event-driven pipelines. The applicant should understand: Semantic indexing Retrieval-Augmented Generation (RAG) Chunking strategies Document classification Security requirements Access control, tenant isolation, key management, pseudonymisation, audit and logging, compliance frameworks. Experience with the following is essential, with AI-specific experience being a bonus: PII handling and understanding ...

data models, master data standards, prioritisation, adoption and delivery plans.*Go‐to Data Manager responsibilities for the domain** Steward business data definitions, ownership, lineage, metadata, quality KPIs, access requirements and product adoption metrics; chair data change forums and ensure decisions are grounded in commodities trading context.* Apply Shell … cyber hygiene; meet controls for data privacy, confidentiality and regulatory obligations in trading (e.g., REMIT/EMIR, privacy).* Drive incident, change & problem management; measure and report service health and user satisfaction.**What you bring*** Deep commodities data knowledge, ideally within energy trading, including ETRM/Endur workflows, market ...

your functional direction from the Head of Product Data, and will report indirectly to the Senior Director of EDA.This role complements the existing product management by taking responsibility for a current gap in our data estate: the ingestion and publication of digital product data. It's an opportunity … calls under ambiguity.* Curiosity and sound judgement, with the ability to work effectively from incomplete information and adapt to changing priorities.* Proven senior stakeholder management experience across business and engineering teams in complex, multi-stakeholder environments.* Deep knowledge of data management practices, ideally encompassing master data management ...

functional direction from the Head of Product Data, and will report indirectly to the Senior Director of EDA. This role complements the existing product management by taking responsibility for a current gap in our data estate: the ingestion and publication of digital product data. It's an opportunity … calls under ambiguity. Curiosity and sound judgement, with the ability to work effectively from incomplete information and adapt to changing priorities. Proven senior stakeholder management experience across business and engineering teams in complex, multi-stakeholder environments. Deep knowledge of data management practices, ideally encompassing master data management ...

together, we'll make a significant impact on our client's company, clients, and partners worldwide. Job Responsibilities Formulate and implement a robust data management strategy aligned with business objectives, ensuring effective data lifecycle management. Oversee the establishment and enforcement of data management policies and procedures to maintain … process effectiveness, define metrics, and devise corrective action plans when necessary. Identify data risks and issues, collaborating with stakeholders to formulate mitigation and risk management strategies. Drive the implementation of data confidentiality classification, personal information protection methods, and data retention policies. Conduct data profiling to identify critical elements, establish ...

support, monitoring, and troubleshooting. The role will involve end‐to‐end support of BI platforms, including report/dashboard development, platform administration, deployments, security management, performance tuning, incident resolution, and environment maintenance. Details Mandatory/Primary Strong hands‐on experience with IBM Cognos Analytics . Strong experience in Cognos … Development and Administration . Cognos report development and troubleshooting. Framework Manager/metadata modelling knowledge. Cognos security, users, groups, roles, and permissions. Report scheduling, jobs, deployments, and environment management. Performance monitoring and troubleshooting. Strong SQL and relational database knowledge. Production support and incident‐management experience. Secondary Candidate should ...