176 to 200 of 208 Metadata Jobs in the UK

Data Product Owner/Manager for the Quantitative Trading & Research Credit team, you will be responsible for defining data products and their attributes, registering metadata, and ensuring rigorous testing and validation. You will collaborate with traders and data consumers to establish data quality metrics and automate monitoring. You will … Products. Define data attribute requirements and map data lineage for each Data Product. Perform testing and validation of technical implementations and sign‐off. Register metadata in the catalog and ensure its evergreen status. Define critical data elements, data quality metrics, and alerting thresholds. Maintain SLAs for data quality and timeliness ...

significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company supporting drug discovery/development projects Familiarity with metadata, ontologies, knowledge graphs, or information retrieval concepts is beneficial Full right to work in the UK What you'll get in return … discussion on your career. Keywords: Information, Scientist, Data, Analytics, Science, Research, Pharmaceutical, AI, NLP, Text mining, Machine, learning, Python, R, Informatics, Literature, Biomedical, Insights, Metadata, Ontologies, Knowledge, graphs, Automation, Programming, Intelligence, Content, Mining, Bioinformatics, Computation, analysis, Governance, Innovation ...

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 ...

Platform data and AI portfolio, spanning internally built products and third‐party/SaaS capabilities (e.g., data access and connectivity, governance/lineage/metadata, model development and notebooks, model serving, agentic capabilities, and managed data/AI platforms). You will assess whether risks are appropriately identified and controlled … least‐privilege access, human oversight where required, and defined stop/containment mechanisms. Provide 2LoD oversight of foundational data governance products (inventory/CDE, metadata, lineage, catalog, data quality), ensuring they enable compliant data use and support obligations such as BCBS 239 across CDAO Product & Platform. Influence and reinforce right ...

recruiting for a Data Governance Analyst – Metadata on behalf of one of the UK's most recognised and celebrated personal lines insurers. The successful candidate will help deliver and evolve metadata services that enable trusted, well-managed and discoverable data and AI products across the organisation. Operating in a dynamic … period of large-scale business transformation and innovation, offering strong development and progression. Key Responsibilities Supporting the successful planning and delivery of the metadata roadmap, whilst taking on and owning deliveries within it. Developing new capabilities within Collibra and Unity Catalog to enhance the maturity of data governance tools. Working ...

part of the role will be maintaining and enhancing data feeds from Oracle E-Business Suite R12.2.10 into FCCS , including mappings, interfaces, metadata and dimension changes. The role may also involve creating or improving interfaces into FCCS as business requirements evolve. There will also be opportunities to work closely with … including system configuration, user access, security and role management. Maintaining and updating FCCS dimensions, including entity, account, movement, intercompany and custom dimensions, hierarchy changes, metadata updates and mapping changes. Maintaining, troubleshooting and improving data integrations between Oracle FCCS and Oracle E-Business Suite R12. Supporting and, where required, helping ...

Drive the enterprise MDM/RDM strategy to ensure consistent and accurate master data across core business domains, including customers, policies, and claims. Metadata & Lineage: Implement robust processes and systems to map, capture, and maintain comprehensive metadata and data lineage. Regulatory & Compliance Oversight: Ensure all data management practices strictly align … industry . Delivery Capability: Hands-on experience developing and executing strategic data roadmaps and implementation plans. Technical Data Management: Deep expertise in data quality, metadata, lineage, and MDM/RDM strategies. Tools & Platforms: Familiarity with modern data management platforms such as Purview, Collibra, or Informatica . Cloud Ecosystems: Practical experience ...

ideal for hands‐on architects who want to be individual contributors and technical leaders. You’ll work at the intersection of data modeling, metadata standards, and search technologies , with the opportunity to influence platform‐wide decisions and long‐term strategy. As a news architect in the News team at LSEG … data architecture decisions for real‐time news ingestion, enrichment, storage, indexing, and distribution. Develop data standards, schemas, and contracts for news content, metadata, and derived signals to ensure consistency and quality across the platform. Partner closely with engineering teams improving signal discoverability through normalizing metadata and implementing industry standards. Ensure ...

delivery with the global strategy Oversee project timelines and budgets, ensuring delivery within set parameters. 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 … project management and leadership skills. Comprehensive understanding of data governance and compliance frameworks. Understanding of data product operating models Good knowledge of data quality, metadata, lineage, and control frameworks Expertise in collaborating with diverse teams and stakeholders. Technical knowledge relevant to data product development and integration. Understanding of AI, data ...

JPMorgan Chase & Co. is seeking a Principal Information Architect (Executive Director) to lead metadata-centric engineering at scale. You will bridge information architecture with software development, building metamodels, DSLs, and tooling that make metadata actionable. You will influence standards, prototype tooling, and establish governance patterns that ensure reuse, provenance ...

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 Acquisition & Partnerships … 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 suppliers ...

Platform data and AI portfolio, spanning internally built products and third‐party/SaaS capabilities (e.g., data access and connectivity, governance/lineage/metadata, model development and notebooks, model serving, agentic capabilities, and managed data/AI platforms). You will assess whether risks are appropriately identified and controlled … least‐privilege access, human oversight where required, and defined stop/containment mechanisms. Provide 2LoD oversight of foundational data governance products (inventory/CDE, metadata, lineage, catalog, data quality), ensuring they enable compliant data use and support obligations such as BCBS 239 across CDAO Product & Platform. Influence and reinforce right ...

Teams, Microsoft Purview and associated Microsoft 365 services. Develop logical and high‐level solution designs, architecture documentation and technical standards. Design information architecture including metadata, taxonomy, document classification and content structures. Define approaches for records management, retention policies, sensitivity labels, Data Loss Prevention (DLP), auditing and compliance. Ensure security, privacy … solutions. Strong understanding of Microsoft Purview, including: Records Management Retention Policies & Labels Sensitivity Labelling Data Loss Prevention (DLP) Audit eDiscovery Experience designing information architecture, metadata and taxonomy models. Proven ability to translate governance, compliance and privacy requirements into scalable technical solutions. Experience producing High‐Level Designs (HLDs), Low‐Level Designs ...

structured data — including datasets, chemical entities, genes, drugs, clinical trials, and patient outcomes — into AI‐powered discovery pipelines. Advance Elsevier’s knowledge graph and metadata integration strategy, linking research and health data for more context‐aware retrieval. Apply cutting‐edge research in information retrieval, NLP, embeddings, and generative … Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power ...

JPMorganChase is seeking a Principal Information Architect (Executive Director) to lead metadata modeling, domain-specific languages, and tooling across a large engineering environment. You will sit at the intersection of Information Architecture and software engineering, building models, languages, and tooling that bring clarity and control to development. The role blends ...

Data Governance Analyst - Metadata Location: Fareham, once every 2 weeks Contract Type: Permanent, Full-Time Salary: upto £60.000 Start Date: ASAP About the Role We are looking for a Data Governance Analyst - Metadata to join a growing Data Governance team and play a key role in strengthening a data-driven ...

Government client who are seeking an Information Architect on an initial 12 month contract. Location: London (hybrid) Essential: Experience designing information architectures, taxonomies, or metadata frameworks. Strong understanding of information management and information design principles. Experience in creating information classification and labelling models. Experience developing metadata standards and controlled vocabularies. ...

Title: Metadata LeadTarget Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: Up to £80k Location: Eastleigh or Reigate , Hybrid working with travel to Ageas offices when required. Metadata Lead: At Ageas, we are on a mission to unlock the full value of our data, and we are looking … experienced Metadata Lead to play a pivotal role in making this a reality. This is a unique op... WKCL1_UKTJ ...

JPMorganChase is seeking a Principal Information Architect (Executive Director) to lead the development and adoption of cloud-based metadata and information architecture across a large, complex environment. You will build metamodels, vocabularies, mappings, and DSLs to make metadata actionable within software engineering workflows. You will prototype tooling, ensure semantic consistency ...

solutions. Provide oversight and guidance to data architects in the design and production of data artefacts. Design and maintain logical and physical data models, metadata systems, and data dictionaries. Ensure adherence to organisational data architecture standards across teams. Support agile delivery teams using Scrum methodology, contributing to iterative and collaborative … attitude with a proactive and solution-oriented mindset. Solid experience with agile delivery practices, particularly Scrum. Ability to design data models and metadata systems that support business objectives. Competence in developing and managing data dictionaries. Experience providing technical oversight and ensuring compliance with architectural standards. Collaborative approach to working with ...

solutions. Provide oversight and guidance to data architects in the design and production of data artefacts. Design and maintain logical and physical data models, metadata systems, and data dictionaries. Ensure adherence to organisational data architecture standards across teams. Support agile delivery teams using Scrum methodology, contributing to iterative and collaborative … attitude with a proactive and solution-oriented mindset. Solid experience with agile delivery practices, particularly Scrum. Ability to design data models and metadata systems that support business objectives. Competence in developing and managing data dictionaries. Experience providing technical oversight and ensuring compliance with architectural standards. Collaborative approach to working with ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.? Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).? Advanced Python? expertise with strong hands-on use of ML/DL frameworks (e.g.,? PyTorch , TensorFlow), including taking models from experimentation into production model ...

best practices in product storytelling, cross-selling, and navigation to improve engagement and conversion. Partner with Engineering and Data teams to implement content automation, metadata structuring, and semantic optimization that improve site crawlability and ranking in AI search results. Stay ahead of evolving SEO landscapes (Google’s SGE, OpenAI … with hands‐on experience using A/B testing, web analytics tools (e.g., GA4, Amplitude, Mixpanel), and experimentation platforms. Advanced knowledge of SEO foundations: metadata, internal linking, site structure, schema marketup, crawlability. Strong understanding of UK/EU ecommerce consumer behavior, online buying patterns, seasonal trends, and regulatory considerations. Excellent ...

debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience in architecting infrastructure for bulk inference and metadata extraction. Exposure to or direct experience working with human-centric generative pipelines. Proficiency in Python and experience with frameworks for large-scale data processing. Ability … experiences for our users around the world. Responsibilities Build scalable infrastructure and modular toolkits for at-scale distributed data processing, GenAI data generation, and metadata extraction. Run, monitor, and scale deep learning experiments across compute clusters, and develop efficient inference pipelines using JAX. Lead high-volume synthetic datasets including metadata ...

flags experiments where Substrate’s reserved R&D capacity could resolve open questions. AI Assays is a continuous-improvement product that uses run metadata to optimise assay protocols over time, reducing variable cost and increasing throughput. Both products run on top of an autonomous wet lab that is generating … literature and identifying what has not been done well. AI Assays makes the lab better at its own work every week, from the operational metadata of every run. The closest analogue is the internal tooling team at a frontier model lab, with one important difference: you control the data source. ...