251 to 275 of 456 Metadata Jobs in the UK

enabling precision medicine, biomarker discovery, and hypothesis validation Work with science stakeholders to understand analytics needs and shape data standards accordingly Create data catalogs, metadata standards, and usage guidelines; establish feedback mechanisms for continuous improvement Standards & Data Product Strategy Define FAIR-compliant standards for translational/biomarker data (omics, imaging ...

Ensure consistency across all learning formats, including self-paced courses, VILTs, webinars, and knowledge base educational content. Own content governance practices, including version control, metadata standards, content audits, and quality reviews. Partner with Academy and Product Trainer roles to ensure technical and instructional standards are met prior to release. Cross ...

governance function, sitting within a technology risk and controls team. We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will work closely with data governance, architecture, technology … risk and compliance teams, turning complex regulatory and metadata requirements into robust models and platform-ready solutions. What You'll Do Design, enhance and maintain asset models within a leading metadata management platform, configuring asset types, relations, attributes, domains and workflows. Develop high-quality Python solutions for data modelling ...

from data across the organisation. The Role: Define and maintain enterprise data architecture standards, policies, and governance frameworks. Own logical and physical data models, metadata, data flows, and data lifecycle management. Lead architectural assurance across strategic projects and programmes. Drive best practice across data modelling, master data management, metadata management … mentoring and thought leadership. Requirements: Proven experience in a Senior Data Architect or similar enterprise-level role. Strong expertise in data governance, data quality, metadata management, data integration, analytics, and data security. Advanced knowledge of conceptual, logical, and physical data modelling. Experience producing architecture artefacts including ERDs, data dictionaries, taxonomies ...

fragmented across legacy systems, suppliers, operational silos, secureenvironmentsor regulated business processes. Yourspecialismsshould cover data governance, master data management strategy, data quality, data ownership, metadata, information management, DLP and the data-control aspects of AI readiness. Methods is appointing seven Domain Experts, each matched to a core strategic offering. Client-Side … data governance operating models, including decision rights, governance forums, data ownership, stewardship roles, escalationroutesand accountability. Develop data policies, standards and controls covering data quality, metadata, lineage, cataloguing, access, sharing, retention, classification, acceptableuseand lifecycle management. Shape master data management and reference data strategies, including golden source principles, matching, survivorship, stewardship,integrationand ...

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 of mesh … data architecture by uplifting existing data assets with improved metadata, data quality scores, and lineage information Develop and deliver data product prototypes that demonstrate the value of enriched data assets and reduce consumer friction caused by incomplete documentation or poor catalogue quality Required qualifications, capabilities, and skills Formal training ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data … data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits ...

Kimball methodologies. Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability. Manage logical and physical data models, including metadata, business glossaries, data flows, and data storage. Partner with Data Engineers, Analytics Engineers, and wider technology teams to deliver data solutions through an agile environment. … understanding of logical, physical, transactional, analytical, and relational data modelling approaches. Experience establishing architecture standards, governance frameworks, and data management best practices. Knowledge of metadata management, data quality, data governance, and master data management principles. Strong stakeholder management skills with the ability to influence both technical and business leaders. Experience ...

Kimball methodologies. Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability. Manage logical and physical data models, including metadata, business glossaries, data flows, and data storage. Partner with Data Engineers, Analytics Engineers, and wider technology teams to deliver data solutions through an agile environment. … understanding of logical, physical, transactional, analytical, and relational data modelling approaches. Experience establishing architecture standards, governance frameworks, and data management best practices. Knowledge of metadata management, data quality, data governance, and master data management principles. Strong stakeholder management skills with the ability to influence both technical and business leaders. Experience ...

Define data architecture standards, modelling conventions, and best practices. Support the development of scalable data platforms for analytics, reporting, and AI. Drive data governance, metadata management, lineage, and data quality initiatives. Collaborate with Data Engineers, Product Owners, and business stakeholders to deliver trusted data solutions. Lead architecture reviews, design workshops … conceptual, logical, and physical data modelling . Experience designing enterprise-scale data warehouses, lakehouse platforms, and analytical solutions . Strong knowledge of data governance, metadata management, lineage, and data quality . Experience with data cataloguing, governance tooling, and data contracts . Excellent stakeholder engagement and communication skills will be essential ...

expertise and leadership in the development, implementation and continuous improvement of Together's Data Governance Framework. You will drive data ownership, stewardship, data quality, metadata management and governance maturity across the organisation as a recognised expert in the data, processes and controls. As a trusted adviser to the business … closely related discipline. Demonstrable experience implementing, operating or materially improving a formal Data Governance Framework. Strong practical knowledge of data ownership, stewardship, data quality, metadata management, business glossaries, data lineage, data classification and critical data elements. Ability to influence, advise and constructively challenge senior stakeholders, including where there ...

evolve the content model, quality standards and fit-for-purpose criteria for each product. Partner closely with Engineering and Product to evolve data models, metadata structures, workflow tooling and architecture that enable scalable, reusable and high quality data products. Design and continuously improve quality management frameworks, governance processes and operational … using a data-driven approach to prioritization. You'll need to have:4+ years* of demonstrated expertise in data management, including data quality, governance, metadata management, data modelling and lifecycle management. Deep knowledge of environmental regulatory reporting frameworks including SFDR, CSRD, EU Taxonomy, PAB, CTB and related disclosure requirements. Proven ...

integration services Enable high-quality data for client-facing products, reporting, artificial intelligence, machine learning and operational activities Co-author data governance practices covering metadata, data quality, lineage, privacy and compliance within Databricks Unity Catalog Review solution designs to ensure architectural alignment, reduce risk, eliminate duplication and maximise reusability … Azure cloud data platforms Experience supporting or managing long-term data migration projects between bespoke or legacy systems Knowledge of data governance, data quality, metadata management, lineage, privacy and compliance Excellent stakeholder engagement, communication and influencing skills Ability to assess emerging technologies and make informed architectural recommendations Experience within ...

/scripting programming languages and workflow orchestration technologies (e.g. Python, R, Bash, SQL, Nextflow, Airflow, Databricks , etc.) Demonstrated expertise in ETL processes, data pipelines, metadata harmonisation, data lifecycle management, data product release processes and operational support Experience operationalising analytical workflows such as differential expression, gene set/pathway enrichment, single … cell analysis, CRISPR screen analytics, GWAS harmonisation, fine‐mapping, colocalisation, etc. Demonstrated hands‐on expertise in data modelling, scientific metadata design, lineage, quality controls and efficient fit‐for‐purpose biological database designs Excellent stakeholder management and communication skills, with the ability to explain complex technical topics to both technical ...

/scripting programming languages and workflow orchestration technologies (e.g. Python, R, Bash, SQL, Nextflow, Airflow, Databricks, etc.)Demonstrated expertise in ETL processes, data pipelines, metadata harmonisation, data lifecycle management, data product release processes and operational supportExperience operationalising analytical workflows such as differential expression, gene set/pathway enrichment, single-cell … analysis, CRISPR screen analytics, GWAS harmonisation, fine-mapping, colocalisation, etc. Demonstrated hands-on expertise in data modelling, scientific metadata design, lineage, quality controls and efficient fit-for-purpose biological database designsExcellent stakeholder management and communication skills, with the ability to explain complex technical topics to both technical and scientific audiencesMoreover ...

knowledge. Analyse legacy data structures and identify standardisation, cleansing, transformation and remediation needs. Define data quality rules, validation logic and exception handling requirements. Support metadata-driven validation design, ensuring validation rules can be stored, maintained and audited against the canonical model. Analyse data quality issues and identify repeatable remediation patterns. … migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing delivery environments. Behaviours and Consulting Fit We are looking for someone who can operate with ...

capture and modelling, with OpenLineage or similar as a reference, and readiness to work with proprietary in-house event models. Experience applying LLMs to metadata work, such as drafting descriptions and classifications for human review, including quality evaluation of the generated output. Readiness to work inside another team's codebase … vendor schema APIs, symbology and asset-class concepts (market-data opening). MS SQL Server estates, reporting and BI systems, inventory extraction from application metadata tables (reporting opening). Columnar and lake formats (Parquet or similar), large object stores, orchestration platforms (Airflow or similar). Working-level knowledge of graph ...

Farnborough to recruit a Data Architect - Fabric for a permanent role. You will lead end-to-end Data Fabric architecture, including integration, processing, storage, metadata, governance and consumption patterns, shaping the technology roadmap across environments. You will mentor Data Fabric Engineers and Data Analysts, ensuring security, scalability and operability ...

contract (umbrella only) focuses on designing scalable data architectures for asset data with governance and traceability. You will define target architectures, champion standards for metadata, schema and lineage, and collaborate with IoT, SCADA replacement and analytics teams to ensure consistent, usable data. #J-18808-Ljbffr ...

outcomes through data and AI. You will set best practices across the Data & AI lifecycle, architect modern data for AI platforms, design governance and metadata frameworks, and guide multidisciplinary teams delivering scalable analytical and AI #J-18808-Ljbffr ...

Lloyds Banking Group is hiring a Data Management Senior Manager to lead data governance, metadata and data quality initiatives across Insurance, Pensions & Investments (IP&I) and the wider Group. Location options include Leeds, Bristol or Edinburgh with hybrid working (two days per week in office). The role commands ...

will define and roll out practical governance, lineage, and compliance frameworks across high-assurance defence products. Design and implement data governance, quality, and metadata frameworks. Ensure compliance with UK MOD security controls, JSP guidelines, and UK GDPR. Map data lineage and build asset catalogues across modern cloud/on-prem ...

evaluated. Key Responsibilities ● Design and optimise enterprise knowledge and retrieval capabilities. ● Develop and improve taxonomy and semantic models to support enterprise search. ● Apply metadata enrichment techniques to improve knowledge discovery. ● Develop and optimise semantic retrieval and search relevance. ● Work with embedding models and other AI techniques to improve information retrieval. ...

strategies across a varied client portfolio Conducting keyword research and competitor analysis Identifying opportunities to improve organic search visibility Supporting on-page optimisation, including metadata, headings, internal linking and content Assisting with technical SEO audits and identifying website issues Monitoring keyword rankings, organic traffic and other key performance metrics Using ...

Building and evaluating predictive models to infer molecular properties from molecular structure Validating processing workflows for raw spectra arriving from analytical partners, including validating metadata, batch tracking, versioned releases, maintaining provenance, and licensing tags at the record level In your first year, you'll build the data foundation everything else ...