551 to 575 of 675 Metadata Jobs

data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. … designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform ...

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 ...

time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code approaches Optimising and troubleshooting pipelines for performance, reliability and scalability Developing reusable … formats Proficiency in Python and/or TypeScript Understanding of CI/CD, Git and software development lifecycle practices Knowledge of data governance, security, metadata, lineage and master data Strong stakeholder communication and ability to translate business requirements into technical solutions Defence, Government or other secure-sector experience would ...

acceptance criteria that enable delivery teams to move quickly without losing rigor. Design and drive a modernization roadmap spanning data platform evolution, quality tooling, metadata/lineage enablement, and scalable operational processes. Identify and implement AI opportunitiesincreasing straight-through processing, and improving data quality—while ensuring solutions are safe, explainable … cycle time) and use them to refine the roadmap. Required qualifications, capabilities, and skills Proven track record in data management: system-of-record, lineage, metadata, data quality, controls, stewardship, and lifecycle management. At least 10 years of Financial Services experience, with data, technology and operations experience blended with knowledge ...

once per month). At least once a month in London for team face to face. Scope: The role covers enterprise-wide data governance, metadata management, and data quality initiatives. It spans multiple data platforms, including Microsoft Fabric, and works across business and technical teams to improve governance maturity, accountability … pipelines. Define, implement, and continuously improve data governance frameworks, policies, and standards. Act as a trusted advisor on data governance, data quality, and metadata management across theorganisation. Engage with senior stakeholders toagreedata ownership, stewardship, and accountability models. Support and guide data producers and consumers to improve data quality, usability ...

through our Hybrid Work Model .Job DescriptionKey Responsibilities May Include:Lead the development, implementation, and scaling of core data management capabilities, including data quality, metadata, master and reference data, content and document management, and data storage and operations.Coordinate delivery of data management activities across business, technology, legal, compliance, and regional … adoption activities required to embed new data management practices, data literacy and data-driven ways of working.Work with accountable owners to ensure data quality, metadata, master data, governance and control requirements are transitioned into sustainable BAU practices.Benefits Realisation & ReportingDefine and track transformation outcomes, maturity improvements, risk reduction, adoption indicators ...

warehousing and analytics use cases. Conduct model reviews, impact analysis, and version control using erwin or comparable tools. Participate in data governance initiatives, including metadata management, naming standards, and lineage documentation. Optimize models for performance, scalability, and maintainability across large-scale environments. Assist in database migrations, schema comparisons, and synchronization … query execution plans. Experience with data modeling best practices: normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD) Experience producing and maintaining data dictionaries, metadata, and data lineage documentation. Familiarity with version control (e.g., Git) and model comparison/diff tools. Excellent communication skills with the ability to clearly explain ...

similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics. Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data … lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability. Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with ...

with legal, regulatory (GDPR), and company requirements for data privacy, security, and usage. Facilitate the creation and maintenance of business glossaries, data dictionaries, and metadata management tools. Provide guidance and training to data stewards, business users, and technical teams on data governance principles and practices. Monitor and report on data … Strong understanding of data governance frameworks (e.g., DAMA‐DMBOK), data management principles, and industry best practices. Strong experience with data quality management, data cataloguing, metadata management, and data lineage tools. Familiarity with data privacy regulations (e.g., GDPR) and compliance requirements. Proficiency in data management platforms (e.g., Azure Data Lake, Databricks ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...

with business, product, engineering, and senior domain leaders to strengthen data accountability and drive enterprise adoption of governance practices. Lead adoption of data governance, metadata, lineage, data product standards, and lifecycle management practices across the Data Marketplace. Establish and oversee data quality controls, metrics, risk management, and remediation activities … governance, management, or strategy initiatives within complex organizations. Proven success leading enterprise-scale data governance and stewardship programs across large, matrixed organizations. Experience implementing metadata management, lineage, data catalog, and data product practices within modern enterprise data ecosystems. Strong technical foundation across enterprise data platforms, data architectures, and advanced ...

risks, dependencies, data governance, security, regulatory constraints, and vendor or partner relationships. Ensure data solutions align with FAIR principles, data quality, traceability, provenance, auditability, metadata, and standardisation requirements. Partner with technical leads and architects to deliver scalable, reusable, secure, and enterprise-aligned solutions. Monitor relevant market trends and emerging technologies …/or field environments, including data capture, experimentation, trial execution, automation, sensors, imaging, geospatial data, and data standards. Knowledge of data integrity, discoverability, metadata, taxonomy/ontology, traceability, provenance, auditability, and quality controls across data pipelines. Experience working with data governance, security, architecture, quality, compliance, and regulatory requirements. Strong stakeholder ...

workshops, discovery activities, maturity assessments and stakeholder engagement to understand business needs, challenges and opportunities for improvement. Helping clients improve information governance, data quality, metadata, taxonomy and information architecture to maximise the value of information and data assets. Supporting the identification, structuring and management of information and data assets that … discovery activities and maturity assessments to understand business needs, current practices, challenges and opportunities for improvement. Can help establish practical approaches to information governance, metadata, taxonomy, information architecture and data quality that improve the value and usability of information assets. Can support the identification, structuring and governance of information ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...

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 (e.g., Qlik ...

support where they are appropriate and well controlled. **Implement modern AI solutions*** Implement end-to-end retrieval-augmented generation solutions, including parsing, ingestion, chunking, metadata, embeddings, vector storage, retrieval, reranking, context assembly and prompt management.* Apply sound system-design and distributed-systems judgement across structured and unstructured data, with particular … centred interfaces using modern web frameworks and design-system patterns.* Experience integrating applications with enterprise data platforms and working across structured and unstructured data, metadata, semantic or context layers and data-quality controls.* A track record of influencing senior technology and business stakeholders and translating effectively between business outcomes ...

design an interconnected data model supporting analysis across multiple datasets. Translate business and product requirements into clear, maintainable data modelling artifacts. Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery. Create tools and processes to monitor and maintain metadata inventories. Communicate data modelling … requirements to stakeholders, and drive alignment across metadata/modelling functions to ensure practices are well understood & followed. Perform data profiling and root cause analysis to guide objective, data-driven modelling decisions. Promote FAIR data principles across the modelling lifecycle. You’ll need to have: *Please note we use years ...

stewardship, standards and accountability. The Head of Data Governance will partner with Data Engineering, Data Analytics, BI, Risk, Audit and Compliance to strengthen quality, metadata, lineage and controls. Focused on adoption and trusted decision-making, the Head of Data Governance will help build a culture where data is consistently understood … regulatory metrics and core operational data Data Quality and Issue Resolution: Lead the resolution of data conflicts, inconsistencies and governance issues across business areas Metadata, Lineage and Traceability: Develop and maintain enterprise-wide metadata management, data lineage and traceability capabilities Risk, Audit and Compliance: Act as a key interface ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

platforms architectural design and build integration, modelling, data persistence, and analytical systems.Data Pipelines: Implement, maintain, and test robust data pipelines.Metadata Management: Develop and manage metadata processes and tools.Performance Monitoring: Ensure the stability and performance of data pipelines.Data Quality: Implement tools for data curation, metadata management, and quality assurance.Collaboration: Engage with ...

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 … with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access — self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks ...

integration between systems. Integrate data from REST APIs and other source systems, working with Parquet and S3-compatible object storage. Implement data validation, assurance, metadata management and traceability to ensure data is accurate, complete and fit for purpose. Develop tools for data-driven insights and task automation, and research …/CD practices and pipelines. Experience developing Data contracts or Interface Control Documents (ICDs). Experience with data validation and assurance. Experience with metadata management, lineage and traceability. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering ...