426 to 450 of 538 Metadata Jobs

with business stakeholders to understand information needs, pain points, and priorities, translating these into actionable architecture and governance strategies. Develop standards for information design, metadata, taxonomies, and classification to ensure consistency across systems and channels. Establish governance frameworks for information stewardship, data quality, and lifecycle management, ensuring accountability and transparency. … engage and influence stakeholders across business and technology teams. Experience in retail and/or hospitality industry processes and information flows. Knowledge of metadata management, taxonomy design, and governance frameworks (DAMA knowledge advantageous). Expertise in Data Modelling, in designing and implementing data lakes, master data management and data warehouses. ...

strategic delivery of a Data Fabric focusing on data quality, governance, accessibility, and integrationOwning the Data Fabric architecture end-to-end: integration, processing, storage, metadata/lineage, governance, and consumption patternsDefining and maintaining the architecture roadmap (near, mid, and long-term) including technology evolution, capability increments, and deployment waves across … through clear roadmaps, standards, patterns and governanceA good knowledge of on-prem, cloud and hybrid platforms with a strong knowledge of data governance, metadata, lineage, data quality, stewardship, and lifecycle managementPrevious experience designing and governing architectures for constrained or mission environments, including edge deployments and contested connectivity patternsProven experience leading ...

every layer - ingestion, transformation, and consumption. Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor engineers … building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.). Demonstrated success improving data reliability and observability in large-scale data platforms. Excellent communication and stakeholder ...

business requirements, data models, master data standards, prioritisation, adoption and delivery plans.Go‐to Data Manager responsibilities for the domainSteward 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’s technical information … adoption outcomes that engineering teams can execute.Strong product and technical judgement across modern data platforms, ingestion patterns, APIs, streaming/batch, schema management, CDC, metadata, lineage and data quality, with the ability to assess what good looks like.Experience leading cross-functional product delivery through Product Owners, architects, engineers and business ...

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’s technical … outcomes that engineering teams can execute.* Strong product and technical judgement across modern data platforms, ingestion patterns, APIs, streaming/batch, schema management, CDC, metadata, lineage and data quality, with the ability to assess what good looks like.* Experience leading cross-functional product delivery through Product Owners, architects, engineers ...

secure, accessible, and fit for purpose. Handle sensitive data in compliance with NHS information governance standards, using secure platforms for access and sharing. Maintain metadata and documentation to support reproducibility and auditability of analytical work. Identify and resolve data quality issues, including missing, inconsistent, or duplicated records, using systematic cleansing … data to understand patterns of disease and conditions in the population, and the effectiveness of interventions with public health interpretation Maintain and update datasets, metadata, and documentation in line with governance and audit standards. Ensure analytical outputs are stored and shared securely, respecting confidentiality and data protection requirements. Take responsibility ...

Help teams find, understand, and trust data by building a modern metadata marketplace. You’ll shape a strategic product used across Asset Management to strengthen governance and accelerate delivery.As a Product Manager in the Marketplace product team within Asset Management Data Strategy, you will define and deliver capabilities that drive … that manage data domains and subdomains, high quality data products and the semantics that describe them. You’ll also evolve the marketplace as the metadata repository that supports lineage, data contracts, and data quality, powering AI.Job responsibilitiesExecute the product vision and strategy for Marketplace capabilities that strengthen data governance outcomesPartner ...

value of 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.Work closely … experience 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, such ...

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 ...

intelligent workflows while working with technology teams to configure AI-powered data management capabilities and agentic solutions.Enable AI-ready data by establishing standards for metadata, business glossaries, taxonomies, data products and semantic layers that support both trusted business consumption and AI model interoperability.Collaborate with architecture, engineering and platform teams … within data management, ensuring appropriate human oversight, auditability and regulatory alignment.Deliver and embed core data management capabilities, including data governance, ownership, data quality, metadata, lineage and stewardship, while supporting organisational adoption through stakeholder engagement, change management and continuous improvement.Beyond client delivery, you will also:Contribute to Capco thought leadership, exploring ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance KPIs … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly, transparently ...

integrate data solutions across multiple platforms and systems Lead data modelling, data flows, and system interoperability initiatives Drive best practice in data governance, metadata, and quality standards Translate business requirements into effective technical solutions Collaborate with architecture, engineering, and business teams to deliver value Ensure compliance with relevant regulations … Data Architect or in a senior data-focused role Strong background in data modelling, integration, and architecture frameworks Solid understanding of: Data governance & metadata management Enterprise architecture principles Regulatory and compliance requirements Experience with modern data platforms and cloud technologies Ability to engage with senior stakeholders and communicate complex ideas ...

integrate data solutions across multiple platforms and systems Lead data modelling, data flows, and system interoperability initiatives Drive best practice in data governance, metadata, and quality standards Translate business requirements into effective technical solutions Collaborate with architecture, engineering, and business teams to deliver value Ensure compliance with relevant regulations … Data Architect or in a senior data-focused role Strong background in data modelling, integration, and architecture frameworks Solid understanding of: Data governance & metadata management Enterprise architecture principles Regulatory and compliance requirements Experience with modern data platforms and cloud technologies Ability to engage with senior stakeholders and communicate complex ideas ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance KPIs … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly, transparently ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance KPIs … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly, transparently ...

role makes the data side of that promise real, meaning every certified data product carries a semantic definition, a data contract, policy and entitlement metadata including agent identity, lineage and observability, and a certification tier. The role operates on a core conviction of the program: AI is the primary builder … Fabric, not merely its consumer. This leader deploys agents that generate metadata, resolve entities across domains, score quality, and classify unstructured content, so the data plane compounds in richness with every interaction rather than depending on manual annotation at enterprise scale. Responsible for Certified, versioned data products and semantic models ...

analysis against internal policies and BCBS239 requirements. Agree remediation plans with business owners and track delivery through to completion. Maintain governance inventories and metadata using tools such as Collibra and/or Apparity. Champion governance standards and promote best practice across business functions. Deliver governance reporting, project updates and management … ideally have experience with: Analytics Governance or Enterprise Data Governance. BCBS239 or regulatory data governance programmes. End User Computing (EUC) Governance. Data cataloguing and metadata management. Collibra and/or Apparity. Governance frameworks, policies and controls. Data Quality, Data Lineage or Enterprise Data Management. Strong stakeholder management and the ability ...

data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage. Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master … governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands‐on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance. Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify ...

data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage. Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master … governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands‐on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance. Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

workflows).Standards & Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic … ontology.Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)Nice to haveMetadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate dataAI ...

with Data Governance policies and controls by partnering with the Data Steward to create, define and maintain key data management artefacts, including business terms, metadata, data lineage and business rules. The successful candidate will play an important role in promoting strong data governance practices, ensuring that data is understood, managed … associated controls. Working alongside the department's Data Steward, you will assist in the creation, definition and maintenance of business terms, data lineage, metadata and business rules, helping to strengthen data governance practices across Collections & Recoveries and ensuring that data is managed consistently, transparently and in line with organisational requirements.About ...

high-performance data solutions across Oracle, PostgreSQL, Cassandra, and YugabyteDB, for on-premise and cloud environments. Define data standards, governance frameworks, modelling conventions, and metadata strategies. Drive enterprise data strategy and contribute to architecture governance boards. Collaborate closely with architects, engineering teams, business stakeholders, and delivery leads. Assess legacy platforms … level domain, conceptual, logical, and physical data models. Expertise with data modelling tools, ideally ER/Studio or Hackolade. Strong understanding of enterprise integration, metadata management, and data governance. Exposure to cloud and hybrid data platforms is highly desirable. Financial services experience, particularly in capital markets, investment banking, trading platforms ...