101 to 125 of 503 Remote/Hybrid Metadata Jobs

governance, presenting at design forums and ensuring alignment with Bank-wide standards. Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. Support procurement processes, vendor assessments and technical requirements ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. Support procurement processes, vendor assessments and technical requirements ...

experience with Python development for automation, API integrations, scripting, and cloud-native application development. Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows. Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques. Exposure to vector databases ...

across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. Understanding ...

strong, collaborative ways of working Strategic Contribution Lead development of the unified Lending data model, a key strategic initiative Contribute to building data context (metadata, definitions, relationships) to enable self-serve analytics and GenAI use cases Support the organisation’s transition to GCP and Looker platforms Personal Attributes & Experience Technical ...

structureContribute to building strong, collaborative ways of workingStrategic ContributionLead development of the unified Lending data model, a key strategic initiativeContribute to building data context (metadata, definitions, relationships) to enable self-serve analytics and GenAI use casesSupport the organisation’s transition to GCP and Looker platformsPersonal Attributes & ExperienceTechnicalStrong SQL and data ...

meet specific needs.Data Engineering: Ensure efficient data flow between databases and backend systems.MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.Engineering Software for Production: Build and deploy production-grade software for machine learning ...

solving skills, with the ability to identify region-specific business requirements. Familiarity with tools such as Power BI or Collibra for data analysis or metadata management. Technical experience applying automation and AI-enabled solutions to data governance processes and workflows is beneficial. Strong attention to detail and the ability ...

YAML , ensuring compatibility with modernized solutions. Configure and manage enterprise data flow solutions using Apache NiFi to process, enrich, and route data based on metadata and business rules. Monitor and troubleshoot containerized applications running in Kubernetes environments using tools such as K9s . Perform data mapping, transformation, and validation activities ...

geodatabase design, SQL/spatial databases, data integration and analytical workflows relevant to marine/coastal consultancy. Strong understanding of data governance, quality assurance, metadata, coordinate systems and geospatial best practice. Ability to provide technical leadership and assurance on complex projects, including solution design, peer review, risk management and delivery ...

Architect, Senior Data Engineer, Lead Informatieanalist of Data Modeler). Kennis van gegevensarchitectuur, datakwaliteit en datagovernance (bijv. DAMA-DMBOK); Ervaring met datamodellering en metadata-management; Inzicht in complexe processen, ketens en wet- en regelgeving, bij voorkeur binnen (semi-)overheid; Kennis van of een achtergrond in data science en/ ...

architectural principles. Platform Reliability: Provide overall accountability for the resilience, scalability, performance and operational effectiveness of the data platform. Engineering Patterns: Promote reusable, metadata-driven and automated engineering approaches to reduce complexity and improve delivery efficiency. Azure Services and Cloud Data Engineering Provide strategic oversight of cloud-based data platforms ...

Thread, Digital Engineering and Systems Engineering principles.Experience within highly regulated industries such as Nuclear, Defence, Aerospace, Transport or Critical National Infrastructure.Understanding of data governance, metadata management and information lifecycle management.Familiarity with Agile, Waterfall or hybrid delivery approaches.ð Qualifications & Professional DevelopmentDegree (or equivalent experience) in Business Analysis, Information Management, Engineering, Information ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

cloud‐native orchestration services Event streaming: Kafka and cloud‐native event‐streaming technologies Data modelling: Dimensional, analytical and domain‐oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products: Reusable, discoverable and well‐governed data products and marketplaces DataOps and observability: Testing, monitoring, operational controls … strong software engineering practices to data platforms, including testing, CI/CD and infrastructure‐as‐code. Establishing effective approaches to data quality, observability, governance, metadata and security. You can lead data platform modernisation and migration, including coexistence, cutover and decommissioning. Making pragmatic technology choices and understanding the trade‐offs between ...

digital transformation initiatives **Strong understanding of data management, data governance, cloud platforms, analytics, and AI/ML lifecycles **Strong experience with data quality, metadata management, master data management, knowledge graphs, or data products **Familiarity with Generative AI, MLOps, AI governance, model risk management, and responsible AI frameworks Bonus: **Background ...

Data Architect, Data Solutions Architect or Data Management Architect within a large or regulated organisation. Strong knowledge of data governance, retention, deletion, metadata, data lineage and lifecycle-management principles. Experience defining data architecture standards, controls and reusable patterns for cloud or enterprise data platforms. Ability to translate policy, compliance ...

governance, integration and strategy Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform Experience providing technical leadership and influencing decisions across large‐scale programmes, transformation initiatives and diverse stakeholder groups ...

including the development of the required training materials. Governance, Standards & Data Quality Ensure adherence to enterprise standards. Define and maintain data models, naming conventions, metadata standards and access controls. Support regulatory, quality and audit requirements relating to the transformation. Within Your First Six Months You Will Define and communicate ...

governance, integration and strategy Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform Experience providing technical leadership and influencing decisions across large-scale programmes, transformation initiatives and diverse stakeholder groups ...

management, asset management, platform operations or retail investing Familiarity with Consumer Duty, Operational Resilience, Financial Crime and CASS obligations Knowledge of Collibra, data lineage, metadata management and enterprise governance tooling Experience working with data analytics and business intelligence teams Special Factors Vanguard is not offering visa sponsorship for this position ...

procedures across the organisation Drive data quality improvement, partnering with data owners and stewards to identify and resolve issues Own data catalogue and metadata management, ensuring data is discoverable, trusted and well-documented Collaborate across business and technology teams to deliver strong customer and business outcomes Engage with Risk ...