401 to 425 of 496 Permanent Metadata Jobs

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 ...

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 ...

data structures supporting enterprise knowledge and AI use cases. Develop and maintain knowledge graph capabilities. Work with graph and vector-based data technologies. Implement metadata management and data cataloguing capabilities. Support enterprise search indexing and information retrieval. Ensure data quality, governance and lineage across the platform. Design event-driven data … usable. Key Skills & Experience Python and SQL Google Spanner Neo4j/Graph Databases Knowledge Graph Engineering ETL/ELT pipelines BigQuery Data modelling Metadata management Data cataloguing Vector databases Event-driven architecture Enterprise search indexing Data governance and quality Data lineage Distributed systems Performance and scalability optimisation ...

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 ...

governance strategy and operating model Establishing clear data ownership and stewardship across business domains Leading data quality frameworks, controls, metrics and remediation activity Governing metadata, data definitions, business glossaries and lineage Embedding governance into architecture, engineering and data migration programmes Supporting privacy, security and regulatory compliance Driving adoption, accountability … DAMA-DMBOK Experience with cloud data platforms, ideally Azure and Databricks Familiarity with Databricks Unity Catalog would be advantageous Strong experience across data quality, metadata, lineage, stewardship and ownership Excellent senior stakeholder management and influencing skills Experience within insurance or another regulated environment would be beneficial This is a great ...

. Real experience building LLM/agent applications: retrieval (RAG), vector databases, and tool/function calling. A working understanding of data governance: cataloguing, metadata, lineage, and access control (RBAC/ABAC). An instinct for data quality and trustworthy “golden” sources. Will be a plus: Financial services/capital … queries that join across them. Select and implement the right query or analytical engine for each workload, rather than defaulting to one. Build catalogue, metadata, lineage and semantic layers that make data discoverable and consistently understood across teams. Implement access control that travels with the data: fusing sensitivity and licensing ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural assurance … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register your interest ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural assurance … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register your interest ...

Assess existing DPC codebase, application architecture, and deployment artifacts to replace local components with enterprise services. Enterprise Integration: Design seamless integration connectivity with enterprise metadata, lineage services, IAM, ITSM, and Azure DevOps CI/CD pipelines. Delivery Leadership: Own the end-to-end delivery plan across design, build, integration … Infrastructure: Azure Cloud Architecture, Infrastructure as Code (Terraform), and API-based integration patterns. Data & Databases: PostgreSQL, Graph Databases ( Neo4j , Kuzu ), and data mesh/metadata management platforms. Modern Tech Stack: Next.js 14, FastAPI (Python), Casbin RBAC, Pipeline Orchestration, Apache Iceberg, MCP AI Server Integration, and ODCS v2 Data Contracts layer. ...

Specifying Apache NiFi architecture patterns, flow standards and reusable ingestion components Designing REST API, SOAP, file-based, batch, legacy and bespoke integrations Defining governance, metadata, lineage, auditability and data quality requirements Producing High-Level Designs, design principles, Architecture Decision Records and assurance documentation Defining non-functional requirements covering security, performance … structured and unstructured data, including CSV, XML, JSON, Parquet and Avro Experience designing solutions across multiple security classifications Strong knowledge of data governance, lineage, metadata, data quality, access control and auditability Strong stakeholder engagement, documentation and technical leadership skills Experience of MOD secure data engineering across multiple classifications Experience with ...

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. … 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 ...

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. … 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 ...

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. … 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 ...

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. … 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 ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation’s governance strategy and operating model. Success in this role will be measured through demonstrable … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data Governance across ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation's governance strategy and operating model. Success in this role will be measured through demonstrable … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data Governance across ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation's governance strategy and operating model. Success in this role will be measured through demonstrable … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data Governance across ...

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 ...

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 ...

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 ...

digitalisation roadmap that modernises regulatory operations through workflow automation, structured data, and intelligent process design. Identify opportunities to automate manual regulatory tasks, such as metadata capture, submission tracking, Health Authority correspondence management, and lifecycle updates. Partner with IT and automation teams to implement robotic process automation (RPA), low‐code workflows … document processing) Understanding of AI capabilities in regulated environments and ability to translate needs into AI-enabled use cases Expertise in master data management, metadata structures, data lineage, and ensuring accuracy, compliance, and audit readiness Ability to align stakeholders on system and process changes with strong communication and change management ...

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience … building a first-in-class platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing. This metadata-forward, CI/CD-driven platform represents ...

knowledge solutions for A&O Shearman. Oversee the knowledge engineering and ontology management capability for legal knowledge, ensuring agreed taxonomies, ontology relationships, entity models, metadata standards and governance controls are embedded consistently across platforms. Lead the migration from legacy knowledge platforms to a modern, AI-enabled knowledge ecosystem, ensuring continuity … service, data quality, adoption and measurable business value. Establish and maintain platform implementation standards and metadata schemas that keep the knowledge model accurate, governed, scalable and fit for search, retrieval-augmented generation, automated classification and other AI-enabled services. Partner with Practice Group SMEs and Knowledge teams to capture ...

knowledge solutions for A&O Shearman. Oversee the knowledge engineering and ontology management capability for legal knowledge, ensuring agreed taxonomies, ontology relationships, entity models, metadata standards and governance controls are embedded consistently across platforms. Lead the migration from legacy knowledge platforms to a modern, AI-enabled knowledge ecosystem, ensuring continuity … service, data quality, adoption and measurable business value. Establish and maintain platform implementation standards and metadata schemas that keep the knowledge model accurate, governed, scalable and fit for search, retrieval-augmented generation, automated classification and other AI-enabled services. Partner with Practice Group SMEs and Knowledge teams to capture ...

knowledge solutions for A&O Shearman. Oversee the knowledge engineering and ontology management capability for legal knowledge, ensuring agreed taxonomies, ontology relationships, entity models, metadata standards and governance controls are embedded consistently across platforms. Lead the migration from legacy knowledge platforms to a modern, AI-enabled knowledge ecosystem, ensuring continuity … service, data quality, adoption and measurable business value. Establish and maintain platform implementation standards and metadata schemas that keep the knowledge model accurate, governed, scalable and fit for search, retrieval-augmented generation, automated classification and other AI-enabled services. Partner with Practice Group SMEs and Knowledge teams to capture ...