126 to 150 of 283 Permanent Metadata Management Jobs

Senior Consultant – Data Architecture (Management Level) Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the vision. Architect the strategy. Drive enterprise transformation. The Role We’re looking for a Senior Consultant in Data Architecture to lead the design and delivery of scalable, cloud-enabled data solutions for enterprise clients. You’ll define architecture strategies, shape data platforms … architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. Required Experience 4+ years’ experience in data architecture … cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting or experience leading transformation projects in regulated industries. Proven ability to lead teams and develop data architecture propositions. Why Join Shape enterprise data transformation More ❯

Senior Consultant – Data Architecture (Management Level) Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the vision. Architect the strategy. Drive enterprise transformation. The Role We’re looking for a Senior Consultant in Data Architecture to lead the design and delivery of scalable, cloud-enabled data solutions for enterprise clients. You’ll define architecture strategies, shape data platforms … architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. Required Experience 4+ years’ experience in data architecture … cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting or experience leading transformation projects in regulated industries. Proven ability to lead teams and develop data architecture propositions. Why Join Shape enterprise data transformation More ❯

Senior Consultant – Data Architecture (Management Level) Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the vision. Architect the strategy. Drive enterprise transformation. The Role We’re looking for a Senior Consultant in Data Architecture to lead the design and delivery of scalable, cloud-enabled data solutions for enterprise clients. You’ll define architecture strategies, shape data platforms … architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. Required Experience 4+ years’ experience in data architecture … cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting or experience leading transformation projects in regulated industries. Proven ability to lead teams and develop data architecture propositions. Why Join Shape enterprise data transformation More ❯

Senior Consultant – Data Architecture (Management Level) Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the vision. Architect the strategy. Drive enterprise transformation. The Role We’re looking for a Senior Consultant in Data Architecture to lead the design and delivery of scalable, cloud-enabled data solutions for enterprise clients. You’ll define architecture strategies, shape data platforms … architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. Required Experience 4+ years’ experience in data architecture … cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting or experience leading transformation projects in regulated industries. Proven ability to lead teams and develop data architecture propositions. Why Join Shape enterprise data transformation More ❯

Senior Consultant – Data Architecture (Management Level) Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the vision. Architect the strategy. Drive enterprise transformation. The Role We’re looking for a Senior Consultant in Data Architecture to lead the design and delivery of scalable, cloud-enabled data solutions for enterprise clients. You’ll define architecture strategies, shape data platforms … architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. Required Experience 4+ years’ experience in data architecture … cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting or experience leading transformation projects in regulated industries. Proven ability to lead teams and develop data architecture propositions. Why Join Shape enterprise data transformation More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - Cheapside (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role: We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London – Cheapside (Hybrid – 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 – £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role: We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London – Cheapside (Hybrid – 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 – £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role: We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London – Cheapside (Hybrid – 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 – £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role: We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - City (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - City (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

and other enterprise database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing More ❯

reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise to ensure that data More ❯

reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise to ensure that data More ❯

reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise to ensure that data More ❯

reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise to ensure that data More ❯

reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise to ensure that data More ❯

reporting and analytics needs into efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain-including Specialized Insurance, London Market operations, and Regulatory Data-is essential. You will apply this domain expertise to ensure that data More ❯

+ 10% bonus + exceptional benefits plus hybrid working to be based in London on a full-time basis (sponsorship approved).You’ll be responsible for delivering data management, AI assurance, and analytics audits , helping clients to design and embed strong data and AI governance frameworks. You’ll also lead the use of AI and analytics tools to automate … and enhance internal audit processes - improving efficiency, accuracy, and insight.This is an exciting opportunity for a proactive leader who thrives at the intersection of data, AI, and risk management , and wants to shape the future of audit within a fast-evolving digital landscape. Plan, lead, and deliver data management, AI, and analytics audits for clients across multiple sectors. … Provide advisory services - designing and implementing data and AI governance frameworks and practical, proportionate controls. Define and assure compliance against data and AI standards, including data quality, lineage, and metadata management. Help build and expand the data and internal audit practice , developing new propositions that meet client and market needs. Drive business development , building trusted client relationships and contributing More ❯

business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across the platform, helping the business move from legacy … Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments Proven experience as a Data Architect or Lead Data Engineer in enterprise or complex environments Strong ability More ❯

business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across the platform, helping the business move from legacy … Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments Proven experience as a Data Architect or Lead Data Engineer in enterprise or complex environments Strong ability More ❯

business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across the platform, helping the business move from legacy … Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments Proven experience as a Data Architect or Lead Data Engineer in enterprise or complex environments Strong ability More ❯

business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across the platform, helping the business move from legacy … Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments Proven experience as a Data Architect or Lead Data Engineer in enterprise or complex environments Strong ability More ❯

business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across the platform, helping the business move from legacy … Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments Proven experience as a Data Architect or Lead Data Engineer in enterprise or complex environments Strong ability More ❯

business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across the platform, helping the business move from legacy … Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments Proven experience as a Data Architect or Lead Data Engineer in enterprise or complex environments Strong ability More ❯