126 to 150 of 294 Metadata Management Jobs

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 ❯

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 ❯

stable batch-first integration strategy with AS400 during its .NET migration, with a roadmap toward API integration. Data Governance & Quality Implement the technical foundation for data governance quality checks, metadata management, and master data validation. Embed business rules and validation logic directly within data pipelines. Define and manage data security and access controls (Azure and Power BI row More ❯

stable “batch-first” integration strategy with AS400 during its .NET migration, with a roadmap toward API integration. Data Governance & Quality Implement the technical foundation for data governance – quality checks, metadata management, and master data validation. Embed business rules and validation logic directly within data pipelines. Define and manage data security and access controls (Azure and Power BI row 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 ❯

/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯