1 to 25 of 39 Metadata Management Jobs in the South East

to the implementation of data administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise … in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency and lifecycle management across SAP modules and related systems. Support data cleansing, enrichment, and harmonization … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to More ❯

to the implementation of data administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise … in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency and lifecycle management across SAP modules and related systems. Support data cleansing, enrichment, and harmonization … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to More ❯

scope of the Data Governance programme. Develop and maintain governance artefacts such as the Data Governance Charter, policies, standards, and metrics. Lead the implementation of data governance processes including metadata management, data quality, master data, and data classification. Own and maintain the enterprise Data Catalogue. Liaise with external stakeholders to ensure alignment with data handling requirements. Drive continuous … practices. Strong understanding of Data & Analytics disciplines and their strategic importance. Proven ability to work with both business and technical teams to define and implement governance requirements. Experience with metadata management, data quality tools, and master data management. Strong leadership, communication, and stakeholder engagement skills. Familiarity with data protection and compliance standards. What you'll get in return More ❯

Data Management Consultant Location: London Salary : Competitive salary package depending on experience Career Level: Consultant/Specialist, Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Consultant to join our Data & AI Practice. As a Data Management Consultant, you will be responsible for designing and implementing Master Data Management (MDM) solutions that support … business and technical stakeholders to ensure that MDM strategies align with organizational goals and deliver measurable value. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data More ❯

The Role We are seeking a Data Steward to ensure data quality, governance, and compliance across critical operational datasets, enabling reliable analytics and reporting. The role focuses on managing metadata, monitoring data reliability, and supporting business users in leveraging trusted and high-quality data. Key Responsibilities Data Governance & Stewardship Define and enforce data governance standards, policies, and processes across … operational datasets. Collaborate with business stakeholders to document business definitions, data ownership, and stewardship guidelines. Maintain data dictionaries, metadata, and lineage using Atlan. Data Management & Quality Serve as the technical lead for Data Management and Quality. Develop technical designs for data management frameworks and ensure integration within people, tools, and business processes. Monitor adherence to data … management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support Act as a bridge between business and technical teams, ensuring More ❯

metrics required for BCBS 239 compliance. Collaborate with senior stakeholders to assess data architecture maturity , identify gaps, and drive remediation plans. Contribute to the design and delivery of data management frameworks , including metadata, data ownership, and stewardship models. Support the development of management information (MI) and dashboards aligned with regulatory reporting obligations. Provide subject matter expertise on … risk data aggregation , data governance , and regulatory reporting frameworks . Background in Financial Services Regulation , with exposure to PRA/FCA , Basel , or EBA programmes. Solid grasp of data management principles (e.g. DAMA, EDM Council, DCAM). Experience collaborating with CRO, CFO, and Data Office functions to drive regulatory outcomes. Excellent stakeholder management and communication skills; ability to … translate complex requirements into actionable delivery. Desirable Familiarity with Basel III , IFRS 9 , Stress Testing , or Risk & Finance Integration programmes. Experience with data lineage tools or metadata management platforms (e.g. Collibra, Informatica, Ataccama). Knowledge of data quality frameworks and key risk metrics. Summary This role suits individuals who have played a tangible part in delivering BCBS More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

clients, ensuring client satisfaction through well thought out solutions with longevity in mind. · Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions. · Continuous Improvement: Stay up to date with the latest developments in technology changes within respective field/and … medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform to … or retail, which can help tailor data solutions more effectively to client needs.· Experience in building PowerBI semantic models for downstream visualisation consumption · Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards. A bit about youWe have a strong ethos of accountability, quality and More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

clients, ensuring client satisfaction through well thought out solutions with longevity in mind. · Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions. · Continuous Improvement: Stay up to date with the latest developments in technology changes within respective field/and … medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform to … or retail, which can help tailor data solutions more effectively to client needs.· Experience in building PowerBI semantic models for downstream visualisation consumption · Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards.If you require any support with your application, please contact recruitment@intuitaconsulting. More ❯

Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and strategically … Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric delivery models. Strong stakeholder management and communication skills, with the ability to align technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or … enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform). Understanding of regulatory frameworks such as GDPR, CCPA, and industry-specific compliance (e.g., HIPAA, PCI). Our benefits Hybrid working model; Private medical More ❯

Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and strategically … Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric delivery models. Strong stakeholder management and communication skills, with the ability to align technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or … enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform). Understanding of regulatory frameworks such as GDPR, CCPA, and industry-specific compliance (e.g., HIPAA, PCI). Our benefits Hybrid working model; Private medical More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java More ❯

scale data architecture projects, providing strategic direction and expert guidance. Partner with senior technology leaders to develop and implement modern data strategies. Design and deliver innovative solutions for data management, governance, and cloud migration. Oversee the development of robust data platforms using cutting-edge cloud technologies. Manage project teams, mentor junior staff, and support business development initiatives. Ideal Candidate … enterprise data architecture, strategy, and implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with a track record of success … in complex environments. Outstanding leadership and stakeholder management skills, with a collaborative and innovative mindset. Why Join Us? Work on transformative projects with leading financial institutions. Join a global network of data strategists, architects, and engineers. Enjoy a non-hierarchical, inclusive culture that values your expertise. Take advantage of extensive learning and career development opportunities. Access competitive family-friendly More ❯

Help shape the future of data governance at Stonewater. Were looking for a strategic and detail-oriented SDR Data Management Analyst to lead the delivery of our data management strategy and ensure confidence in our information assets. This is a key role where your expertise will directly support regulatory compliance and data integrity across the organisation. As the … standards. Expertise in data governance, BI/MI, and CRM systems, with a proven ability to align them to SDR requirements. Advanced knowledge of data quality frameworks, master data management, metadata, and reference data hierarchies. Proficiency in data validation, cleansing technologies, and lineage tracking. Familiarity with ETL/integration pipelines and validation of outputs for regulatory purposes. Excellent More ❯

and implementation of robust design guardrails, standards, and policies that balance both functional and non-functional requirements while managing relevant risks in system delivery. Demonstrate expertise in data models, metadata management, and data dictionaries. Possess in-depth knowledge of data systems and architectures, with an understanding of best practices for data management and maintenance. Utilize multiple data … design tools and methodologies. Stay abreast of advancements in digital information technology and their potential applications. Apply advanced analytics practices and methodologies. Proven experience in designing data models and metadata systems. Skilled at interpreting organizational needs and translating them into effective data solutions. Adept at providing oversight and expert guidance to data architects involved in the design and production … of data artifacts. Experienced in designing and supporting the management of data dictionaries. Lead the definition and ongoing enhancement of Data Architecture frameworks, ensuring alignment with broader enterprise architecture strategies. Own and manage the corporate data model and data catalog, establishing standards for data modelling and design. Provide assurance that all IT development (both internal and supplier-led) complies 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 ❯