22 of 22 Contract Metadata Management Jobs in England

senior leadership. Champion data literacy and promote a culture of responsible data use organization-wide. Support the development of an AI Governance framework. Assist in data classification, master data management, metadata management, and data lineage efforts alongside data architects and analysts. Key Skills & Experience: Essential: Proven experience in data governance or data management roles. Strong understanding … of data quality, metadata, master data, and data lifecycle management. Excellent communication skills with the ability to simplify complex data concepts for business audiences. Demonstrated ability to engage and influence stakeholders at all levels, including senior executives. Experience in facilitating cross-functional collaboration and achieving consensus. Familiarity with data protection regulations (e.g., GDPR, EU Data Act). Proficiency in … data governance tools (e.g., Collibra, Informatica, Alation). Desirable: Certification in Data Governance or Data Management (e.g., DAMA, DCAM). Experience in change management and organizational transformation. Background in data analytics, business intelligence, or IT. Personal Attributes: Strategic thinker with a hands-on approach. Empathetic and adaptable communicator. Strong problem-solving and decision-making capabilities. Collaborative mindset focused More ❯

strategy, ensuring our data is accurate, secure, consistent, and compliant with regulatory standards. You will work across business and technical teams to embed best practices in data ownership, quality, metadata management, and stewardship. This is a strategic and hands-on role, ideal for someone passionate about data and its role in driving business value and regulatory compliance. Data … councils and working groups. Define and monitor data quality rules and manage exceptions. Ensure alignment with regulatory requirements (e.g., GDPR, BCBS 239, DORA). Oversee data lineage, cataloging, and metadata management using tools such as Collibra, Informatica, Microsoft Purview, or Alation. Support governance integration within platforms like Azure, Databricks, Microsoft Fabric, and BI tools. Promote data literacy and … exams. Report on data governance KPIs and maturity models to senior leadership. Data Governance Implementation Manager Required Skills and Experience: Proven experience in data governance, data quality, or data management within financial services. Experience with cloud platforms (Azure) and modern data stacks. Experience with data governance tools - Microsoft Purview preferred. Solid understanding of data architecture, modelling, and integration technologies. More ❯

programme. Key Responsibilities Lead technical architecture and solution design for data products and open data services Provide design leadership across a multi-disciplinary team Apply expertise in data cataloguing, metadata management, and open/licensed data portals Leverage understanding of AI developments to shape and enhance data services Work with open source tools and cloud infrastructure (AWS, Terraform … of 7-8 and a wider programme of 50 Essential Skills & Experience Proven experience with data products and open/licensed data portals Knowledge of data cataloguing systems and metadata management Familiarity with CKAN or similar platforms Strong solution architecture and technical design capabilities Experience leading multi-disciplinary teams Cloud and infrastructure experience (AWS, Terraform) Programming skills in More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

to fulfil the strategic data needs of the organisation, as defined by chief data architects. At this role level, you will: * design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy * provide input into data dictionaries * define and maintain the data technology architecture, including metadata, integration and business intelligence … architect) Level: working You can: * develop data standards for a specific component * analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Level: working You can: * work with metadata repositories to complete complex tasks such as data and systems integration impact analysis * maintain a repository to ensure information … remains accurate and up to date Problem management Level: working You can: * initiate and monitor actions to investigate patterns and trends to resolve problems * effectively consult specialists where required * determine the appropriate remedy and assist with its implementation * determine preventative measures Strategic thinking Level: awareness You can: * explain the strategic context of your work and why it is important More ❯

to fulfil the strategic data needs of the organisation, as defined by chief data architects. At this role level, you will: design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy provide input into data dictionaries define and maintain the data technology architecture, including metadata, integration and business intelligence … architect) Level: working You can: develop data standards for a specific component analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Level: working You can: work with metadata repositories to complete complex tasks such as data and systems integration impact analysis maintain a repository to ensure information … remains accurate and up to date Problem management Level: working You can: initiate and monitor actions to investigate patterns and trends to resolve problems effectively consult specialists where required determine the appropriate remedy and assist with its implementation determine preventative measures Strategic thinking Level: awareness You can: explain the strategic context of your work and why it is important 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 ❯

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 ❯

using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and master/reference data initiatives. Support data quality and remediation efforts. Facilitate stakeholder workshops and build strong relationships with end users. Communicate effectively across More ❯

using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and master/reference data initiatives. Support data quality and remediation efforts. Facilitate stakeholder workshops and build strong relationships with end users. Communicate effectively across More ❯

data structures. Desirable: Experience working in a cloud-based or hybrid data environment. Background in regulated sectors or large-scale enterprise data integration. Familiarity with data governance frameworks and metadata management. More ❯

Responsibilities Design and build data products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within … metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently and to manage multiple data tasks in a fast-paced More ❯

Responsibilities Design and build data products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within … metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently and to manage multiple data tasks in a fast-paced More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills … Experience: - Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in More ❯

Lead the upgrade, decommissioning, and archiving of data in accordance with data policies. - Collaborate with multidisciplinary teams to translate business problems into effective data solutions. - Maintain data dictionaries and metadata repositories to ensure information remains accurate and compliant. - Provide input into enterprise data governance, standards, and quality assurance processes. - Identify opportunities for innovation through data and emerging technologies. Skills … Experience: - Strong experience in data modelling, metadata management, and data standards. - Proficient in SAS tools, particularly SAS Viya 3.5, SAS RTENG, SAS Studio V, and SAS Enterprise Guide. - Familiarity with Oracle database environments and automated data ingestion practices. - Ability to reverse-engineer data models and conduct source system analysis. - Understanding of HMRC data processes or prior experience in More ❯

data governance across Risk and Finance domains. The rate is £500 inside IR35 and 3 days in office (London) Key Requirements: Strong experience in data governance, data quality, and metadata management Solid understanding of BCBS239 and regulatory reporting (e.g. LCR, COREP, PRA110) Exposure to Risk and Finance data domains Hands-on experience with tools like Collibra, SQL, Python More ❯

and procurement teams to identify duplicate parts and promote standardization. Interact with customer SMEs to ensure good understanding on their application landscapes, requirements & current challenges. Familiar with capabilities around metadata management, classification systems, part taxonomy, Should Cost assessments, Maintaining Product Score Card, Workflow Integrations to route to right engineer for reviewing the similar parts and take corrective actions More ❯

impactful solutions, we want to hear from you. Key Responsibilities Design and implement scalable, secure, and efficient data architectures. Define and enforce data governance standards, including data quality and metadata management. Collaborate with stakeholders to align data solutions with business objectives. Oversee data integration, ETL/ELT processes, and pipeline orchestration. Optimize data storage solutions across relational, NoSQL, and … lakes). Hands-on experience with data integration patterns and ETL/ELT processes. Proficiency in AWS data platforms and services. Solid understanding of data governance principles (data quality, metadata, access control). Familiarity with big data technologies (Spark, Hadoop) and distributed computing. Advanced SQL skills and proficiency in at least one programming language (Python, Java). Additional Requirements More ❯

models for energy planning, environmental impact assessments, and economic forecasting. Integrate community feedback and preferences into spatial decision-making tools. Create interactive dashboards and maps for stakeholder engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards … Familiarity with cloud-based GIS deployments and hybrid architectures. Desirable Skills/Knowledge/Experience Experience with community engagement tools and participatory GIS. Experience with Agile methodologies and project management tools. More ❯

and spatial data using ArcGIS Pro and ArcGIS Online. * Administer and maintain ArcGIS Server, including restarts, performance monitoring, and troubleshooting. * Maintain and update spatial datasets, including polygon editing and metadata management. * Collaborate with service areas to deliver bespoke spatial data and mapping solutions. Essential experience & skills: * Strong practical experience using the ESRI ArcGIS suite (Pro, Enterprise, Online). * Proven … ability to manage, publish, and maintain spatial datasets and map services. * Experience with ArcGIS Server administration and system support. * Solid understanding of spatial data management and GIS principles. * Excellent communication and stakeholder engagement skills. Desirable experience & skills: * Experience working in a local government or public sector environment . * Knowledge of FME, SQL, or other data transformation tools. * Understanding of … data governance and metadata standards . Interviews will be held w/c 3/11/2025. Please contact me via for more information or to apply. More ❯