9 of 9 Remote Contract Metadata Management Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯