16 of 16 Remote Contract Metadata Jobs

optimize performance, scalability, and compliance. Key Skills & Experience: Proven experience (8+ years) as a Data Architect, Data Strategy Consultant, or similar role. Strong understanding of data governance, data management, metadata management, and data quality principles. Demonstrated experience delivering data strategies for M&A or corporate restructuring (merger/demerger) projects. Expertise in data discovery, data lineage, and data mapping activities. More ❯

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 and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance with data privacy and security standards. Implement secure data sharing protocols with More ❯

in transformed datasets. Collaborate with architects, analysts, and stakeholders to ensure semantic alignment and data accuracy. Ensure compliance with data governance, privacy, and security standards. Document processes and maintain metadata for traceability. Essential Requirements: UK National with at least 5 years of UK residency (due to clearance requirements). Strong hands-on experience with XML, XSLT, and data transformation tooling. More ❯

and governance frameworks that enable AI and ML systems Partner with Data Scientists, ML Engineers, and Software Engineers to deliver AI Lead data platform modernisation efforts Define data standards, metadata, lineage and quality frameworks Collaborate with stakeholders to align data strategy Data Architect, financial services, AI Reasonable Adjustments: Respect and equality are core values to us. We are proud of More ❯

and governance frameworks that enable AI and ML systems Partner with Data Scientists, ML Engineers, and Software Engineers to deliver AI Lead data platform modernisation efforts Define data standards, metadata, lineage and quality frameworks Collaborate with stakeholders to align data strategy Data Architect, financial services, AI Reasonable Adjustments: Respect and equality are core values to us. We are proud of 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 technical and 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 technical and More ❯

process — from data intake and engineering through to manufacturing and delivery. What you’ll be doing: Reviewing the current SharePoint setup and documenting architecture and workflows Improving site structure, metadata and data capture processes Optimising lists and libraries for better performance and usability Refining Power Platform workflows for efficiency and scalability Adding validation rules to strengthen data integrity and traceability More ❯

triage and manage documentation lifecycle (e.g., maintain, archive, obsolete). Work closely with Document Controllers and service provider admins to implement disposition actions and track them to closure. Align metadata between internal and external DMS platforms to ensure lifecycle consistency. Drive improvements in external DMS functionality and design. Implement formal archiving processes for external documentation. Guide business users in accessing More ❯

triage and manage documentation lifecycle (e.g., maintain, archive, obsolete). Work closely with Document Controllers and service provider admins to implement disposition actions and track them to closure. Align metadata between internal and external DMS platforms to ensure lifecycle consistency. Drive improvements in external DMS functionality and design. Implement formal archiving processes for external documentation. Guide business users in accessing More ❯

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 or data warehouse architecture Communicating between the technical and non-technical Level: working Working is the second of 4 ascending skill levels You can: * communicate effectively … 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 More ❯

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 or data warehouse architecture Communicating between the technical and non-technical Level: working Working is the second of 4 ascending skill levels You can: communicate effectively … 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 More ❯

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 principles , regulatory expectations … 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 ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

the operational source system of the Care Service: . The data model to support the service. . Understanding data quality standards that need to be applied. . Creating a metadata capability. Answering questions such as: How can we interface with Legacy untrusted data? How can we minimise the manual processing of data and impact on agents? How can we verify … information via other government departments and third parties? Ensuring we have trusted, accessible data that is furnished with metadata so that it is more automatically reusable, and where decisions could be made upon the data. Ensuring data can support potential AI initiatives Creating architectures to support rapidly testing the core risks and assumptions of the service Creating architectures and associated More ❯

to gather and translate requirements into conceptual and logical data models Participate in data modelling forums to propose and review new data concepts and attributes Support data catalogue and metadata enrichment activities Ensure adherence to data modelling standards and best practices Essential Skills & Experience 10+ years in conceptual and logical data modelling Proven experience with data modelling tools (e.g. ER … lineage, and quality standards Experience in regulated environments (e.g. ECB, GDPR compliance) Desirable Hands-on experience with ER/Studio Exposure to regulatory or risk data programmes Knowledge of metadata standards and catalogue tools (e.g. Alation) Understanding of Domain-Driven Design (DDD) principles If youre a seasoned data professional who thrives on creating clarity and structure within complex financial data More ❯