practices, ensuring high-quality, reliable data is available for critical reporting, AI model training and data transformation. Ensure that data stewardship practices are applied to new data initiatives, including metadata capture, quality controls, and data privacy measures. Lifecycle Integration: Ensure that AI and data governance standards are fully integrated into the development lifecycle, from initial design through to deployment and 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 ❯
deployment approaches (e.g. cloud container services (preferred), Docker or Kubernetes) and CI/CD practices. experience working with public-facing data platforms or open data services, including data modelling, metadata, or data standards. the ability to pass security clearance, backed by the right to work in the UK About The Team Within PDS, the Data & Search Team enables data-driven … cloud container services (preferred), Docker or Kubernetes) and CI/CD practices. Criterion 6 (Desirable) Experience working with public-facing data platforms or open data services, including data modelling, metadata, or data standards. Criterion 7 (Desirable) Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, Bicep, ARM, or CloudFormation) and data observability or monitoring practices. More ❯
