Data Governance Analyst

Full Time
  • October 14, 2026
  • Employment Info

    JOB  DETAILS

    Requirements
    • Support the definition, refinement, and ongoing enhancement of BT’s data management framework.
    • Collaborate with Divisional and Group teams on data management framework and best practice
    • Translate framework elements into practical processes that can be embedded across Projects, IT, Analytics, and AI workflows.
    • Work with project teams to integrate data governance checkpoints, quality controls, metadata requirements, and lineage considerations into delivery practices.
    • Partner with IT and analytics teams to ensure data management principles are applied during system changes, data migrations, AI model development, and platform uplift activities.
    • Support the operationalisation and monitoring of:+ AI Risk Management Standard, including risk assessment activities for AI-enabled solutions.
    • Support the operationalisation of the Data Risk Management Policy, helping teams understand obligations related to quality, privacy, access, and security.
    Responsibilities
    • Support the Data governance activities in strengthening BT’s data foundations and embedding data management practices across delivery workflows.
    • Operationalise data governance and uplift data capability across the organisation.
    • Ensure compliance with AI Risk Management Standard and Data Risk Management Policy.
    • Work closely with Data & Analytics, IT, Projects, AI teams, and business stakeholders to establish a consistent, scalable approach to managing and governing data across core systems.
    • Translate framework elements into practical processes embedded across Projects, IT, Analytics, and AI workflows.
    • Work with project teams to integrate data governance checkpoints, quality controls, metadata requirements, and lineage considerations into delivery practices.
    • Partner with IT and analytics teams to ensure data management principles are applied during system changes, data migrations, AI model development, and platform uplift activities.
    • Work with stakeholders to establish a consistent, scalable approach to managing and governing data across core systems.

     

     

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