• To oversee the project, ensuring alignment with organisational objectives, managing risk and ensuring delivery.
  
• To act as an intelligent customer for the consultancy work, validating approaches and ensuring quality of delivery.
  
• Embed capability developed into the organisation. Define and agree an appropriate skills transfer and knowledge handover related to data governance frameworks, processes, and tools to ensure continuity and compliance post-contract.
  
• To advocate and promote the project, building consensus and developing internal skills.

• Strong understanding of data governance principles, frameworks, and best practices (eg DAMA, DCAM, CDMC).
• Experience leading data governance initiatives within a public sector or geospatial organisation.
• Knowledge of data management, data quality, metadata, and regulatory compliance.

• Ability to align data governance with UKHO's strategic objectives and articulate the business case for investment.
• Working with Business Change (and capabilities) to manage cultural change, ensuring that data governance is Embedded as a business priority.

3. Programme & Supplier Management

• Accustomed to working in programme/project management structures (MSP, Agile, or equivalent methodologies).
• Ability to manage external suppliers, ensuring they deliver agreed milestones and outputs as specified in the DGOM business case.
• Experience of budget management, risk assessment, and issue resolution to keep the project on track (to support project team).

• Experience of stakeholder engagement at executive and senior leadership levels across the organisation.
• Experience of working with technology, data, and business teams to ensure alignment of governance with operational needs.
• Excellent communication and influencing skills, capable of translating technical data governance concepts into clear business value.

• Experience in cloud data governance, managing data in hybrid cloud environments (in support of tech strategy).
• Knowledge of AI/ML governance requirements and associated data readiness.
• Experience of managing data operating model transformations at an enterprise level.