Apprenticeships

AI Strategy & Organisational Direction

Define, document and communicate an organisation-wide AI strategy aligned to organisational goals, values and risk appetite, including prioritised use cases, benefits realisation measures and delivery milestones.

AI Procurement, Investment & Adoption

Make evidence-based investment and procurement decisions for AI tools, platforms and suppliers, applying fair evaluation criteria and addressing long term risks (e.g., vendor lock-in, contractual assurance, data/IP terms, resilience and exit planning).

Governance, Ethics & Responsible AI

Sponsor and operate a governance framework that safeguards lawful, ethical and responsible AI use, embedding ethical principles, accountability, transparency and assurance into organisational decision-making.

Enterprise Risk, Aidit & Incident Readiness

Oversee AI risk management within the organisation’s enterprise risk framework, ensuring audit readiness, effective incident response, and continuous monitoring of AI-related risks.

Leadership, Delivery & Organisational Change

Lead cross-functional teams to deliver AI-enabled organisational change, balancing innovation with practical implementation constraints and aligning delivery with strategic objectives.

Comunication, Trust & External Engagement

Represent the organisation credibly in external AI discussions (regulators, partners, sector bodies and the public). Anticipate and prepare for evolving AI regulation by monitoring regulatory change, embedding compliance readiness into business processes, and maintaining up-to-date knowledge of emerging AI technologies and practices.

Workforce Transformation & Capability Building

Plan and manage workforce transformation resulting from AI adoption, including role impact assessment, engagement strategies, and targeted upskilling and reskilling to support accountable AI-enabled work.