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Mentor apprentices on an AI Champion programme by assessing progress, supporting portfolio development and EPA preparation, providing technical advice and regular feedback, contributing to curriculum content, safeguarding learners, and liaising with employers and the Delivery Team to drive AI adoption.

Lead and grow small autonomous engineering pods to own end-to-end product outcomes. Hire and onboard engineers, manage people and technical delivery, ensure sound architecture and incident management, partner with Product for readiness, coach a Tech Lead, and embed AI-assisted development practices while contributing technically off the critical path.

Lead employer-facing product and establish an internal data and reporting portfolio. Own roadmaps, backlogs, service levels for data products, and delivery readiness. Work embedded with engineering pods, hire and onboard the team, define data product standards, drive adoption of data-informed decisions, and manage senior stakeholders across the business.

Mentor apprenticeship learners to identify and implement AI-driven workflow improvements, assess progress against the apprenticeship standard, support portfolio and EPA preparation, provide technical support and mentoring sessions, report learner progress, and uphold safeguarding and equality responsibilities.

The Data Mentor provides technical support and feedback to apprentices, ensuring high standards in teaching, learning, assessment, and learner progression monitoring.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.