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Apprenticeship training course

AI leadership – Developing AI strategy – Apprenticeship unit (level 5)

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Information about AI leadership – Developing AI strategy – Apprenticeship unit (level 5)

This apprenticeship unit is for individuals in, or aspiring to, leadership roles responsible for setting direction, governance and oversight for AI use who, with the support of their employer, need upskilling in AI leadership literacy, defining organisational AI priorities and leading organisational change.

Knowledge, skills and behaviours
View knowledge, skills and behaviours

Technical knowledge

  • Understand how to develop and implement organisational AI strategy and plans, including approaches to, workforce development taking and managing risk, monitoring and evaluation, and quality assurance. 
  • AI and automation concepts and models that support leadership decision-making, and their limitations. The impact adoption may have on workplace culture and wellbeing.
  • Principles and practices for the long-term monitoring of AI and automation solutions to ensure organisational learning. Including detection and mitigation of risks such as model drift, emerging bias, degraded performance, and security vulnerabilities.
  • The capabilities, risks and implications of adopting on-premise, cloud-based and third-party solutions.
  • Crisis and risk management strategies including accountability and technological implications.
  • Principles of human oversight and human AI collaboration to achieve shared outcomes.
  • Engagement and training approaches used with non-technical staff to understand their roles, responsibilities, and concerns when AI automation solutions are proposed, in support of strategic AI governance decisions.
  • Legislation, regulation, governance and assurance frameworks that support the safe adoption of artificial intelligence.
  • Principles for operationalising sustainable AI solutions to support organisational strategies and objectives.
  • Governance principles to ensure accountability and compliance, including defining roles and responsibilities to identify, escalate and mitigate threats or risks to assets, data and cyber security.
  • Assurance and compliance arrangements, including documentation expectations, structured risk assessments, aligning with recognised AI assurance and governance frameworks. The importance of auditability, transparency, and accountability in organisational contexts.
  • The capabilities, benefits and risks of automation, AI and digital tools including responsible use, ethical considerations and the potential impact on the workforce.
  • How to assess the viability of solutions when making acquisition decisions, for example testing and evaluating solutions, using test data and results, feasibility (time, cost, data quality and process maturity), and user testing.
  • The role of organisational leadership in responsible AI adoption, including setting values, policy, and strategy. The business case for ethical AI adoption, including reputational risk, staff engagement and morale, and long-term sustainability.
  • Approaches to maintaining awareness of existing, evolving and emerging AI technologies and sector trends for example peer learning, online forums, AI tool release notes, to inform strategic AI decisions.

Technical skills

  • Horizon scan to identify new developments that have implications for AI use.
  • Lead deployment of AI and automation strategies, including measures to deal with the impact of automation for example workforce engagement, retraining, redeployment, or upskilling of affected staff.
  • Identify organisational improvements and opportunities for innovation and growth, using qualitative and quantitative analysis of information and data.
  • Set strategic direction for AI and gain support for it from key stakeholders.
  • Apply principles relating to ethics and values-based leadership and governance and regulatory compliance.
  • Define expectations for testing and feedback to ensure reliability, security, accessibility of AI systems, and alignment with organisational needs.
  • Ensure business needs are aligned with technical capabilities, to ensure solutions are scalable, efficient, and aligned with the organisation’s strategic objectives.
  • Use evidence to inform governance of AI adoption, outcomes and facilitate improvement.
  • Use project management principles, techniques and tools to support the development of clear, balanced AI communications and briefings, articulating both opportunities and risks.
  • Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology to support the evaluation of vendor and supplier solutions.
  • Ensure sustainable and efficient AI and automation solutions.
  • Commission analysis to identify if AI adoption is viable. Evaluate assessments of risks and unintended consequences of AI automation projects, such as the impact on job roles.
  • Apply regulatory, legal, ethical and governance considerations when evaluating AI recommendations at each stage of the AI adoption process.
  • Lead and respond in a crisis situation using risk management techniques.
Apprenticeship category (sector)
Digital
Qualification level
5
Equal to higher national diploma (HND)
Course duration
90 months
Funding
£1,000
Maximum government funding for
apprenticeship training and assessment costs.
Job titles include
  • Ai integration officer
  • Automation enablement consultant
  • Business process support executive
  • Digital automation specialist
  • Digital operations technician
  • Digital productivity consultant
  • Junior innovation consultant
  • Process automation analyst
  • Technology operations coordinator
  • Workflow solutions assistant
  • Manager
  • Senior Manager
  • Head of Department
  • Operations Manager
  • project manager
  • delivery manager
  • Ai engineer
  • Big data engineer
  • Machine learning engineer
  • Machine learning operations engineer
  • Associate director
  • Business unit head
  • Chief executive officer
  • Chief financial officer
  • Chief information officer
  • Chief operating officer
  • Divisional head
  • Executive director
  • He registrar
  • Head of department/faculty
  • Warrant officer

View more information about AI leadership – Developing AI strategy – Apprenticeship unit (level 5) from the Institute for Apprenticeships and Technical Education.