Audit Director - AI Adoption, Continuous Improvement and Awareness

For additional information, please review . Identify opportunities for AI adoption and experimentation for Internal Audit's assurance practices, connect with industry peers, and align with external best practice. Drive continuous improvement in AI adoption approach and practice, including performing lessons learned from assurance work, providing industry insights, and coordinating external engagement. Drive education and awareness to embed AI in assurance and partner with IA Learning & Development teams. Develop structured programmes to upskill assurance teams. Work with Ai Tooling & Execution team to refine AI assurance methods and tools to adapt to business, regulatory, and technological change. Partner with IA teams to ensure that operational requirements are met for effective deployment on high-impact GenAI solutions for assurance tests. Working with assurance delivery teams to identify, implement, and drive the adoption of specific AI-enabled assurance tests, thereby strengthening and driving efficiency in audit delivery. Perform post-deployment user experience and lessons learned to enable continuous improvement. Build and maintain effective AI adoption metrics to support oversight and risk management Support the broader teams AI assurance mandate. Attract, develop, and retain talent; recommending staffing levels required to fulfil responsibilities effectively while establishing and adhering to talent management processes and compensation and performance management programs. Work across IA to maximize the efficiency and effectiveness of resources. Provide local site leadership encouraging engagement and collaboration across all IA organizations. Support and endorse the Quality Assurance (QA) function of IA, and resolve issues found by QA, improving audit processes and coverage. Develop and maintain strong working relationships across other IA teams and Regulators. Build trust through proactive and transparent interactions while maintaining strong relationships with regulators aligned to Internal Audit. Participate and share relevant knowledge and insight, on an ongoing basis, within and across IA teams, to drive the consistent application of the methodology, consistency of audit opinions, higher efficiency, and improved quality of overall assurance. Experience of AI technology adoption and experimentation Extensive experience in a related role. Good understanding of internal audit processes, lines of defence and audit practices. In-depth understanding of GenAI/AI and machine learning concepts, algorithms and techniques, and AI/ GenAI lifecycle. Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar. AI-related certifications are a plus. Executive presence and expert in building and maintaining strong open relationships with executive stakeholders, working as a partner, exerting influence and providing credible challenge in a constructive manner. Ability to quickly comprehend the full risk implications of complex global issues, escalate to the appropriate level and provide advice and on pragmatic commercial solutions. Outstanding performer, open minded, resilient, agile, energetic, self-starter, articulate and empathetic whilst being confident to deliver opinions to bring about positive outcomes. Strong leadership skills including a track record of identifying and developing world class talent. Experienced in leading large, dispersed and diverse professional teams. Demonstrated success in business, functional and people management. Consistently demonstrates clear and concise written and verbal communication. Demonstrated ability to remain unbiased in a diverse working environment. Effective negotiation skills. Bachelor's degree/University degree in law, ethics, decision science, computer science, data science, finance, accounting or a related field, or equivalent experience. Master's degree preferred.