Define and execute the DAACA vision, strategy, and multi-year roadmap aligned to Internal Audit and enterprise priorities.
Embed analytics and automation into end-to-end audit lifecycle – risk assessment, planning, fieldwork, and reporting.
Oversee development and delivery of scalable, repeatable, and well-governed solutions.
Lead responsible adoption of AI/GenAI within Internal Audit, including use case identification and deployment.
Serve as a primary interface between Internal Audit and Technology, Data, AI, and Risk functions.
Build and lead a high-performing multidisciplinary team (data analysts, data scientists, automation specialists, visualization experts, etc.).

Bachelor’s degree in a relevant field (e.g., Information Systems, Data Analytics, Engineering, etc.)
10+ years of experience in internal/external audit; 5+ years of experience implementing analytics, automation and/or AI within Internal Audit or Risk functions.
Experience in AI/GenAI use cases and governance considerations.
Proven ability to translate data/technology capabilities into business and audit value.
Strong understanding of audit lifecycle, risk management, and control frameworks.
Demonstrated people leadership and team development experience.
Experience with Python, SQL, Power BI/Tableau, Power Automate, Power Query, Alteryx, or similar tools.
Experience with Copilot Studio and Claude Cowork.
Experience in agile or product-based delivery models.
Professional certifications (e.g., CIA, CISA, CPA, etc.).

Head of Data Analytics, Automation, AI, Continuous Auditing

Key skills