Director, AI and Data Analytics, Internal Audit
Core
Lead the strategic transformation of Internal Audit into an AI-native function by driving AI/ML implementation, overseeing data science initiatives, and embedding analytics into audit practices.
Role type
Director, AI and Data Analytics (Internal Audit)
Builds
AI/ML solutions for anomaly detection and control testing, enterprise audit dashboards, and a Data-Analytics Self-service platform.
Domain
Manufacturing / Internal Audit / AI & Data Science
Deliverable
production ML models | dashboards & analysis
Required skills
AI/ML strategy, data engineering, team leadership (managers + ICs), stakeholder management, AI governance, fraud analytics, manufacturing domain experience, training program design
Preferred skills
Generative AI implementation, Agentic AI, Power BI, Snowflake, Python, SQL, global stakeholder collaboration
Technologies
Python, SQL, ML frameworks, Power BI, Tableau, Snowflake
Responsibilities
Define and drive the AI adoption roadmap for Internal Audit; lead the design and deployment of AI/ML solutions for audit objectives; manage a team of 4–5 technical resources; establish governance and quality standards for AI models; present strategy and results to senior executive stakeholders.
Seniority
Director, hands-on leadership
