Internal Audit Data Analytics Manager

Drive Audit Innovation & AI Adoption 

• Drive the adoption of Data Analytics, AI, automation, and emerging technologies across Internal Audit.  

• Identify and prioritize opportunities to enhance audit coverage, risk insights, quality, and efficiency through technology.  

• Develop and scale practical solutions, including AI-enabled audit assistants, intelligent analytics, automated testing, and workflow automation.  

• Challenge traditional audit approaches by introducing innovative technologies, including agentic AI, and implementing high-value solutions with appropriate governance and oversight. 

Expand the Audit Analytics Portfolio 

• Partner with audit teams to translate business risks, controls, and audit objectives into effective data, analytics, and technology solutions.  

• Collaborate with business, D&IT, and delivery partners to ensure reliable data access, govern solution quality, and maintain the Internal Audit Analytics Catalog. 

• Develop reusable analytics and conduct enterprise-wide analyses to identify emerging risks, control gaps, anomalies, and process improvement opportunities. 

• Design and deliver end-to-end analytics capabilities, including data pipelines, dashboards, automated testing, and AI-enabled tools. 

Enable Data-Drive Audit Delivery 

• Deliver advanced audit analytics, including population testing, anomaly detection, trend analysis, and other data-driven assurance procedures. 

• Act as a trusted subject-matter expert and coach auditors in the effective use of analytics, automation, and AI solutions 

• Help auditors interpret analytics results and translate them into actionable audit insights and recommendations 

• Develop dashboards, risk indicators, and continuous auditing solutions that enhance audit insights and decision-making. 

Strengthen Foundations & Continuous Improvement 

• Apply engineering best practices and continuously enhance solutions based on user feedback, performance, and evolving business needs. 

• Maintain and govern analytics assets and documentation to ensure long-term sustainability and supportability. 

• Document data sources, transformation logic, assumptions, validation procedures, and known limitations. 

Why This Role Matters 

Internal Audit’s value increasingly depends on its ability to connect risk signals across markets, analyze full populations, and respond at the pace of the business. This role helps make that capability repeatable and trusted — reducing avoidable manual effort while preserving the quality, security, and professional judgment on which effective assurance depends.