The Head of Data Analytics, Automation, AI & Continuous Auditing (DAACA) is a leadership role within Internal Audit, responsible for defining and scaling data-driven capabilities across the audit lifecycle and within audit operations.
Requirements
- Define and execute the DAACA vision, strategy, and multi-year roadmap aligned to Internal Audit and enterprise priorities.
- Position DAACA as a core pillar of audit transformation, advancing continuous assurance and data-driven auditing.
- Identify and prioritize high-value use cases for analytics, automation, and AI across audits and enterprise risk themes.
- Establish and track KPIs/KRIs (e.g., adoption, coverage expansion, cycle time reduction, insight generation, cost efficiency, etc.).
- Drive value realization and ROI, demonstrating measurable impact to Audit Leadership and the Audit & Risk Committee.
- Embed analytics and automation into end-to-end audit lifecycle â risk assessment, planning, fieldwork, and reporting.
- Expand continuous assurance, shifting from point-in-time reviews to ongoing risk coverage.
- Standardize reusable analytics and control libraries to improve consistency and scalability.
- Partner with audit teams to increase coverage and reduce manual testing dependency.
- Oversee development and delivery of scalable, repeatable, and well-governed solutions.
- Implement a product-oriented operating model (e.g., use case backlog, prioritization, iterative delivery, etc.).
- Ensure strong data engineering, data quality, and documentation standards.
- Evaluate and optimize tooling ecosystem.
- Balance transformative initiatives with ongoing delivery (runâ vs âbuildâ).
- Lead responsible adoption of AI/GenAI within Internal Audit, include use case identification and deployment.
- Establish governance and controls framework(s) for AI usage in audit activities.
- Ensure alignment with enterprise AI, data governance, and model risk frameworks.
- Driver auditor upskilling on AI-enabled auditing techniques.
- Serve as a primary interface between Internal Audit and Technology, Data, AI, and Risk functions.
- Influence adoption by acting as a trusted advisor to audit leadership and business stakeholders.
- Partner with enterprise teams to leverage existing data assets, platforms, and capabilities.
- Support regulatory, QAIP, and stakeholder inquiries related to analytics, automation, and AI.
- Oversee development and delivery of scalable, repeatable, and well-governed solutions.
- Build and lead a high-performing multidisciplinary team (data analysts, data scientists, automation specialists, visualization experts, etc.).
- Define career paths, skill frameworks, and training programs aligned to future IA capabilities.
- Foster a culture of innovation, accountability, collaboration, and continuous improvement.
- Develop a network of âDAACA Championsâ embedded across audit teams to drive adoption.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
