Lead Internal Audit, Automation and Analytics

Key Responsibilities

• Developing AI-enabled and automation-driven audit solutions that improve the efficiency, depth, and consistency of audit procedures.
• Designing and implementing automated SOX control testing routines across critical financial reporting processes.
• Supporting operational risk-based audits through data analytics, exception identification, root-cause analysis, and continuous monitoring techniques.
• Integrating analytics outputs into AuditBoard workpapers, SOX testing workflows, issue tracking, and audit reporting processes.
• Building a reusable library of audit analytics procedures, automated scripts, dashboards, and documented testing logic.
• Collaborating with Internal Audit leadership to identify high-value automation opportunities across SOX compliance, operational audits, and advisory engagements.
• Coeorning with IT, Finance, Risk Management, SOX stakeholders, and business process owners to obtain data, validate results, and support the remediation of identified issues.
• Establishing appropriate governance over audit automation, including documentation standards, change control, evidence retention, data quality validation, and reviewer sign-offs.
• Enhancing continuous auditing and monitoring capabilities across key business processes such as Procure-to-Pay, Financial Close, Inventory, Payroll, and system access controls.
• Assisting with SOX walkthroughs, design and operating effectiveness testing, deficiency evaluation, and control optimization opportunities.
• Conducting risk-based audits as needed to support Internal Audit in delivering the overall plan.
• Supporting operational audits by applying analytics to improve scoping, testing precision, and insight generation.
• Promoting the responsible and controlled use of AI within Internal Audit, including necessary human reviews, confidentiality safeguards, and defensible audit documentation.
• Training and coaching Internal Audit team members on analytics, automation, Tableau dashboards, and data-driven audit techniques.
• Staying informed about emerging trends in audit analytics, artificial intelligence, automation, SOX compliance, internal controls, and technology-enabled assurance.
• Supporting the continuous improvement of the Internal Audit methodology, tools, templates, and reporting practices.
• Undertaking additional projects and initiatives as required by Internal Audit leadership.

Occupational Experience & Education Requirements

• Bachelor’s degree in accounting, Finance, Business Administration, or a related field.
• CPA, CISA, CIA, or equivalent certification preferred.
• Minimum of 5-6 years of progressive internal audit experience.
• Additional commercial experience is highly desirable.
• Previous experience in Internal Audit, SOX compliance, external audit, IT audit, data analytics, or technology-enabled assurance.
• Strong understanding of SOX / ICFR requirements, COSO internal control principles, and risk-based audit methodologies.
• Demonstrated ability to design and execute automated control testing procedures.
• Experience working with Oracle ERP data, including modules such as General Ledger, Accounts Payable, Accounts Receivable, Procurement, Inventory, Fixed Assets, and HR/Payroll.
• Knowledge, Skills, Attributes: Proficiency in Tableau or similar data visualization tools; Strong SQL, Excel, and data analysis skills; Ability to validate data completeness and accuracy, document testing logic, and ensure audit evidence is repeatable and defensible; Familiarity with continuous auditing, continuous monitoring, anomaly detection, exception reporting, and key risk indicator development; Awareness of AI governance, responsible AI use, data confidentiality, and risks associated with automated decision-support tools; Strong analytical and problem-solving skills, with the ability to identify patterns, trends, anomalies, and root causes from large datasets; Ability to translate technical data outputs into clear audit observations, business risks, and practical recommendations; Strong written and verbal communication skills, including the ability to present complex analytics in a concise and business-friendly manner; High attention to detail, strong documentation discipline, and commitment to audit quality; Project and time management skills, with the ability to manage multiple priorities and deliver within defined timelines; Strong stakeholder management skills, including the ability to collaborate effectively with IT, Finance, Operations, and control owners; Ability to challenge existing practices constructively and identify opportunities to improve efficiency and control effectiveness; Strong professional judgment, integrity, confidentiality, and objectivity; and Ability to coach and support audit team members in the adoption of analytics, automation, and AI-enabled audit practices.

Additional Experience

• Experience with AuditBoard or similar audit management / GRC platforms.
• Experience with data analytical tools and AI.
• Proficiency in Tableau or similar data visualization tools.