Senior Manager, Internal Audit - Data Analytics

You are not just an analytics expert-you are a change leader. You see analytics as a force multiplier for Internal Audit, not a standalone function. You are equally comfortable discussing SQL logic, audit risk, and executive-level insights. You excel when working independently, take pleasure in developing teams and skills, and are driven by using data to change the way assurance is provided.

Position Overview

We are seeking a Senior Manager, Internal Audit - Data Analytics to build, lead, and scale the Internal Audit data analytics function. This role is responsible for designing, executing, and continuously evolving a data-driven audit strategy that embeds advanced analytics across the audit lifecycle from planning and risk assessment through execution, reporting, and continuous monitoring.

The Senior Manager will serve as the architect and owner of the Internal Audit analytics operating model, moving the function from traditional sampling approaches to full-population testing, continuous auditing, and automated assurance. This role requires a blend of operational internal audit expertise, advanced analytics capability, and leadership, with the ability to translate complex data into clear, risk-focused insights for senior stakeholders.

Key Responsibilities

Analytics Strategy & Operating Model

• Develop and execute a multi-year Internal Audit data analytics strategy aligned to the audit plan and enterprise risk priorities.

• Own and continuously evolve the Internal Audit analytics operating model, including intake, prioritization, development standards, reuse, governance, and sustainability of analytic solutions.

• Identify opportunities to expand audit coverage, efficiency, and assurance using data analytics and automation.

Audit Enablement & Continuous Auditing

• Embed analytics throughout the audit lifecycle, including risk assessment, audit planning, testing, reporting, and follow-up.

• Design and deploy automated audit procedures and continuous auditing / monitoring solutions that operate beyond the traditional audit cycle.

• Apply professional skepticism to assess data completeness, accuracy, and reliability used in audit testing.

Technical Execution & Data Architecture

• Lead the design and development of complex analytics using tools such as Alteryx, SQL, Tableau, Business Objects and those embedded in the Company's ERP to blend and analyze large, disparate data sets.

• Serve as the Internal Audit subject-matter expert for SQL-based analytics, including query design, data validation, and performance optimization.

• Build strong relationships across various functions to establish sustainable data feeds and effective data access, refresh schedules, and data quality controls supporting ongoing audit analytics.

People Leadership & Capability Building

• Establish formal training, upskilling, and knowledge-sharing initiatives to raise data literacy across the Internal Audit function.

• Balance hands-on analytics work with leadership and strategic oversight.

Stakeholder Management & Advisory

• Act as a strategic advisor to Internal Audit leadership on where and how analytics can most effectively enhance audit coverage and insight.

• Translate complex analytical results into clear, actionable, risk-based narratives for audit management, executives, and other stakeholders.

Value Measurement & Reporting

• Define and track key performance indicators (KPIs) to measure the impact of analytics on audit coverage, efficiency, and assurance.

• Regularly report analytics progress, results, and value delivered to Internal Audit leadership.

Innovation & Emerging Technologies

• Evaluate and pilot emerging technologies such as generative AI, process mining, and intelligent automation to further modernize Internal Audit practices.

• Stay current on industry trends, leading practices, and evolving technologies related to audit analytics and continuous assurance.

Required Qualifications

Experience

• 8+ years of combined experience in internal audit, data analytics, risk, technology, or related assurance roles.

• 4+ years of experience leading analytics initiatives or teams within Internal Audit or a similar risk function.

• Demonstrated experience embedding analytics into audit methodologies and delivering scalable, repeatable solutions.

Technical Proficiency

• Oracle experience strongly preferred.

• Alteryx (or Similar): Advanced ability to design workflows, macros, and analytic applications.

• Strong understanding of data governance, data quality, and control concepts.

• SQL: Strong hands-on experience querying and validating large data sets.

• Power BI (or similar): Experience querying and reporting from enterprise data warehouses.

• Tableau: Proven experience building automated, insight-driven dashboards preferred.

Audit & Risk Fundamentals

• Deep understanding of internal control frameworks (e.g., COSO, COBIT) and professional auditing standards.