Senior Manager, Internal Audit
About The Position
The Senior Manager of Audit Capabilities and Technology leads the modernization of Internal Audit through the strategic adoption of AI, data analytics, and automation. The role partners with audit leadership and business stakeholders to enhance audit quality, efficiency, and insight generation, helping shift Internal Audit to a digitally enabled, risk-focused, and forward-looking function. The position defines and executes the Internal Audit technology and innovation roadmap, develops technology-enabled audit approaches, modernizes audit methodologies and tools, and supports audit teams in applying analytics and automation across the audit lifecycle. It also builds audit innovation capabilities, develops team skills, and ensures the use of AI and analytics aligns with internal controls, SOX requirements, COSO, and applicable regulatory expectations. The role is hybrid, with in-office work Monday through Thursday and remote work Fridays. Travel and extended hours may be needed for key initiatives.
Requirements
- Bachelor’s degree in Accounting, Finance, Information Systems, Data Analytics, or a related field.
- 7–10+ years of experience in Internal Audit, risk, consulting, or related roles, with strong exposure to technology and data analytics.
- Deep understanding of internal controls, SOX, and COSO frameworks.
- Deep understanding of audit methodologies and risk-based auditing.
- Deep understanding of data analytics and visualization tools, such as Power BI, SQL, Python, and Alteryx.
- Experience driving automation and/or AI-enabled solutions within audit or risk functions.
- Strong leadership, project management, and stakeholder engagement skills.
- Proven ability to translate complex data insights into clear, actionable business recommendations.
Nice To Haves
- Professional certification such as CPA, CIA, CISA, or equivalent.
- Experience with AuditBoard or similar audit management platforms.
- Familiarity with AI governance, model risk management, and data ethics.
- Experience in utilities or regulated environments.
Responsibilities
- Define and execute the Internal Audit technology and innovation roadmap in alignment with business and risk priorities.
- Drive adoption of AI, advanced analytics, and automation across the audit lifecycle.
- Identify opportunities to improve audit effectiveness, coverage, and efficiency through digital capabilities.
- Design and implement data-driven audit approaches, including continuous auditing and monitoring.
- Lead development and deployment of analytics use cases, such as anomaly detection and predictive risk indicators.
- Evaluate and govern the use of AI tools in audit, including scoping, testing, and documentation, while ensuring compliance with internal policies and regulatory expectations.
- Partner with IT and data teams to improve data access, quality, and governance for audit.
- Modernize audit methodologies to include technology-enabled procedures and best practices.
- Optimize the use of platforms such as AuditBoard, Power BI, and automation tools.
- Establish standardized digital audit playbooks, templates, and frameworks.
- Partner with audit teams to embed analytics and automation into audits end-to-end.
- Provide subject matter expertise on complex audits involving systems, data, and emerging technologies.
- Enhance SOX and operational audit testing through automation and data analytics.
- Collaborate with senior leadership to promote a data-driven, insight-oriented audit function.
- Communicate the value of audit innovation through clear, executive-ready insights and reporting.
- Build relationships with IT, Data, Finance, and business leaders.
- Ensure AI and analytics use aligns with internal controls, SOX requirements, and the COSO framework.
- Support governance over emerging risks, including AI, cybersecurity, data privacy, and model risk.
- Assist with external audit coordination related to technology-enabled controls and testing.
- Build and lead a high-performing audit innovation capability.
- Upskill audit teams on data literacy, analytics tools, and AI adoption.
- Foster a culture of continuous improvement, experimentation, and innovation.
Benefits
- Competitive compensation and incentive opportunities.
- Comprehensive benefits beginning on Day 1.
- 401(k) and stock purchase plan.
- Flexible time off and 11 holidays.
- Employee discounts, including energy plans.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
