Job Description Summary

The Internal Audit Senior Manager – Digital Technology & Cybersecurity will play a pivotal role in transforming and elevating GE Vernova’s internal audit capabilities. Reporting to the Internal Audit Director – Digital Technology & Cybersecurity, this position offers a hybrid work schedule and an opportunity to influence the future of audit within a global organization.

GE Vernova completed a significant transformation of its portfolio, leadership, operations, and culture in April 2024. A key priority in this transformation is the evolution of the Internal Audit function - shifting toward deep, data-driven, modern audit practices that serve as a strategic business partner to the Audit Committee and executive leadership, while continuing to foster talent development across the enterprise.

Job Description

Key Responsibilities

• Lead and develop a high-performing audit team through coaching, training, and mentorship to strengthen leadership capability and technical expertise

• Partner with executive leadership to align audit strategy and plans with enterprise risk priorities, enabling informed decision-making and driving operational excellence.

• Facilitate stakeholder engagement, leading meetings with key leaders to review risk management concepts, control design gaps, and audit findings.

• Oversee execution of a comprehensive audit plan, ensuring timely delivery and adherence to budget under the guidance of the Internal Audit Director.

• Manage team utilization and resources effectively to meet deadlines and optimize performance.

• Drive proactive project management, anticipating challenges and implementing solutions to maintain momentum.

• Guide audit teams in applying advanced methodologies, including analytics and automation tools, to enhance coverage and efficiency.

• Review and validate audit deliverables (e.g., scope letters, reports, workpapers) for clarity, accuracy, and compliance with IA standards.

• Champion continuous improvement through lessons learned sessions and feedback loops on methodology, tools, and training.

• Provide strategic insights to the Internal Audit Director and Chief Audit Executive to support stakeholder discussions and decision-making.

• Monitor and validate management action plans for audit observations to ensure timely remediation.

• Foster an inclusive and equitable team culture, enabling individuals to bring their full selves to work and maximize contributions.

• Stay ahead of emerging regulations and trends, adjusting audit plans and procedures to address evolving risk landscapes.

 

Required Qualifications

• Bachelor’s or master’s degree in accounting, finance, business administration, information technology, cybersecurity, or a related field.

• 10+ years of relevant internal audit or equivalent experience in industries such as Manufacturing, Medical Devices, Technology, Consulting or Financial Services, preferably with a Fortune 500 company or Big 4 assurance organization; with minimum 2 years in an Internal Audit leadership role.

• CPA, CIA, CISA, or CISM certification is strongly preferred.

• Strong working knowledge of industry and cybersecurity standards and frameworks, including NIST CSF, ISO/IEC 27001, COBIT, and CIS Controls.

• Solid understanding of IT operational functions and concepts, including Identity Access Management, IT Asset Management, Cybersecurity, and Data Privacy.

• Ability to travel domestically and internationally up to 15-20%.

 

Desired Qualifications

• Prior experience or exposure to audit and risk management practices and auditing tools (e.g., AuditBoard, Workiva).

• Strong understanding of legal, regulatory, and compliance requirements related to IT governance, data privacy (e.g., GDPR, SOX, sector-specific regulations).

• Experience in the energy sector, operational technology, and manufacturing environments.

• Exceptional listening, verbal, written, and presentation skills with the ability to communicate effectively across all levels.

• Lean process mindset with a passion for continuous improvement in operations.

• Familiarity with data analytics tools and techniques