Jobs in the United States

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Columbus, OH · Dayton, OH · Akron, OH · Youngstown, OH · Toledo, OH · Defiance, OH · Canton, OH · Athens, OH · Lima, OH · Norwalk, OH · Mansfield, OH · Springfield, OH · Wooster, OH · West Chester, OH · Newark, OH · Zanesville, OH · Portsmouth, OH · Cincinnati, OH · Middleburg Heights, OH
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Senior Manager, Internal Audit

Houston, TX, United States

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Job details

Experience: 7–10+ years of experience in Internal Audit, risk, consulting, or related roles with strong exposure to technology and data analytics
Posting language: English

Original job description

Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier - helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.

Position Summary:

The Senior Manager of Audit Capabilities and Technology leads the modernization of Internal Audit through the strategic adoption of AI, data analytics, and automation. This role partners with audit leadership and business stakeholders to enhance audit quality, efficiency, and insight generation shifting Internal Audit to a digitally enabled, risk-focused, and forward-looking function.

Key Responsibilities:

Audit Transformation & Strategy

Define and execute the Internal Audit technology and innovation roadmap, aligned to business and risk priorities
Drive adoption of AI, advanced analytics, and automation across the audit lifecycle
Identify opportunities to enhance audit effectiveness, coverage, and efficiency through digital capabilities

AI, Analytics & Automation Enablement

Design and implement data-driven audit approaches, including continuous auditing/monitoring
Lead development and deployment of analytics use cases (e.g., anomaly detection, predictive risk indicators)
Evaluate and govern the use of AI tools in audit (e.g., scoping, testing, documentation) ensuring compliance with internal policies and regulatory expectations
Partner with IT and data teams to improve data access, quality, and governance for audit

Audit Methodology & Tools

Modernize audit methodologies to embed technology-enabled procedures and best practices
Optimize use of platforms (e.g., AuditBoard, Power BI, automation tools)
Establish standardized digital audit playbooks, templates, and frameworks

Execution Support & Integration

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

Stakeholder Engagement & Influence

Collaborate with senior leadership to promote a data-driven, insight-oriented audit function
Communicate value of audit innovation through clear, executive-ready insights and reporting
Build strong relationships with IT, Data, Finance, and business leaders

Governance, Risk & Compliance

Ensure AI and analytics use aligns with internal controls, SOX requirements, and COSO framework
Support governance over emerging risks (AI, cybersecurity, data privacy, model risk)
Assist with external audit coordination related to technology-enabled controls and testing

Team Leadership & Capability Building

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

Required Qualifications:

Bachelor’s degree in Accounting, Finance, Information Systems, Data Analytics, or 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
Audit methodologies and risk-based auditing
Data analytics and visualization tools (e.g., Power BI, SQL, Python, 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

Preferred Qualifications:

Professional certifications (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

Working Model:

Hybrid (in-office Monday to Thursday, remote Fridays)
Travel and extended hours as needed for key initiatives

Why NRG:

Industry-recognized culture (Forbes Best Employer)
Competitive compensation + incentive opportunities
Day 1 comprehensive benefits
401(k) + stock purchase plan
Flexible time off + 11 holidays
Employee discounts, including energy plans

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.

We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.

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