ionq
Senior Manager Internal Audit - IT
At a Glance
- Location
- College Park, Maryland, United States
- Compensation
- ry range for this position is $128,445 - $167,497. The total compensation packa
- Posted
- 2026-03-09T17:45:32-04:00
Key Requirements
Required Skills
Certifications
- ISO
Domain Knowledge
- Government
- Manufacturing
Benefits & Perks
matching 401K, unlimited PTO and paid holidays, parental/a
Requirements
Framework Mastery: Deep understanding of COBIT, NIST, ISO 27001, and the COSO Internal Control Framework.
Influencing Without Authority: Exceptional "executive presence" with the ability to translate complex "tech-speak" into actionable business risks for senior leadership and IIA Standards.
M&A Track Record: Proven experience managing IT control transitions during business combinations or system consolidations.
Industry Savvy: Strong background in manufacturing or organizations engaged in government contracting.“Nice-to-haves” / desired or preferred experience
Modern Audit Toolkit: Hands-on experience with SQL, Python, or AI-based audit tools (e.g., Alteryx, MindBridge, or custom GPT agents).
Systems & Data: Proficiency in ERP systems (Netsuite/Oracle, Snowflake/DataBricks)
Responsibilities
Innovation, AI & Audit Transformation
AI-Enabled Control Testing: Architect and implement AI/Machine Learning models to transition from manual sample-based testing to 100% population testing.
Annual SOX Audit: Lead SOX IT control design and operating effectiveness including identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment
Audit Workflow Automation: Leverage Generative AI and Robotic Process Automation (RPA) to automate the documentation of walkthroughs, drafting of audit reports, and the mapping of controls to regulatory frameworks.
Continuous Control Monitoring (CCM): Partner with IT to build real-time dashboards that monitor key risk indicators (KRIs), moving the department toward a "continuous audit" model.
Predictive Risk Insights: Use data signals to identify emerging risks in the Quote-to-Cash and Manufacturing cycles before they manifest as material weaknesses.