Internal IT Auditor, Senior

Your Role

The Senior Internal IT Auditor leads and executes audit engagements, serving as a subject matter resource and ensuring high-quality audit delivery across technology and cybersecurity domains.

Your Knowledge and Experience

• Requires a Bachelor's degree or High School Diploma/GED and 4 years of additional relevant experience in lieu of a degree
• Requires a minimum of 5 years of prior relevant experience
• Basic competence and knowledge with support from others of: Financial Accounting and Finance Concepts, Managerial Accounting, Regulatory, Legal and Economics, Quality Framework, Ethics and Fraud, Information Technology, Governance, Risk and Controls, Organizational Theory and Behavior
• Working knowledge of AI tools, models, and platforms (e.g., generative AI, ML systems), including associated risks, controls, and governance consideration
• Strong analytical and problem-solving skills
• Typically, requires advanced knowledge of auditing typically obtained through advanced education combined with experience. May have practical knowledge of project management
• Familiarity with frameworks such as COBIT, NIST, ISO, or HIPAA
• Certified Information Systems Auditor (CISA), Advanced in AI Audit (AAIA), Certified Information Systems Security Professional (CISSP), Certified Internal Auditor (CIA) and/or Certified Secure Software Lifecycle Professional (CSSLP) desired
• Experience in software development, including SDLC methodologies (Agile, DevOps, CI/CD) and modern engineering practices
• Familiarity with secure coding practices, code management tools (e.g., Git-based repositories), and application security controls
• Understanding of data governance and data protection principles, including privacy, confidentiality, regulatory compliance, and intellectual property management
• Experience auditing or implementing AI governance frameworks (e.g., NIST AI RMF, internal AI governance programs)
• Experience with AI/ML model risk management, including validation, bias detection, explainability, and monitoring
• Familiarity with secure AI development practices and emerging AI risk domains (prompt injection, data poisoning, model leakage, etc.)
• Experience in the management, governance, and control of Artificial Intelligence (AI) use
• Experience in regulated environments (e.g., healthcare)

Hybrid

This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week. Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.