Supports the assessment of the effectiveness of the frameworks in alignment with industry standards, such as NIST, and broader AI governance principles, including ethical, legal, and operational aspects.
Identifies gaps, risks, and areas for improvement in AI governance, risk management, and compliance.
Provides actionable best practices for strengthening the AI governance framework and ensuring alignment with emerging standards, regulatory requirements, and best practices.

Bachelor's degree, or equivalent work experience
Typically more than 10 years of applicable experience
Expertise in AI governance frameworks such as NIST AI Risk Management Framework, ISO/IEC 42001, EU AI Act, and OCC guidelines preferred but not required
Ability to audit AI lifecycle controls including development, validation, and monitoring aligned with SR 11-7 and internal model governance standards
Strong understanding of ethical AI principles including fairness, transparency, accountability, and explainability
Knowledge of regulatory and compliance requirements including GDPR, CCPA, and AI-specific mandates
Skilled in risk assessment for AI use cases, including bias detection, interpretability, and performance metrics
Experience in evaluating third-party AI vendor compliance and contractual obligations
Proficiency in preparing clear, actionable audit reports for senior leadership and regulators
Collaborative approach to work with data, compliance, and technology teams

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Senior Audit Project Manager – Digital, Data & AI

Key skills