AI Governance Lead
Location
Utah
Posted
10 days ago
Salary
0
Seniority
Senior
Job Description
AI Governance Lead
Progressive Leasing
• Maintain the cadences, workflows, and hand-offs that keep AI governance running as a repeatable process and track in-flight items through to closure. • Draft and maintain the company's AI policies, standards, procedures, and guidelines. • Help implement and operate the platform used as the system of record for AI intake, risk tracking, control documentation, and issue management. • Work with other stakeholders to design and run the AI controls testing and monitoring program to verify controls are operating as intended and to surface gaps before they become issues. • Keep the inventory of AI systems and models in use, along with technical and transparency documentation, assessment records, and retention schedules. • Develop the metrics, dashboards, and reporting cadences that give the broader AI Governance team and leadership a clear view of program health, key risks, and strategic priorities. • Coordinate the company’s responses to AI-related due diligence requests from customers, vendors, and retail partners. • Monitor U.S. legal developments and changes in best practices and standards such as the NIST AI RMF and translate them into operational and governance requirements. • Maintain a current, hands-on understanding of how AI capabilities, tools, deployment patterns, and risks are evolving, and surface gaps or opportunities in the program proactively. • Build out the AI governance program while embedding a culture of practical, efficient, and well-evidenced compliance across the company.
Job Requirements
- 5 + years in governance, risk, and compliance (GRC), information security compliance, legal operations, privacy program management, internal audit, or a closely related operational field, including at least 3 years owning or leading a program, workstream, or function.
- Track record of operationalizing a governance or compliance program end-to-end — translating policy and requirements into repeatable processes covering intake, risk assessment, controls, documentation, and reporting.
- Working knowledge of governance program fundamentals: policy management, risk assessment, controls testing, issue management, recordkeeping, and program reporting.
- Strong written and verbal communication, with the ability to translate regulatory or technical requirements into processes that engineering, product, and business teams will adopt.
- Ability to lead through influence across senior, cross-functional stakeholders without direct authority, and to drive decisions to closure.
- Familiarity with at least one recognized AI governance or risk framework (e.g., NIST AI RMF, ISO/IEC 42001).
- A self-starter who stays current on AI developments and applies that knowledge to the program.
- Background in InfoSec GRC or Legal Operations, with exposure to AI, privacy, or emerging-technology governance.
- Working knowledge of AI/ML concepts and hands-on familiarity with AI tools, including generative AI.
- Knowledge of AI governance frameworks and the regulatory landscape — NIST AI RMF, ISO/IEC 42001, and U.S. state AI laws (e.g., Colorado AI Act).
- Experience in regulated consumer financial services or fintech.
- Experience implementing responsible/ethical AI practices — bias and fairness assessment, model risk review, transparency and disclosure, quality and accuracy review.
- Certifications such as AIGP, CIPP/CIPM/CIPT, CISA, CISM, CRISC, or CGRC.
Benefits
- Competitive Compensation + Bonus Potential
- Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
- Company Matched 401k
- Paid Time Off + Paid Holidays + Paid Volunteer Time
- Diversity Alliance Resource Groups
- Employee Stock Purchase Program
- Tuition Reimbursement
- Charitable Gift Matching
- Job Required Equipment & Services Will Be Provided
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