AI Governance Lead

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in Fin Tech, we’ve grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a Fin Tech holding company with three business segments:
Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL) platform.

We are currently hiring an AI Governance Lead to help grow our company and ensure our mission is achieved!

Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity; opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.

A Fin Tech organization committed to delivering responsible innovation while protecting our customers, employees, partners, and business. We empower teams to leverage emerging technologies, including Artificial Intelligence, in ways that drive business value while maintaining strong governance, accountability, and trust. We provide our employees with challenging opportunities where curiosity, collaboration, innovation, and continuous learning are rewarded.

An AI Governance Lead who will own the day-to-day operation of Progressive Leasing's AI governance program. In this position, you will be responsible for establishing, operationalizing, and continuously improving the processes, controls, policies, and reporting that enable responsible AI adoption across the organization. You will partner closely with Legal, Compliance, Information Security, Technology, Data Governance, People, and business stakeholders to ensure AI solutions are deployed in a safe, compliant, and well-governed manner.

• 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.

• 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…