AI Governance Lead

🕒 Junho 29

⛷️ Utah – Remoto

⛷️ Utah – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Progressive Leasing

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1999

💼 Consultoria

📦 Logística

🛒 Varejo

Consulting • Logistics • Retail

A Progressive Leasing é uma empresa que oferece opções de compra com leasing para consumidores que podem ter crédito abaixo do ideal. Eles fornecem uma maneira conveniente e flexível para os clientes adquirirem itens como móveis, eletrônicos, joias, pneus e rodas, dispositivos móveis, eletrodomésticos e colchões em milhares de lojas em todo o país. Seu processo de subscrição considera vários pontos de dados, como renda e histórico bancário, ao invés de depender exclusivamente de pontuações de crédito, permitindo que mais pessoas sejam aprovadas. Com opções de agendamento de pagamentos automáticos, os clientes podem alinhar os pagamentos aos seus dias de pagamento, aumentando a facilidade e a acessibilidade.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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