# Senior Lead AI Risk Governance Officer at Wells Fargo

Wells Fargo is hiring a Senior Lead AI Risk Governance Officer. Level rates it Little AI ●○○○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/d1b8a297-bb08-41db-8dae-78c07a9ef416?utm_medium=ai-agent).

AI Level 1, AI centrality 31 out of 100. CHARLOTTE, NC.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 1 (score 31 out of 100)
- Location: CHARLOTTE, NC
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/d1b8a297-bb08-41db-8dae-78c07a9ef416?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-lead-ai-risk-governance-officer-at-wells-fargo-c2a554

## Description

About this role: Model Risk Management (MRM) at Wells Fargo is seeking a Senior Lead Enterprise Risk Officer - Executive Director (Senior Lead AI Risk Governance) to join the Policy and Program Governance team and play a critical role in advancing the firm’s AI Risk Management Policy and governance framework. This role will drive effective implementation of AI risk requirements through strong cross-functional engagement, connecting enterprise AI governance, model risk governance, and front-line execution to strengthen governance, controls, and oversight of AI-enabled use cases and services. The Senior Lead Enterprise Risk Officer will serve as a technical and policy advisor, translating the intent and objectives of AI Risk Management and Model Risk Management requirements into practical implementation strategies. The role will partner closely with front-line stakeholders, connect priorities across AI and model risk programs, and drive alignment from policy through execution. The ideal candidate will bring deep expertise in AI governance and AI policy, with strong knowledge of technology and cybersecurity risk, model risk management, program execution, and regulatory compliance. Success requires a customer-focused mindset, accountability for outcomes, a data-driven approach to measuring effectiveness and demonstrating continuous improvement, and proactive stakeholder engagement to ensure solutions and work products are effectively socialized before implementation or publication. In this role, you will: Policy and Program Governance Lead implementation of enterprise AI and Model Risk Management policies, procedures, and governance, translating requirements into practical procedures, training, guidance, and tools. Serve as an AI and model risk policy subject matter expert, driving consistent front-line understanding and execution of governance requirements. Provide oversight, credible challenge, and monitoring of front-line processes, policy adherence, and execution quality. Develop and monitor key metrics and reporting to measure the effectiveness of AI governance and policy implementation, identify trends and gaps, and demonstrate measurable improvements in risk management and control effectiveness. Advise businesses on risk issues, corrective actions, policy violations, exceptions, and governance priorities. Drive alignment and integration of AI risk governance across model risk, technology risk, and other enterprise risk programs. Build and coordinate strong partnerships across Model Risk Officers, Group Model Risk Officers, front-line AI model owners, developers, and governance teams. Deliver clear, actionable executive reporting and communications related to AI model risk exposure, policy compliance, governance priorities, and data integrity issues Required Qualifications: 7+ years of Risk Management experience (Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, Business Process Management) or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Deep expertise in AI governance and AI risk, with strong knowledge of technology and cybersecurity risk, and experience establishing or implementing enterprise AI governance frameworks, policies, standards, and controls. Deep knowledge of AI regulatory requirements, supervisory expectations, and industry frameworks, with demonstrated experience interpreting emerging AI regulation and translating requirements into enterprise policies, governance standards, controls, and implementation guidance. Experience with frameworks such as NIST AI RMF, ISO/IEC 42001, EU AI Act, and applicable model risk management requirements preferred. Strong knowledge of technology risk frameworks, SDLCgovernance, production readiness, and third-party risk management, including governance of externally developed or vendor-provided AI solutions. Proven

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Source: https://jobsbylevel.com/jobs/senior-lead-ai-risk-governance-officer-at-wells-fargo-c2a554

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-lead-ai-risk-governance-officer-at-wells-fargo-c2a554.

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