Senior Lead AI Risk Governance Officer

Wells Fargo•Minneapolis, MN

2d•$159,000 - $305,000•Hybrid

About The Position

Wells Fargo Model Risk Management is seeking a Senior Lead Enterprise Risk Officer to join the Policy and Program Governance team and advance the firm’s AI Risk Management Policy and governance framework. The role drives implementation of AI risk requirements through cross-functional engagement, connecting enterprise AI governance, model risk governance, and front-line execution to strengthen oversight and controls for AI-enabled use cases and services. The position serves as a technical and policy advisor, translating AI Risk Management and Model Risk Management requirements into practical implementation strategies. It partners with front-line stakeholders, connects priorities across AI and model risk programs, and drives alignment from policy through execution. The role requires expertise in AI governance and policy, technology and cybersecurity risk, model risk management, program execution, and regulatory compliance. Success involves accountability for outcomes, measuring effectiveness with data, demonstrating continuous improvement, and engaging stakeholders proactively before work products are implemented or published. This position currently offers a hybrid work schedule and requires willingness to work on-site at the stated location. The listed base pay range is $159,000 to $305,000; employees may also be eligible for incentive opportunities. Wells Fargo lists benefits including health benefits, a 401(k) plan, paid time off, disability benefits, life, critical illness and accident insurance, parental leave, critical caregiving leave, discounts and savings, commuter benefits, tuition reimbursement, scholarships for dependent children, and adoption reimbursement.

Requirements

At least 7 years of Risk Management experience in areas such as Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, or Business Process Management, or equivalent demonstrated through work experience, training, military experience, or education.
Bachelor’s degree (BS/BA) or higher.
Willingness to work on-site at the stated location.

Nice To Haves

Deep expertise in AI governance and AI risk, including knowledge of technology and cybersecurity risk and experience establishing or implementing enterprise AI governance frameworks, policies, standards, and controls.
Knowledge of AI regulatory requirements, supervisory expectations, and industry frameworks, with experience interpreting emerging AI regulation and translating requirements into enterprise policies, governance standards, controls, and implementation guidance.
Experience with NIST AI RMF, ISO/IEC 42001, the EU AI Act, and applicable model risk management requirements.
Knowledge of technology risk frameworks, SDLC governance, production readiness, and third-party risk management, including governance of externally developed or vendor-provided AI solutions.
Ability to identify emerging risks, governance gaps, and implementation challenges, escalate issues appropriately, and drive practical solutions.
Strong executive communication and presentation skills, including the ability to make complex AI, technology, regulatory, and risk topics clear and actionable for senior leaders and business stakeholders.
Ability to influence and collaborate across AI, technology, cybersecurity, risk, legal, compliance, and business stakeholders in a complex enterprise environment.
Self-starter with agility, sound judgment, and ability to navigate ambiguity, changing regulatory expectations, and evolving AI technologies.
Experience supporting organizational or governance change, including implementation of policies, standards, controls, or risk-management processes across multiple stakeholder groups.
Strong analytical skills, attention to detail, and accuracy.

Responsibilities

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 and promote 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 metrics and reporting to measure AI governance and policy implementation effectiveness, identify trends and gaps, and demonstrate 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 partnerships across Model Risk Officers, Group Model Risk Officers, front-line AI model owners, developers, and governance teams.
Deliver executive reporting and communications on AI model risk exposure, policy compliance, governance priorities, and data integrity issues.
Support proactive monitoring, risk identification and escalation, issue remediation, and sound risk decisions consistent with applicable risk and compliance requirements.