Senior Lead AI Risk Governance Officer

Wells Fargo Bank•Charlotte, NC

1d•$159,000 - $305,000•Hybrid

About The Position

Wells Fargo’s Model Risk Management Policy and Program Governance team is seeking a Senior Lead Enterprise Risk Officer to advance the firm’s AI Risk Management Policy and governance framework. The role connects enterprise AI governance, model risk governance, and front-line execution to strengthen governance, controls, and oversight of 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 and connects priorities across AI and model risk programs to drive alignment from policy through execution. The role requires expertise in AI governance and policy, along with knowledge of technology and cybersecurity risk, model risk management, program execution, and regulatory compliance. It emphasizes accountability, data-driven measurement of effectiveness, continuous improvement, and proactive stakeholder engagement. The position currently offers a hybrid work schedule and requires willingness to work on-site at the stated location. The base pay range is $159,000 to $305,000; employees may also be eligible for incentive opportunities.

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 experience demonstrated through work, training, military experience, or education.
Bachelor’s degree (BS/BA) or higher.
Strong analytical skills, attention to detail, and accuracy.
Ability to communicate complex AI, technology, regulatory, and risk topics as clear, actionable guidance for senior leaders and business stakeholders.
Ability to influence and collaborate with 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.
Willingness to work on-site at the stated location.

Nice To Haves

Deep expertise in AI governance and AI risk, with strong knowledge of technology and cybersecurity risk.
Experience establishing or implementing enterprise AI governance frameworks, policies, standards, and controls.
Deep knowledge of AI regulatory requirements, supervisory expectations, and industry frameworks; experience interpreting emerging AI regulation and translating it into enterprise policies, governance standards, controls, and implementation guidance.
Experience with frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and applicable model risk management requirements.
Strong knowledge of technology risk frameworks, SDLC governance, production readiness, and third-party risk management, including governance of externally developed or vendor-provided AI solutions.
Strong executive communication and presentation skills.
Demonstrated experience supporting organizational or governance change across multiple stakeholder groups.

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, promoting 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 clear, actionable executive reporting and communications concerning AI model risk exposure, policy compliance, governance priorities, and data integrity issues.
Proactively identify emerging risks, governance gaps, and implementation challenges, escalate issues appropriately, and drive practical solutions.
Support organizational or governance change, including implementation of policies, standards, controls, or risk-management processes across stakeholder groups.