Senior Lead Enterprise Risk & AI Governance Officer -- Executive Director

About this role:

Wells Fargo is seeking a Senior Lead Enterprise Risk & AI Governance Officer - Executive Director within the Model Risk Management (MRM) Governance organization to serve as the enterprise owner of the Artificial Intelligence Risk Management Policy and Program.

This role is designed for a senior thought leader and a trusted advisor in AI governance who operates at a strategic, enterprise level, providing vision, structure, and oversight for how artificial intelligence is governed across the firm. The Senior Lead Enterprise Risk & AI Governance Officer will own the design, integrity, and evolution of this companywide framework, ensuring Wells Fargo maintains a clear, scalable, compliant, and future ready foundation for AI usage.

In this role, you will:
Enterprise AI Governance Vision & Program Architecture

• Architect and shape the AI Risk Management Program from a strategic perspective, defining the overarching framework, standards, controls, and oversight mechanisms that govern AI usage across the enterprise.

• Establish a clear operating model that defines how AI services and models are identified, assessed, governed, monitored, changed, and retired across their lifecycle.

• Ensure the governance program is scalable, sustainable, and adaptable to evolving technologies, regulatory expectations, and business strategies.

Policy Ownership and Governance Accountability

• Serve as the enterprise owner of the Artificial Intelligence Risk Management Policy and supporting procedures and guidance, maintaining accountability for clarity, consistency, and compliance.

• Translate regulatory expectations and enterprise risk principles into policy guardrails and governance standards.

• Ensure policy intent is clearly understood and consistently applied across lines of business, while allowing flexibility for risk-based implementation.

Governance Controls, Standards, and Best Practices

• Define AI governance controls and best practices, including expectations for identification, development, validation, monitoring, change management, and decommissioning.

• Ensure leadership receives clear, executive ready insights into AI risk exposure, governance effectiveness, emerging risks, and systemic issues.

• Establish decision frameworks and escalation paths that guide how AI risks are evaluated, challenged, accepted, or remediated at the enterprise level.

• Oversee the effectiveness of governance controls through structured oversight, reporting, and review mechanisms.

Strategic Leadership, Alignment, and Advisory

• Assemble, engage, and align the appropriate execution teams and stakeholders, ensuring clarity of roles, responsibilities, and accountability across the AI governance ecosystem.

• Provide strategic guidance and planning support to help the organization navigate AI risk, compliance obligations, and responsible AI practices.

• Serve as a trusted advisor to senior leaders, offering informed perspectives on industry trends and peer practices, regulatory developments related to AI and model risk, and enterprise level AI guardrails and risk tolerance

• Represent the AI Risk Management and AIRR Program in enterprise governance forums, audits, and regulatory readiness activities.

• Influence alignment between AI governance, Model Risk Management, and Operational Risk programs across the firm.

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:

• Recognized expertise in AI governance, Model Risk Management, or enterprise level technology risk frameworks.

• Demonstrated experience designing and owning enterprise governance programs or policies.

• Deep understanding of regulatory expectations, industry standards, and emerging practices related to AI and model risk.

• Strong ability to operate as a strategic advisor and thought leader with senior executives and cross enterprise stakeholders.

• Ability to synthesize complex information into clear, actionable leadership reporting, including risks of non‑compliance.

• Exceptional communication skills with the ability to influence, align, and drive decisions at the executive level.

• Bachelor’s degree (BS/