COO AI COE Senior Lead Digital Product Manager - Testing Strategy & Release Management Lead

About the role

Wells Fargo is seeking a Senior Lead Digital Product Manager - GenAI Testing Strategy & Release Management Lead to join the Chief Operating Office (COO) Artificial Intelligence Center of Excellence (AI COE).

Responsibilities

• Define and own end-to-end testing strategy for GenAI and Agentic AI solutions, including functional, non-functional, integration, model, security, resilience, and risk-based testing.
• Establish and oversee AI test governance, ensuring testing approaches align to enterprise risk standards, Responsible AI principles, and regulatory expectations.
• Design and manage release management frameworks and release trains to enable coordinated, predictable deployment across multiple teams, platforms, and lines of business.
• Partner closely with Risk, Compliance, Legal, Control Management, and Model Risk teams to ensure solutions meet governance and control requirements prior to production.
• Identify, assess, and mitigate testing and release risks for highly complex and ambiguous AI initiatives.
• Develop and socialize release readiness criteria, go/no-go decision frameworks, and post-release validation processes.
• Ensure continuous improvement of testing practices through metrics, defect analysis, post-incident reviews, and lessons learned.
• Translate complex technical, operational, and regulatory requirements into clear testing plans and release execution strategies.
• Provide thought leadership and guidance on emerging best practices for AI testing, deployment controls, and lifecycle management.
• Influence, coach, and mentor delivery teams and peers, setting standards for quality, accountability, and execution excellence consistent with Senior Lead expectations.

Requirements

• 7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Extensive experience leading enterprise-scale testing and release management for complex digital or AI capabilities.
• Strong experience delivering Generative AI and/or Agentic AI solutions, preferably within highly regulated environments.
• Deep expertise in AI lifecycle management, including testing strategies, deployment controls, monitoring, and post-release optimization.
• Proven experience establishing and managing release trains across multiple teams and platforms.
• Strong understanding of risk-based testing, model validation considerations, data controls, and non-functional testing requirements.
• Demonstrated knowledge of Responsible AI principles, AI governance, and model risk management practices.
• Experience partnering with Risk, Compliance, Legal, Control, and Technology teams to deliver compliant, production-ready solutions.
• Strong executive communication and influencing skills, with the ability to drive alignment across matrixed organizations.
• Able to operate independently and make sound judgments consistent with Senior Lead individual contributor accountability.
• Familiarity with Agile, SAFe, or other scaled delivery methodologies in large enterprise environments.