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

Wells Fargo•Irving, TX

1d•Hybrid

About The Position

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). This Senior Lead role is accountable for defining, governing, and executing enterprise-wide testing strategy and release management for Generative AI and Agentic AI solutions across the firm. The role focuses on ensuring disciplined, compliant, and scalable delivery through robust testing frameworks, coordinated release trains, and strong lifecycle governance aligned to Wells Fargo’s Responsible AI standards. As a senior individual contributor with broad organizational influence, this role operates with significant autonomy and decision-making authority and partners closely with technology teams, product leaders, risk and control partners, and lines of business to ensure AI capabilities are production-ready, resilient, and compliant before release.

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
This position is NOT eligible for Visa sponsorship.
Ability to work on site per Wells Fargo's standard operating model in the listed location (hybrid schedule – 3 days on-site & 2 remote)
The ability to travel up to 10% of the time.

Nice To Haves

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.
Ability 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.

Responsibilities

Act as a senior advisor to leadership on AI testing strategy, release readiness, and execution risk across complex, enterprise-wide initiatives.
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.
Lead execution planning for testing and release activities across scaled delivery models, including Agile and SAFe environments.
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.