COO AI COE Senior Lead Digital Product Manager - Strategy and Planning Lead

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About this role:

Wells Fargo is seeking a COO AI COE Senior Lead Digital Product Manager – Strategy and Planning Lead to join the Chief Operating Office (COO) Artificial Intelligence Center of Excellence (AI COE). This Senior Lead role is a highly visible, enterprise-impact position accountable for defining and driving the strategic planning, governance, and execution oversight of Generative AI and Agentic AI initiatives across the firm.

As a senior individual contributor with broad organizational influence, this role will operate with a high degree of autonomy and decision-making authority. The Strategy and Planning Lead will partner closely with executive stakeholders, technology leaders, risk and control partners, and lines of business to shape AI product strategy, lead large-scale planning and design engagements, and ensure disciplined, compliant delivery aligned to Wells Fargo’s Responsible AI framework and risk management standards. This role plays a critical part in enabling scalable, secure, and ethical AI adoption by establishing strong execution models—including Big Room Planning, Joint Application Design (JAD) sessions, end-to-end testing strategies, and release trains—while ensuring alignment with enterprise governance, regulatory expectations, and control requirements.

In this role, you will:

• Act as a Senior Lead product strategist and trusted advisor to executive leadership, influencing AI product direction, investment prioritization, and long-term roadmap decisions across the enterprise.

• Own and drive enterprise-level strategy and planning for GenAI and Agentic AI initiatives, including Big Room Planning and Joint Application Design (JAD) sessions that align business, technology, data, and control stakeholders.

• Establish and oversee end-to-end execution governance, ensuring AI initiatives are delivered through disciplined planning, testing, release, and lifecycle management processes.

• Design and execute robust AI testing strategies, addressing functional, non-functional, model, integration, security, and risk-based testing requirements.

• Build and manage release trains and delivery cadences that enable coordinated execution across multiple teams, platforms, and lines of business.

• Embed Responsible AI principles into product design and delivery, ensuring transparency, fairness, explainability, data integrity, and appropriate human oversight.

• Partner closely with Risk, Compliance, Legal, and Control Management to ensure AI solutions adhere to enterprise AI governance frameworks, regulatory standards, and internal policies.

• Identify, analyze, and resolve highly complex, ambiguous challenges that span products, technologies, and organizational boundaries.

• Translate complex business and regulatory requirements into clear product strategies, operating models, and execution plans.

• Provide expert guidance and thought leadership on AI product management, delivery best practices, and emerging AI execution models.

• Influence, coach, and mentor peers and product teams, setting standards for excellence, accountability, and continuous improvement consistent with Senior Lead expectations.

Required Qualifications:

• 7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Extensive experience leading enterprise-scale digital product initiatives, with demonstrated accountability for strategy, planning, and execution.

• Strong experience delivering Generative AI and/or Agentic AI solutions, preferably within large, highl