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

Wells Fargo & Company•Irving, TX

5d•Hybrid

About The Position

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.

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

Nice To Haves

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, highly regulated environments.
Proven success leading Big Room Planning and Joint Application Design (JAD) sessions involving senior stakeholders and cross-functional teams.
Experience establishing release trains and execution governance models for complex, multi-team digital or AI capabilities.
Deep understanding of AI lifecycle management, including testing strategies, deployment controls, monitoring, and post-release optimization.
Demonstrated knowledge of Responsible AI concepts, AI governance, and risk management practices (e.g., model risk, data controls, fairness, explainability).
Strong executive communication and influencing skills, with the ability to navigate matrixed organizations and drive alignment without direct authority.
Experience partnering with Risk, Compliance, Legal, and Control functions to deliver compliant, well-governed technology solutions.
Ability to operate independently, set direction, and make sound judgments consistent with Senior Lead individual contributor accountability.
Familiarity with Agile, SAFe, or other scaled delivery methodologies in an enterprise environment.

Responsibilities

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.