Lead Digital Product Manager

About this role:

Wells Fargo is seeking a Lead Digital Product Manager.

This role sits at the core of CIB's AI transformation agenda, shaping the roadmap, governance, implementation, and scaling of next‑generation AI/GenAI capabilities across business lines. You will drive strategic assessments, integrate AI solutions into key workflows, ensure risk‑aligned delivery, and partner closely with senior leadership to execute high‑impact innovation initiatives.

In this role, you will:

• Lead the development and execution of complex digital business plans, programs and initiatives which have impact across the enterprise with broad impact
• Act as key participant in large-scale planning
• Review and analyze complex digital strategy for product/functionality/experience area
• Influence digital strategy for the business line requiring in-depth evaluation of multiple factors including intangibles or unprecedented factors
• Make decisions in digital strategy for product/functionality/experience area requiring strong understanding of the business, policies, procedures and/or compliance requirements
• Lead a broad team of digital professionals to meet deliverables and drive new initiatives
• Strategically collaborate and consult with peers, colleagues and mid-level to senior managers to resolve issues and achieve goals
• Potentially lead projects, teams or serve as a peer mentor

Required Qualifications:

• 5+ 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:

• 5+ years of experience in transformation, product management, business analysis, business execution, and AI solution delivery
• Deep knowledge of Corporate & Investment Banking products, workflows, and asset classes.
• Hands-on experience in AI/GenAI solution development and enterprise implementation.
• Strong proficiency with modern AI stacks (Lang Chain, Lang Graph, MCP), GenAI lifecycle processes, and model optimization techniques.
• Experience with agentic AI, workflow automation, document intelligence, and intelligent routing.
• Ability to operate across complex organizational structures with excellent communication and stakeholder‑management skills.
• Proven leadership experience, including team guidance, decision‑making, and strategic problem‑solving. Skilled in defining target‑state blueprints and actionable roadmaps.

Job Expectations

Ability to manage multiple high‑complexity initiatives with significant cross‑functional impact. Strong analytical, communication, and documentation skills (JIRA, Confluence).Comfortable driving change and influencing senior stakeholders in a dynamic, evolving transformation environment.

AI & Innovation Delivery

Lead and execute AI/GenAI initiatives aligned with CIB strategic priorities, from idea validation to deployment. Integrate AI solutions across key CIB journeys-Client, Vendor, Market, Lending-to improve efficiency, decisioning, and servicing experiences.

Strategy, Governance & Execution

Conduct strategic reviews, evaluate performance, and solve complex business challenges with structured frameworks and creative problem‑solving. Define and implement processes, procedures, success metrics, and lifecycle standards for AI/ML and agentic workflows.Ensure compliance with CIB and enterprise methodologies, AI governance, AIRR controls, and risk frameworks.

Program & Stakeholder Leadership

Lead end‑to‑end program management for high‑visibility innovation initiatives, including scope definition, execution planning, resource management, and stakeholder alignment. Collaborate with cross‑functional leaders across Technology, Product, Business Execution, Risk, and Data to drive delivery and manage dependencies.Mentor and guide junior staff across Strategy & Execution and Innovation teams.

AI Architecture & Technical Understanding

Apply practical understanding of LLM workflows, chunking, RAG, hallucination mitigation, vectorization, and prompt engineering. Utilize modern AI tooling (LangChain, LangGraph, Model Context Protocol) to support scalable, context-aware AI solutions. Partner with technical teams on cloud, data, integration design, document intelligence, and agentic orchestration.

Posting End Date:

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.