Senior Digital Product Manager — AI (CIB)

About This Role

Wells Fargo is seeking a Senior 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 or participate in variety of complex functions within the digital environment

Contribute to large-scale planning related to the execution of the digital strategy

Review and analyze complex content strategy/creation, customer experience, analytics/research or product management that require an in-depth evaluation of variable factors

Independently resolve complex issues

Lead team to meet project deliverables while leveraging solid understanding of digital initiatives, policies, procedures and/or compliance requirements

Collaborate and consult with peers, colleagues and mid-level managers to resolve issues and achieve goals

Potentially lead projects, teams or provide direction to junior staff on less complex digital initiatives

Required Qualifications

4+ years of experience in transformation, product management, business analysis, business execution, and AI solution delivery, demonstrated through work experience, training, military service, or education.Demonstrated experience leading complex, cross-functional programs with measurable business outcomes.

Desired Qualifications

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 (LangChain, LangGraph, 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.

Reference Number

R-521237