Wells Fargo is seeking a Lead Digital Product Manager.
This role sits at the core of CIBs AI transformation agenda, shaping the roadmap, governance, implementation, and scaling of nextgeneration AI/GenAI capabilities across business lines. You will drive strategic assessments, integrate AI solutions into key workflows, ensure riskaligned delivery, and partner closely with senior leadership to execute highimpact innovation initiatives.
5+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Ability to manage multiple highcomplexity initiatives with significant crossfunctional impact. Strong analytical, communication, and documentation skills (JIRA, Confluence).Comfortable driving change and influencing senior stakeholders in a dynamic, evolving transformation environment.
Lead and execute AI/GenAI initiatives aligned with CIB strategic priorities, from idea validation to deployment. Integrate AI solutions across key CIB journeysClient, Vendor, Market, Lendingto improve efficiency, decisioning, and servicing experiences.
Conduct strategic reviews, evaluate performance, and solve complex business challenges with structured frameworks and creative problemsolving. 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.
Lead endtoend program management for highvisibility innovation initiatives, including scope definition, execution planning, resource management, and stakeholder alignment. Collaborate with crossfunctional 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.
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.
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