Lead Digital Product Manager
Wells Fargo
- Location
- Bengaluru, India
- Work model
- On-Site
- Level
- Senior
- Posted
- Aug 19, 2026
Skills
About this role
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,