Wells Fargo · 21 hours ago
GenAI Digital Senior Lead Product Leader – Agentic Delivery Execution
Wells Fargo is a global financial services leader committed to driving innovation and empowering communities. They are seeking a Senior Lead Digital Product Manager to define product vision and drive enterprise-wide AI strategy and delivery for Generative and Agentic AI solutions.
BankingFinancial ServicesFinTechInsurancePayments
Responsibilities
Execute O2A lifecycle activities (Observe → Optimize → Analyze → Run)
Support configuration of Observe Assistant, activity tagging, persona behavior modeling
Work with engineering to translate observed behavior into actionable agentic features
Define enterprise strategy for O2A observation, optimization, and agent generation
Build O2A operating model including governance, lifecycle stages, roles/responsibilities, and prioritization framework
Determine scalable implementation pathways for persona coverage, behavioral insights, and continuous optimization loops
Define strategic roadmap for enterprise Agentic AI adoption (autonomous workflows, memory, planning, tool‑use architectures)
Partner with AI, IA, Data, Operations and Technology leaders to align multi‑year roadmap
Develop business cases for large‑scale agent deployment derived from observed tasks
Govern intake, prioritization, and sequencing across businesses and functions
Represent O2A/Agentic Strategy in senior forums (COO, AI, Ops leadership)
Build a repeatable business case framework quantifying efficiency improvements, SLA impact, and accuracy gains derived from O2A deployments, using examples from CTO Ops, Fraud, Claims, and Complaints
Conduct observation deployments across selected personas and applications
Build behavioral and task‑level insights to support productivity improvement
Run end‑to‑end analysis of task‑level behavior, cognitive load indicators, and exception patterns
Deploy SKAN.ai agents, configure masking, validate data capture, ensure compliance with governance and privacy requirements
Operate and refine the SKAN Digital Twin: observe workflows, identify inefficiencies, and generate insights for optimization
Generate structured process documentation (SOPs) for downstream automation teams
Monitor continuous observation cycles and maintain audit/logging standards
Act as an advisor to senior leadership to develop or influence digital products, initiatives, plans, specifications, resources, and long-term goals for highly complex business and technical needs across a functional area within the Digital environment
Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Coordinate highly complex activities and guidance to others
Provide vision, direction and expertise to senior leadership on implementing innovative and significant digital business plans, programs and initiatives which have significant impact
Strategically engage with all levels of professionals and managers across the enterprise
Serve as an expert advisor to leadership
Qualification
Required
7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Preferred
Technical Mastery: Multimodal ML, Generative AI workflows, Agent architecture, automation design
Product Leadership: Ability to define and scale enterprise-grade AI capabilities
Systems Thinking: Designs operationally scalable, compliant AI systems
Executive Influence: Shapes decision-making with senior leadership and technical domains
Execution Excellence: Delivers complex AI services across multiple engineering teams
Stakeholder Management: Strong communicator with cross-functional alignment experience
Benefits
Robust benefits
Competitive compensation
Programs designed to help you find work-life balance and well-being
Company
Wells Fargo
Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services.
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-10-06IPO
Recent News
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