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Wells Fargo

Senior Lead Artificial Intelligence Solutions Consultant – COO AI COE GenAI, Agentic Delivery Leader

Wells Fargo

Senior Lead Digital Product Manager developing scalable AI solutions for Wells Fargo. Driving enterprise-wide AI strategy and collaborating across multiple teams to enhance innovation.

Posted 6/17/2026full-timeCharlotte • North Carolina, Texas • 🇺🇸 United StatesSeniorWebsite

About the role

Key responsibilities & impact
  • 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
  • Determine scalable implementation pathways for persona coverage, behavioral insights
  • Define strategic roadmap for enterprise Agentic AI adoption (autonomous workflows, memory, planning)
  • 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
  • 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
  • Operate and refine the SKAN Digital Twin: observe workflows, identify inefficiencies
  • 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

Requirements

What you’ll need
  • 7+ years of digital product management experience
  • Executive Leadership in GenAI & Agentic AI: Proven experience leading enterprise-scale Generative AI and Agentic AI products
  • Enterprise AI Strategy, Operating Model & Governance: Demonstrated ability to design and implement AI operating models
  • Process Intelligence & Digital Twin Expertise: Experience leveraging task mining, behavioral analytics
  • Multi-Year Roadmap & Transformation Delivery: Track record of defining and executing enterprise AI product roadmaps
  • Delivery Leadership & Executive Liaison: Proven ability to drive end-to-end product delivery
  • Business Case Development & Value Realization: Strong ability to quantify and communicate ROI for AI investments
  • Technical Fluency & Executive Influence: Deep understanding of modern AI/ML architectures

Benefits

Comp & perks
  • robust benefits
  • competitive compensation
  • programs designed to help you find work-life balance and well-being

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Generative AIAgentic AIAI operating modelstask miningbehavioral analyticsproduct roadmapsend-to-end product deliveryROI quantificationAI/ML architecturesprocess documentation
Soft Skills
executive leadershipstrategic roadmap developmentcross-functional collaborationcommunicationadvisory skillsgovernanceprioritizationsequencingproductivity improvementstakeholder engagement