Wells Fargo

Senior Lead Product Leader – Agentic Delivery Execution

Wells Fargo

full-time

Posted on:

Location Type: Hybrid

Location: Charlotte • North Carolina • Texas • United States

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Job Level

Senior

About the role

  • 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.
  • Build a repeatable business case framework quantifying efficiency improvements, SLA impact, and accuracy gains derived from O2A deployments.
  • 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.

Requirements

  • 7+ years of digital product management experience
  • Technical Mastery: Multimodal ML, Generative AI workflows, Agent architecture, automation design.
  • Ability to define and scale enterprise-grade AI capabilities.
  • Designs operationally scalable, compliant AI systems.
  • Shapes decision-making with senior leadership and technical domains.
  • Delivers complex AI services across multiple engineering teams.
  • Strong communicator with cross-functional alignment experience.
Benefits
  • robust benefits
  • competitive compensation
  • programs designed to help you find work-life balance and well-being
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
O2A lifecycle activitiesObserve Assistant configurationpersona behavior modelingAgentic AI adoptionmultimodal MLGenerative AI workflowsautomation designtask-level analysisdata capture validationcompliance with governance
Soft Skills
strong communicatorcross-functional alignmentstrategic roadmap developmentinfluencing senior leadershipdecision-making shaping