GenAI Product Leader - Agentic AI

About This Role

Wells Fargo is seeking a GenAI Product Leader with expertise in Agentic AI to drive the strategy, development, and deployment of enterprise-grade AI capabilities.

In This Role, You Will

Agentic AI Product Strategy & Platform Leadership

• Define and scale enterprise Agentic AI capabilities and their operating model, ensuring consistent, secure deployment with measurable business value.
• Own the product vision, roadmap, and multi-release delivery plan for agent creation, execution, and orchestration platforms, leveraging multimodal inputs, semantic understanding, and deterministic + LLM hybrid approaches.
• Define the end-to-end value stream from observation and insight generation through optimization and autonomous execution.
• Establish enterprise patterns for signal-to-workflow and signal-to-API code generation, enabling reuse and accelerated automation velocity at scale.

Customer-Centric Deployment & Value Realization

• Work directly with internal customers and stakeholders to rapidly design, build, and deploy production-grade AI systems that solve real business problems.
• Work closely with engineering teams and customers to turn emerging AI tools into practical, usable solutions that align with how teams actually work.
• Ensure deployed solutions operate safely within enterprise environments, scale reliably, and demonstrate clear, quantifiable outcomes.
• Translate deployment learnings into reusable patterns, standards, and platform enhancements that strengthen the broader product ecosystem.

Insight Generation, Process Intelligence & Automation Enablement

• Own enterprise strategy for multimodal signal capture and insight generation, including telemetry ingestion, interaction analysis, persona configuration, clickstream processing, and structured data generation.
• Develop enterprise guidelines for process mapping, process mining, behavioral clustering, and insight generation to drive systematic identification of automation opportunities.
• Define requirements for core platform services such as structured insight extraction, ontology generation, clickstream mapping, knowledge graph development, context engineering, and automated agent workflow generation.

Engineering Delivery & Cross-Functional Leadership

• Lead cross-functional product delivery teams (AI Engineering, Data Science, Platform Engineering, Process Intelligence) to deliver capabilities such as:
  • Multimodal ingestion and interpretation
  • SOP and workflow generation
  • Semantic graph construction
  • Workflow translation and validation
  • Multi-agent orchestration and execution monitoring
• Shape and run agentic experimentation and incubation frameworks, partnering with technology organizations on infrastructure needs (e.g., Cloud PC, digital identity, containerized deployments).

Risk, Governance & Enterprise Readiness

• Define control, compliance, and governance requirements, including PII redaction, safe-use patterns, auditability, and model assurance workflows.
• Establish quality and reliability standards, including hallucination controls, analyst-in-the-loop gates, execution rollback, SLA breach alerts, and enterprise observability.
• Establish enterprise release, change-management, onboarding, and adoption routines, ensuring organizational readiness and sustained value realization.

Executive Influence & Strategic Leadership

• Act as a trusted advisor to senior leadership to develop or influence digital products, initiatives, plans, specifications, resources, and long-term objectives.
• Lead the strategy and resolution of highly complex, enterprise-wide challenges requiring deep evaluation across business and technology domains.
• Provide vision, direction, and expertise to leadership on significant digital and AI-driven transformation initiatives.
• Coordinate highly complex activities and provide guidance to leaders and teams across the enterprise.
• Serve as an expert advisor to leadership on Agentic AI, automation strategy, and platform-led transformation.

Required Qualifications:

• Overall 17+ years of industry experience including 7+ 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:

• Technical Mastery: Agent architectures, generative and multimodal AI workflows, automation design, platform services.
• Product Leadership: Proven ability to define, deliver, and scale enterprise-grade digital and AI platforms.
• Systems Thinking: Designs secure, governed, and operationally scalable AI systems.
• Influence: Shapes executive and technical decision-making across complex organizations.
• Execution Excellence: Delivers large-scale, high-impact capabilities across multiple engineering teams.