GenAI Digital Senior Lead Product Leader - Observe to Agent Capability jobs in United States
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Wells Fargo · 12 hours ago

GenAI Digital Senior Lead Product Leader - Observe to Agent Capability

Wells Fargo is a global financial services leader committed to innovation and community empowerment. They are seeking a Senior Lead Digital Product Manager to drive the enterprise-wide AI strategy and delivery for the Observe to Agent capability, focusing on building scalable systems that enhance user experience and operational efficiency.

BankingFinancial ServicesFinTechInsurancePayments
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Responsibilities

Define and scale the enterprise Observe capability and its operating model, ensuring O2A is deployed consistently, securely, and with measurable business value across the company
Build and scale the enterprise Agentic capability that transforms video captures into executable Agentic workflows/code, enabling automation acceleration across the COO and enterprise
Own the enterprise strategy for Observe, covering video capture, telemetry ingestion, persona configuration, clickstream processing, and data gathering across multiple business areas
Own the product vision, roadmap, and multi‑release plan for the Video‑to‑Code and broader agent creation pipeline, leveraging multimodal ingestion, semantic understanding, and deterministic + LLM hybrid approaches shown across the O2A roadmap
Establish enterprise patterns for video-to‑API code generation, enabling accelerated velocity (e.g., 30+ control reviews automated per quarter)
Partner with COO Tech & SkanAI to define how “Observe” seamlessly transitions into “Agent,” including the end-to-end value stream (Observe → Analyze → Optimize → Run)
Define control and compliance requirements, including PII redaction, safe-use patterns, and model assurance workflows
Develop enterprise guidelines for process mapping, process mining, behavioral clustering, and insight generation used to drive automation opportunities
Shape and run O2A experimentation frameworks, collaborating with Tech CIO and COO Tech for infrastructure (Cloud PC, Digital Identity, containerized deployments)
Own the strategy to integrate open‑source multimodal models (e.g., Gamma‑3, large action models) into the agentic pipeline
Establish enterprise release & change‑management routines for O2A, ensuring LOB alignment, training, onboarding, and operational readiness
Partner with domain SMEs across operations, fraud, complaints, IT Ops, and contact centers to codify manual processes into reusable agentic workflows
Define requirements for core platform services: structured insights extraction, ontology generation, clickstream mapping, knowledge graph development, context engineering, and automated agent workflow generation
Lead cross‑functional delivery teams (Data Science, AI Engineering, Skan Configurators, Platform Engineering) to deliver capabilities such as multi‑modal ingestion, SOP generation, semantic graph construction, workflow translation, agent execution validation, and multi‑agent orchestration
Define quality, governance, and model assurance requirements — including hallucination controls, SLA breach alerts, execution rollback, analyst‑in‑the‑loop gates, and observability (ARIZE, Phoenix, Splunk)
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

Digital Product ManagementGenerative AI WorkflowsMultimodal MLAutomation DesignAI StrategyStakeholder ManagementSystems ThinkingExecutive InfluenceExecution Excellence

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

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Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services.

Funding

Current Stage
Public Company
Total Funding
unknown
1978-10-06IPO

Leadership Team

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Charlie Scharf
CEO
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Fernando Rivas
CEO of Corporate & Investment Banking
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Company data provided by crunchbase