GenAI Digital Senior Lead Product Leader - Observe to Agent Capability

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About this role:
Wells Fargo is seeking a visionary and execution-focused Senior Lead Digital Product Manager to help stand up Observe to Agent, (O2A) capability for Wells Fargo. As part of the Chief Operating Office AI Center of Excellence (COE) organization, this role will drive enterprise-wide AI strategy and delivery by defining product vision, roadmap, and success metrics for Generative and Agentic AI solutions.
Leading cross-functional teams through the full product lifecycle to build scalable, intelligent systems that enhance user experience, operational efficiency, and innovation while ensuring responsible AI practices.
In this role, you will:

• 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.

Required Qualifications:

• 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: 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.

Job Expectations:

• This position is NOT eligible for Visa sponsorship.
• Ability to work on site per Wells Fargo's standard operating model in the listed location (hybrid schedule - 3 days on-site & 2 remote)
• The ability to travel up to 10% of the time.

Posting Location:

• Charlotte, NC
• Dallas/Irving, TX

The Global Operations functions adhere to a location strategy; therefore, your candidacy may be determined based on your current location. Remote work locations are not available for these roles, so if you are not in a location listed on the posting, you must commit to self-relocation within an agreed upon timeframe.
Posting End Date:
15 Mar 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.