Senior Lead Product Manager – Artificial Intelligence, Wealth & Investment Management
Wells Fargo
full-time
Posted on:
Location Type: Hybrid
Location: Saint Louis • Minnesota • Montana • United States
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Salary
💰 $139,000 - $239,000 per year
Job Level
About the role
- Define and own the AI product strategy, outcomes, and end‑state vision, aligning WIM AI initiatives to enterprise priorities and measurable business value.
- Lead end‑to‑end product management for complex, enterprise‑grade AI platforms, solutions, and capabilities, ensuring scalability, governance, and operational readiness.
- Partner closely with the WIM Head of AI & Digital Asset Platforms to shape AI roadmaps, investment decisions, prioritization, and product tradeoffs.
- Translate business problems into prioritized AI use cases, value cases, and delivery plans across advisor, client, and operations domains.
- Drive cross‑product AI portfolio management, identifying dependencies, synergies, and risks across platforms, workflows, and distribution channels.
- Guide long‑term AI solution delivery, accounting for regulatory requirements, responsible AI principles, data dependencies, and enterprise technology constraints.
- Articulate AI product vision and roadmap; define scope; prioritize backlogs; and support platform evolution, model deployment, and workflow integration.
- Own key business, adoption, operational, and risk metrics, embedding governance, controls, and compliance requirements throughout the AI product lifecycle.
- Engage and align cross‑functional teams and external partners, including Product Owners, Engineering, Data, Risk, Compliance, Legal, Operations, and vendors.
- Serve as a trusted advisor to senior leadership, translating complex AI, regulatory, and market considerations into clear product direction and execution plans.
Requirements
- 7+ years of experience in Product Management, product development, strategic planning, process management, change delivery, or Agile Product Owner roles, or equivalent demonstrated through work experience, training, military experience, or education.
- Experience leading Artificial Intelligence (AI), machine learning (ML), or advanced analytics product management initiatives within financial services or other highly regulated enterprise environments.
- Proven ability to define, own, and execute a multi‑year AI product strategy and roadmap, aligned to enterprise priorities, business outcomes, and operational needs.
- Strong background in end‑to‑end product management for enterprise‑grade AI platforms, including backlog prioritization, roadmap delivery, platform modernization, and lifecycle ownership.
- Demonstrated experience translating business problems into AI use cases, value cases, and delivery plans, supporting advisor workflows, client experience, and operational processes.
- Experience leading cross‑product or portfolio‑level AI initiatives, identifying dependencies, synergies, risks, and prioritization tradeoffs across platforms and channels.
- Working knowledge of responsible AI principles, AI governance, model risk management, data dependencies, and regulatory expectations, with experience embedding controls into product design and delivery.
- Proven experience managing AI platforms, data‑driven solutions, or intelligent automation capabilities, including model deployment, workflow integration, and scalable platform evolution.
- Experience developing and owning business cases for AI capabilities, including articulation of business value, cost, risk, and investment tradeoffs.
- Strong partnership experience with Technology, Data, Engineering, Risk, Compliance, Legal, Operations, and external vendors in a matrixed enterprise environment.
- Demonstrated ability to influence senior leadership and executive stakeholders, providing clear product direction across strategy, execution, risk, and investment decisions.
- Track record of owning and managing business metrics, adoption metrics, operational metrics, and risk metrics for complex AI or data products.
- Experience operating within Agile or hybrid delivery models, coordinating multiple workstreams and cross‑functional teams to deliver measurable outcomes.
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Artificial Intelligence (AI)machine learning (ML)product managementbacklog prioritizationroadmap deliveryplatform modernizationmodel deploymentworkflow integrationdata-driven solutionsintelligent automation
Soft Skills
strategic planningchange deliveryinfluencing senior leadershipcross-functional collaborationcommunicationproblem-solvingrisk managementgovernancestakeholder engagementprioritization