\\\\About this role\\\\ Wells Fargo is seeking a Senior Lead Product Manager Artificial Intelligence (AI) to join the Wealth & Investment Management (WIM) Chief Product Office (CPO) within the AI & Digital Asset Platforms team. This role will serve as a key product leader driving WIMs multiyear AI transformation agenda across advisor workflows, client experience, operations, and selfdirected channels. The Senior Lead AI Product Manager will be responsible for shaping and executing a cohesive, endtoend AI product strategy, informed by business priorities, operational needs, regulatory expectations, and enterprise AI standards. As AI initiatives rapidly expand across WIM, this role provides clear ownership, strategic alignment, and disciplined execution to ensure AI capabilities scale responsibly, securely, and consistently within a highly regulated financial services environment. \\\\In this role, you will\\\\ \\+ Define and own the AI product strategy, outcomes, and endstate vision, aligning WIM AI initiatives to enterprise priorities and measurable business value. \\+ Lead endtoend product management for complex, enterprisegrade 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 crossproduct AI portfolio management, identifying dependencies, synergies, and risks across platforms, workflows, and distribution channels. \\+ Guide longterm 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 crossfunctional 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. \\\\Required Qualifications\\\\ \\+ 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. \\\\Desired Qualifications\\\\ \\+ 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 multiyear AI product strategy and roadmap, aligned to enterprise priorities, business outcomes, and operational needs. \\+ Strong background in endtoend product management for enterprisegrade 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 crossproduct or portfoliolevel 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, datadriven 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 crossfunctional teams to deliver measurable outcomes. \\\\Job Expectations\\\\ \\+ Hybrid work schedule. \\+ This position is not eligible for Visa sponsorship. \\\\Pay Range\\\\ Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $139,000.00 - $239,000.00 \\\\Benefits\\\\ Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs () for an overview of the following benefit plans and programs offered to employees. \\+ 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 \\\\Posting End Date:\\\\ 14 Apr 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 units risk appetite and all risk and compliance program requirements. \\\\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. \\\\Req Number:\\\\ R-531300

The role requires a minimum of 7 years of experience in Product Management, product development, strategic planning, process management, change delivery, or Agile Product Owner roles. Desired qualifications include experience leading Artificial Intelligence (AI), machine learning (ML), or advanced analytics product management initiatives, particularly within financial services or other highly regulated environments. Proven ability to define, own, and execute a multiyear AI product strategy and roadmap is essential. Experience in end-to-end product management for enterprisegrade AI platforms, including backlog prioritization and roadmap delivery, is also noted. The position requires working knowledge of responsible AI principles, AI governance, model risk management, and regulatory expectations, with experience embedding controls into product design.