About this role: Wells Fargo is seeking an Enterprise Senior Lead AI Product Manager

• Go to Market (Senior Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation.

Learn more about the career areas and lines of business at wellsfargojobs.com. You will drive the adoption and delivery of enterprise AI/ML capabilities across the organization. In this role, you will serve as the critical bridge connecting product, engineering, end users, and line-of-business stakeholders. You will shape the go-to-market strategy for AI platform capabilities, driving the adoption of machine learning and predictive AI solutions across both on-premises and cloud environments. Success in this role requires delivering clear guidance, scalable enablement, and strong cross-functional partnerships to support emerging capabilities and maximize value. You will lead platform releases and feature rollouts across business and technology domains, coordinating closely with product and engineering teams to manage technical dependencies, risks, and escalations. Additionally, you will orchestrate onboarding, training, documentation, and support programs that enable teams to seamlessly integrate AI into their development workflows. Maintaining a deep understanding of customer workflows, you will gather insights that inform roadmap priorities, enhance usability, and establish scalable platform patterns. You will also ensure readiness and compliance across governance, security, and responsible AI frameworks. Finally, you will deliver executive-ready communications that highlight adoption trends, business impact, and quality metrics—championing a feedback-driven, customer-centric go-to-market approach that accelerates time to value and scales AI success across the organization. In this role, you will: Act as an advisor to senior leadership in developing a large cross functional team to identify and execute complex artificial intelligence initiatives that span a large line of business Provide consultation to more experienced leaders in order to recommend solutions which solve business challenges Lead the strategy and resolution of highly complex challenges ensuring the solution delivers the intended benefits Leverage Artificial Intelligence expertise to evaluate technological readiness, data availability, and resources required to execute the proposed solutions Provide direction on key issues which may arise during development or implementation Cultivate relationships with clients to identify and develop a pipeline of future Artificial Intelligence opportunities which align with the strategic priorities of the business Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Required Qualifications:

7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 3+ years' experience across product/solution management, program delivery, or technical product ownership for AI/ML platforms, or cloud-native solutions 3+ years hands-on experience with cloud technologies (GCP, or Azure) and container orchestration (Docker, Kubernetes/OpenShift)

Desired Qualifications:

5+ years of experience across the AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk management Proven experience operating within large enterprise environments (regulated industry experience preferred) and building scalable, production-grade platforms Hands-on expertise with Generative AI and agentic AI frameworks, including LLMs, diffusion models, RAG, and tool-based agents; familiarity with ecosystems such as Azure OpenAI, Hugging Face, LangChain/LangGraph, ADK, and vector databases Strong experience with MLOps/LLMOps practices and tooling, including model registries, CI/CD pipelines, feature stores, prompt and chain versioning, evaluation frameworks, guardrails, and monitoring Exceptional communication skills with the ability to translate complex technical concepts into clear, actionable insights and influence senior stakeholders Working knowledge of modern AI/ML platform components and services, such as Vertex AI, BigQuery, OpenShift, IBM Cloud Pak for Data (CP4D), and distributed model execution platforms Demonstrated ability to develop and execute executive-level roadmaps and dashboards that clearly articulate business impact, adoption trends, and risk posture Deep technical acumen with the ability to engage at a detailed level across APIs, SDKs, security controls, data contracts, and system performance Strong negotiation, stakeholder management, and cross-functional leadership capabilities, with a track record of driving alignment and outcomes across diverse teams

Job Expectations:

Position offers a hybrid work schedule This position is not eligible for Visa sponsorship Relocation assistance is not available for this position

Posting Location:

300 South Brevard Street, Charlotte, North Carolina 28202 550 South 4th Street, Minneapolis, Minnesota 55415 2190 Willow Pass Road, Concord, California 94520 NC

• Charlotte Pay Range:

  $185,000
• $300,000 Annually MN

• Minneapolis Pay Range:

  $185,000
• $300,000 Annually CA

• Concord Pay Range:

  $185,000
• $300,000 Annually 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. $185,000.00
• $300,000.00 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:

6 Sep 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. 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.