Enterprise Predictive AI Platform - Senior Lead Product Manager
About This Role
Wells Fargo is seeking a Senior Lead Product Manager (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.
This platform enables end-to-end AI lifecycle capabilities, including model development, deployment, feature engineering, inferencing, monitoring, and governance. It plays a critical role in powering high-impact predictive AI use cases across multiple lines of business, ensuring models are built, deployed, and operated securely, reliably, and at enterprise scale. This role sits at the forefront of Wells Fargo's AI transformation. You will partner closely with senior leaders across business, technology, data science, risk, cybersecurity, architecture, infrastructure, and model governance to modernize the platform, enhance the user experience, drive adoption, and deliver measurable business outcomes.
The ideal candidate is a strategic product leader with deep experience in AI/ML platforms, strong technical and cloud fluency, a human-centered design mindset, and a track record of driving complex initiatives from vision through delivery.
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
- 5+ years of experience leading product development, technology delivery, or enterprise-scale capability development
- 3+ years of experience leading cross-functional teams or managing complex, large-scale technology programs
- 3+ years of experience working with cloud technologies, AI/ML platforms, data platforms, or hybrid infrastructure environments
Desired Qualifications
- Experience with AI/ML platforms and capabilities such as MLOps, model lifecycle management, model deployment, monitoring, AutoML, feature engineering, and model governance
- Knowledge of modern technology environments, including hybrid cloud, Kubernetes/OpenShift, APIs, distributed systems, data platforms, and enterprise infrastructure
- Experience building and scaling platform products for technical users, including data scientists, ML engineers, application developers, and analytics teams
- Experience operating in highly regulated environments with strong requirements for security, controls, compliance, resiliency, and operational readiness
- Proven ability to influence and align senior stakeholders across engineering, business, and control functions
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 Locations
- 300 South Brevard Street, Charlotte, North Carolina 28202
- 550 South 4th Street, Minneapolis, Minnesota 55415
- 2190 Willow Pass Road, Concord, California 94520
Pay Range
- 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
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
- Commute benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date
10 Jul 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.
Recruitment and Hiring Requirements
Third-Party recordings are prohibited unless authorized by Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug-free workplace. Please see our Drug and Alcohol Policy to learn more.