Wells Fargo

Enterprise Predictive AI Platform - Senior Lead Product Manager

Wells Fargo
US Charlotte, NC, US
Onsite 2026-06-26
Announced salary
$185,000 - $300,000
Low
$93K
Median
$131K
High
$179K
Market in Charlotte · BLS OEWS 2025
Estimated net pay
$10,906 - $16,976
/month · 29% withheld
after tax & contributions · Single, no dependents

Job description

**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. **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

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