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Wells Fargo · 4 hours ago

Enterprise AI Platform - Predictive AI Product Manager

Minneapolis, MN

Full-time

Hybrid

Senior Level

$159K/yr - $254K/yr

5+ years exp

Wells Fargo is seeking an Enterprise AI Platform - Predictive AI Product Manager as part of the Digital Capabilities team under Digital Technology & Innovation. The role involves building and scaling core platform capabilities for the Enterprise Predictive AI Platform and ensuring the delivery and adoption of AI/ML capabilities across the organization.

BankingFinancial ServicesFinTechInsurancePayments

No H1B

Responsibilities

Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business

Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges

Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits

Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions

Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders

Resolve issues which may arise during development or implementation

Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals

Qualification

Artificial Intelligence SolutionsProduct ManagementAI/ML LifecyclePublic Cloud TechnologiesMLOps PracticesTechnical DepthStakeholder EngagementCross-Functional LeadershipCommunication SkillsNegotiation Skills

Required

5+ 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 in product management, solution management, program delivery, or technical product ownership, with a focus on AI/ML platforms, APIs, and/or cloud-native solutions

5+ years of experience across the AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk controls

2+ years of hands-on experience with public cloud technologies (Google Cloud Platform and/or Microsoft Azure) and container orchestration (Docker, Kubernetes, OpenShift)

Preferred

Demonstrated experience leading technology governance initiatives related to resiliency, risk management, and regulatory execution within large-scale banking or financial services organizations

Excellent communication and executive presence, with the ability to influence senior stakeholders and translate complex technical concepts into clear, actionable insights

Proven success operating in large enterprise environments-preferably within regulated industries-and building platforms and capabilities at scale

Experience with MLOps and LLMOps practices and tooling, including model registries, CI/CD pipelines, feature stores, prompt/chain/versioning, evaluation frameworks, guardrails, and monitoring

Working knowledge of enterprise platform components and services such as Vertex AI, BigQuery, OpenShift, IBM Cloud Pak for Data (CP4D), and large-scale distributed model execution platforms (e.g., NX1 or equivalent)

Proven ability to develop and execute executive-level roadmaps, dashboards, and reporting that clearly demonstrate business impact and risk posture

Strong technical depth, with the ability to dive into APIs, SDKs, security controls, data contracts, and performance and reliability considerations

Strong negotiation, stakeholder engagement, and cross-functional leadership skills, with a track record of driving alignment and execution across teams