Quantitative Analytics Senior Manager -Agentic AI Platform & Product Owner

Wells Fargo

Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC · Minneapolis, MN · Irving, TX · West Des Moines, IA · Saint Louis, MO · Tempe, AZ · San Francisco, CA
Salary
$185,000–$300,000 / yr
Posted
3 days ago
Closes
Jun 12, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $242k
$150k most similar roles pay here $316k

This role pays more than 69% of similar roles. Most pay $165,760–$246,150 — the shaded band above. At the midpoint, this role pays about $242k versus about $206k for comparable roles.

Based on 239 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 62 open roles on FindRole.

Listed pay typically runs $119,000–$224,000 across 33 roles with salary data.

Most-posted roles

View all roles at Wells Fargo

At a glance

TL;DR · Quantitative Analytics Senior Manager -Agentic AI Platform & Product Owner

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Wells Fargo is hiring a Quantitative Analytics Senior Manager to join its Frontier AI Model Methodology team, where you will lead the development of an Enterprise Model Validation platform using advanced AI agents on Google Cloud Platform. Your daily tasks include driving automated validation and real-time monitoring capabilities, collaborating with technology partners, and managing a team of AI experts to build scalable solutions that enhance model validations across Wells Fargo’s extensive operations. Ideal candidates possess hands-on experience in building agentic AI systems, expertise in GenAI technologies like large language models, and a strong background in financial services. The role demands proficiency in cloud-native environments, product development, and agile methodologies while fostering a culture of continuous improvement within the team.

Skills

Google Cloud Platform GenAI Large Language Models Agentic AI GitHub Copilot Scrum Kanban Python Java SQL PostgreSQL Docker Kubernetes CI/CD Prometheus Grafana

What you'll do

  • Drive the development of AI agentic-based model validation, testing, and real-time monitoring capabilities.
  • Lead cross-functional collaboration with technology partners to accelerate delivery and strengthen execution.
  • Manage a team of highly skilled AI scientists and engineers for scalable platform solutions.
  • Define AI product requirements and manage the lifecycle of agentic products for successful delivery.
  • Develop and guide a culture of talent development to meet business objectives and strategy.
  • Partner with Model Risk and Development teams to design and build agent-based solutions.

What we're looking for

  • 7+ years of quantitative analytical experience or equivalent
  • Master's degree in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
  • Experience leading technical teams building agentic AI systems on cloud platforms like GCP
  • Expertise in designing and delivering scalable AI/ML solutions for real-time model validation and monitoring
  • Proven leadership in Agile development environments with sprint planning and continuous improvement
  • Strong domain expertise in financial services for AI/ML product delivery and alignment

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