Senior Manager, Software Engineering, Quantitative Data & Analytics

Wells Fargo

Confirmed live today High trust
Closes in 2 days Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today
Closes
Oct 3, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $183k
$109k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $152,557–$214,225.

Based on 240 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 29 open roles on FindRole.

Listed pay typically runs $143,000–$224,000 across 13 roles with salary data.

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At a glance

TL;DR · Senior Manager, Software Engineering, Quantitative Data & Analytics

The Software Engineering Senior Manager – Quantitative Data & Analytics leads a team of engineering professionals focused on modernizing the Wealth & Investment Management analytics ecosystem. This leader manages data engineers and managers to build scalable, secure, and reliable data solutions for enterprise reporting and business intelligence. Key responsibilities include overseeing large-scale data pipelines, designing data models, and building an AI context layer featuring semantic layers, business ontologies, and knowledge graphs. The role involves transforming legacy platforms into governed, reusable data environments while implementing modern practices like data orchestration and cloud-based technologies. Required expertise includes extensive experience in data engineering, managing enterprise data warehouses or lakes, and utilizing tools for metadata management and RAG. The position addresses the challenge of providing a trusted, governed understanding of analytics data to power AI assistants and self-service users within financial services.

What you'll do

  • Manage, coach, and develop a team of data engineers and engineering managers to deliver enterprise data solutions.
  • Lead the design and build-out of an AI context layer including semantic layers, business ontologies, and governed metadata.
  • Drive the modernization of legacy reporting and data-processing environments into scalable, governed, and reusable platforms.
  • Oversee the design and implementation of large-scale data pipelines, models, integration solutions, and analytics platforms.
  • Establish and execute strategic priorities that align data engineering capabilities with business objectives and technology roadmaps.
  • Ensure all systems meet non-functional requirements including security, stability, scalability, performance, and cost optimization.
  • Partner with stakeholders to prioritize work, define requirements, and ensure compliance with risk and regulatory standards.
  • Manage resource planning, budget oversight, and talent development to support organizational goals and innovation.

What we're looking for

  • 7+ years of Software Engineering experience or equivalent.
  • 7+ years of Data Engineering experience or equivalent.
  • 3+ years of management or leadership experience.
  • 3+ years of experience operating large-scale enterprise data and analytics platforms.
  • 2+ years of experience using modern data and AI tools to build AI context layers.
  • Bachelor's degree or higher in Computer Science, Information Systems, Engineering, Data Science, or a related field (preferred).
  • Experience building an enterprise AI context layer including semantic layers and business ontologies (preferred).
  • Experience with cloud-based data platforms, modern data architectures, and Agile delivery methodologies (preferred).

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