R-565033 Software Engineer Senior Manager - Cross Channel Banker Platform

Wells Fargo•Columbus, OH

2d•$159,000 - $254,000•Hybrid

About The Position

Wells Fargo is seeking a forward-thinking, hands-on Software Engineering Senior Manager to lead the modernization of banker-facing servicing platforms. The role operates in an AI-native engineering environment, using AI-powered capabilities to accelerate delivery, modernize technology, and reimagine how bankers serve customers. It offers the opportunity to shape customer and employee experiences at a leading financial institution. The position provides people and technical leadership across engineering teams and leaders, while remaining closely involved in solution design, code and technical reviews, engineering quality, architecture alignment, and complex technical problem solving. The Senior Manager partners with architects, product leaders, and senior engineers to advance technology strategy and next-generation architecture, including application modernization, cloud readiness, APIs, data, security, resiliency, and scalability. The role champions AI-assisted and agentic engineering across the software development lifecycle, leads execution and delivery, manages technical risks and roadblocks, and fosters experimentation, continuous learning, DevOps, and engineering excellence. It also manages people and financial resources, third-party partnerships, and delivery commitments in alignment with business and technology objectives. The position requires up to 10% travel and a hybrid schedule with three days per week in the office. It is not eligible for visa sponsorship.

Requirements

7+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
3+ years of management or leadership experience.
1+ years of hands-on experience using AI-assisted software engineering tools or AI capabilities to improve engineering productivity, software delivery, or business outcomes.

Nice To Haves

Demonstrated hands-on engineering experience with modern software development technologies, architecture, and engineering practices.
Experience working in large-scale or complex technology environments.
Experience with Agile software development, CI/CD pipelines, DevOps practices, automated testing, and modern product delivery.
Strong technical depth and ability to engage engineers in architecture, application design, code quality, engineering standards, and complex technical problem solving.
Experience with Generative AI, LLMs, agentic AI, AI-assisted software development, or building AI-powered applications and engineering solutions.
Experience building and modernizing enterprise applications, digital platforms, APIs, customer or employee journeys, or other large-scale technology solutions.
Experience leading engineering teams in a complex, geographically distributed, or global delivery environment.
Ability to challenge established approaches, leverage emerging technologies, and create a culture of innovation, engineering excellence, and continuous improvement.
Strong communication and stakeholder management skills, including the ability to influence technical and business leaders and clearly articulate complex technology strategies, decisions, and risks.
Ability to travel up to 10% of the time.
Ability to work in a global delivery environment and on a hybrid schedule, including three days per week in the office.

Responsibilities

Manage, coach, and develop engineers and engineering leaders delivering high-quality capabilities using modern engineering practices and technologies.
Lead modernization of banker-facing servicing platforms using modern architecture, cloud, automation, and AI-native engineering practices.
Provide technical leadership in solution design, code and technical reviews, engineering quality, architecture alignment, and resolution of complex technical challenges.
Partner with architects, product leaders, and senior engineers on technology strategy and architecture, including application modernization, cloud readiness, APIs, data, security, resiliency, and scalability.
Champion AI-assisted and agentic engineering capabilities across the software development lifecycle to accelerate delivery, improve quality, automate engineering activities, and create business value.
Lead software development lifecycle execution, remove technical roadblocks, manage technology risk, and foster experimentation, continuous learning, DevOps, and engineering excellence.
Manage people and financial resources, third-party partnerships, and delivery commitments, ensuring investments align with strategic technology and business objectives.
Fulfill applicable risk and compliance responsibilities, including following policies and procedures, escalating and remediating issues, and making sound risk decisions.