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

Wells Fargo Bank•Columbus, OH

1d•Hybrid

About The Position

Wells Fargo is seeking a forward-thinking, hands-on Software Engineering Senior Manager to lead 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 an opportunity to shape customer and employee experiences at a leading financial institution. The Senior Manager leads and develops engineers and engineering leaders delivering high-quality capabilities with modern engineering practices and technologies. The role provides technical leadership across solution design, code and technical reviews, engineering quality, architecture alignment, and complex technical challenges. In partnership with architects, product leaders, and senior engineers, the role advances technology strategy and next-generation architecture across application modernization, cloud readiness, APIs, data, security, resiliency, and scalability. The position champions AI-assisted and agentic engineering throughout the software development lifecycle, leads delivery and risk management, and fosters experimentation, continuous learning, DevOps, and engineering excellence. It also manages people and financial resources, third-party partnerships, and delivery commitments, ensuring investments align with strategic technology and business objectives. The role requires working in a global delivery environment and on a hybrid schedule, including three days per week in the office, and may require travel up to 10% of the time. The position is not eligible for visa sponsorship.

Requirements

7+ years of software engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
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

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 complex, geographically distributed, or global delivery environments.
Ability to challenge established approaches, leverage emerging technologies, and foster innovation, engineering excellence, and continuous improvement.
Strong communication and stakeholder management skills, including the ability to influence technical and business leaders and articulate complex technology strategies, decisions, and risks.

Responsibilities

Manage, coach, and develop engineering teams and engineering leaders.
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 to advance technology strategy and next-generation architecture.
Identify and champion opportunities to use AI-assisted and agentic engineering across the software development lifecycle.
Lead execution across the software development lifecycle, remove technical roadblocks, and manage technology risk.
Foster experimentation, continuous learning, DevOps, and engineering excellence.
Manage people and financial resources, third-party partnerships, and delivery commitments.
Ensure investments align with strategic technology and business objectives.