Manager of Software Engineering - Analytics & Feedback Platforms

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Manager of Software Engineering at JPMorganChase within the Employee Platforms, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities



* Provides guidance to immediate team of software engineers on daily tasks and activities


* Sets the overall guidance and expectations for team output, practices, and collaboration


* Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.


* Anticipates dependencies with other teams to deliver products and applications in line with business requirements


* Manages stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and business requirements

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering concepts and 5+ years applied experience.

In addition, demonstrated coaching and mentoring experience


* Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.


* Experience leading technology teams, managing technologists, and delivering complex technology initiatives from concept through production.


* Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.


* Hands-on experience delivering system design, application development, testing, deployment, and operational stability across the full Software Development Life Cycle.


* Strong full-stack engineering background with expertise in backend application development and application integrations.


* Expert-level knowledge of one or more programmi...