Sr Manager of Software Engineering - Supply Chain

Job Description: 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 Corporate Sector - Infrastructure Platform Supply Chain platform, 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.

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. Required Qualifications, Capabilities, And SkillsFormal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience Experience managing, mentoring, and developing software engineering teams in a large corporate or financial services environment Demonstrated experience leading software delivery across architecture, application development, testing, deployment, release management, and operational stability Strong understanding of software engineering strategy, technical roadmaps, delivery governance, and organizational change Experience leading agile teams and managing program increments, delivery dependencies, backlogs, and continuous improvement Deep understanding of cloud architecture, virtualization, APIs, data models, event-driven solutions, and modern software frameworks Strong knowledge of SDLC practices, CI/CD, DevSecOps, application resiliency, security, and automated testing Experience establishing or improving engineering standards, release processes, operational controls, and production readiness practices Understanding of technology risk management, governance, regulatory expectations, and control processes 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 Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies and cloud-native architecture Experience with enterprise architecture, platform engineering, or large-scale distributed systems Experience with release orchestration, DevSecOps tooling, observability, and automated deployment platforms Experience managing technology risk, audit activities, controls, or regulatory engagements Experience leading engineering organizations through large-scale transformation or modernization initiatives