Sr Manager of Software Engineering - Supply Chain

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.

Job responsibilities

• Leads, develops, and manages software engineering teams, fostering a culture of inclusion, accountability, technical excellence, continuous improvement, and collaboration

• Establishes and executes engineering strategy, roadmaps, priorities, and delivery plans aligned with business objectives

• Oversees software solution design, development, testing, deployment, and technical troubleshooting across multiple applications and technical domains

• Partners with product and business stakeholders to define priorities, manage scope, resolve dependencies, and ensure predictable delivery

• Oversees release management, deployment coordination, production readiness, change management, and operational stability

• Drives adoption and continuous improvement of CI/CD pipelines, automated testing, infrastructure automation, observability, and secure software delivery practices

• Identifies, assesses, and mitigates technology, delivery, operational, cyber, and regulatory risks

• Ensures the creation and maintenance of architecture, design, risk, control, and delivery artifacts

• Uses data, metrics, and reporting to identify trends, improve engineering performance, and strengthen application and system health

• 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 skills

• Formal 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