Managing Director, Tech Partner, Collections & Auto Servicing

Managing Director of Software Engineering / Tech Partner – Collections & Auto Servicing

If you are looking for an opportunity to lead and shape the future of technology at one of the world’s most influential companies, JPMorganChase is the place for you.

As a Tech Partner for Collections and Auto Servicing / Managing Director of Software Engineering, you are a seasoned technologist and senior people leader responsible for driving large‑scale, business‑critical technology outcomes. You will manage multiple technology‑driven initiatives and teams, influence strategy through deep domain expertise and technical mastery, and provide expert guidance to senior leaders while setting clear technical direction for your organization.

This role requires strong leadership across cloud‑native platforms, event‑driven architectures, AI‑assisted and agentic systems, and large‑scale automation, while maintaining the highest standards of resilience, security, and operational excellence.

Job Responsibilities

• Lead multiple technical functions of software engineers delivering some of the firm’s most visible, complex, and mission‑critical programs, with impact spanning departments, platforms, and systems
• Set technical and architectural direction across modernization, new build, platform evolution, and AI‑enabled automation, ensuring solutions are scalable, resilient, and secure
• Drive adoption of cloud‑native and event‑driven architectures, with a strong preference for AWS‑based services and patterns
• Partner with enterprise technology leaders to shape strategy across products, platforms, programs, and services, including the effective use of AI, agentic workflows, and automation frameworks
• Influence and drive change at the highest levels of the firm, fostering a culture of innovation, engineering excellence, accountability, and continuous learning
• Act as a trusted advisor to executive stakeholders across lines of business; remove organizational and technical barriers and secure resources to help teams succeed
• Guide teams in the responsible and effective use of AI‑assisted development tools, intelligent orchestration, and automation to accelerate delivery and improve quality
• Champion the firm’s culture of diversity, opportunity, inclusion, and respect while developing the next generation of senior engineering leaders

Required Qualifications, Skills, and Capabilities

Leadership & Experience

• 10 years of experience in software engineering and senior technology leadership roles
• Proven experience managing large, complex technology organizations across multiple locations and time zones
• Demonstrated ability to influence technology strategy and align teams across functions to deliver strategic outcomes
• Strong track record of building, mentoring, and inspiring senior engineering leaders and high‑performing teams

Cloud & Architecture (AWS Preferred)

• Extensive hands‑on experience with cloud‑native architectures, preferably on AWS
• Deep understanding of microservices, containers, Kubernetes, and service orchestration
• Strong experience designing and operating event‑driven systems (e.g., messaging, streaming, asynchronous workflows)
• Expertise in building highly available, fault‑tolerant, and scalable distributed systems

AI, Agentic & Intelligent Automation

• Experience designing, evaluating, or governing AI‑enabled systems, including agentic workflows and intelligent orchestration
• Strong understanding of AI‑assisted software development, including productivity tooling, automated testing, and code generation
• Ability to guide teams on when and how to use agentic patterns versus traditional automation
• Experience integrating AI and automation into operational workflows while managing risk, controls, and compliance

Engineering Excellence

• Deep knowledge of modern software engineering practices: CI/CD, infrastructure as code, automated testing, observability, and SRE principles
• Experience leading large‑scale modernization efforts, including legacy migrations and platform refactoring
• Strong grasp of API‑first design, data contracts, and reusable platform capabilities

Technical Foundation

• Advanced expertise in Computer Science, Computer Engineering, Mathematics, or a related technical discipline
• Strong grounding in system design, algorithms, and software architecture

Preferred Qualifications, Skills, and Capabilities

• Recognized thought leader with demonstrated impact in large‑scale enterprise technology environments
• Experience working at the code level, including reviewing, refactoring, or guiding complex implementations
• Experience building or evolving shared platforms, frameworks, or developer tooling used across multiple teams
• Background in regulated, high‑availability, or mission‑critical systems
• Track record of translating business strategy into durable, cloud‑based, event‑driven, and AI‑enabled technical capabilities