Director of Software Engineering

JPMorgan Chase; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

JPMorganChase is seeking a Director of Software Engineering within the Card Authorizations team. You will lead a technical area, drive impact across departments, and serve as a primary decision maker to deliver innovative solutions.

The role requires extensive experience in software engineering, leadership of technologists, and governance of AI-enabled engineering practices. The position emphasizes strategic delivery, cloud-native capabilities, and responsible AI governance across teams, with

Qualifications

• Formal training or certification on software engineering concepts.
• 10+ years of applied software engineering experience.
• 5+ years of experience leading technologists.
• Experience leading cross-functional teams of technologists.

Responsibilities

• Leads technology and process implementations to achieve functional technology objectives.
• Accountable for decisions influencing resources, budget, and operational processes.
• Sets direction and governance for AI-enabled engineering and SDLC automation across a technical area.
• Applies knowledge of SDLC toolchains to improve automation and capacity at scale.
• Governance accountability for coding decisions, cost of ownership, maintainability, and portfolio operations.
• Delivers technical solutions that can be leveraged across multiple businesses and domains.
• Influences peer leaders and senior stakeholders across business, product, and technology.

Skills

Leadership

Cross-functional leadership

AI-enabled engineering

SDLC automation

Governance

Cloud native

Talent development

Stakeholder influence

Education

Bachelor's degree in CS/CE/Math

Job description

If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you.

As a Director of Software Engineering at JPMorganChase within the Card Authorizations team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities

• Leads technology and process implementations to achieve functional technology objectives
• Accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse 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 at scale.
• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Delivers technical solutions that can be leveraged across multiple businesses and domains
• Influences peer leaders and senior stakeholders across the business, product, and technology teams

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Experience developing or leading cross-functional teams of technologists
• Experience with hiring, developing, and recognizing talent
• Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
• Practical cloud native experience
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field