Director of Software Engineering

JPMorgan Chase & Co.; Fairfax (DE); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Director of Software Engineering within Consumer & Community Banking Operations Tech to lead multiple technical domains and high-performing teams. You will drive scalable, resilient solutions and collaborate with senior leaders to advance technology objectives.

The role emphasizes agentic AI-enabled engineering, SDLC/TLM automation, and platform development aligned with the firm’s strategic vision. Strong leadership and cloud experience are essential.

Qualifications

• Formal training in software engineering concepts with 10+ years of applied experience.
• Experience leading cross-functional teams of technologists.
• Experience hiring, developing, and recognizing talent.
• Experience leading adoption of agentic AI-enabled engineering practices with secure data handling.

Responsibilities

• Lead multiple technology and process implementations across departments to achieve firmwide technology objectives.
• Directly manages multiple areas with strategic transactional focus.
• Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation across teams.
• Applies knowledge of SDLC toolchains to drive cross-domain reuse and measurable capacity unlocks.
• Provides leadership and oversight to teams across platforms, divisions, and lines of business.
• Interfaces with senior leaders and executives to drive consensus across objectives.

Skills

Leadership

Cross-functional teams

AI-enabled engineering

Cloud architecture

Stakeholder management

Talent development

Education

Bachelor's degree in Computer Science/Engineering/Mathematics

Job description

Shape the future of financial services at JPMorganChase. Join us to drive innovation, deliver impactful solutions, and lead teams at the forefront of technology.

As Director of Software Engineering at JPMorgan Chase within Consumer & Community Banking Operations Technology, you will lead multiple technical domains, managing high‑performing teams and collaborating across the organization. You will drive strategic platform development, champion industry best practices, and ensure delivery of scalable, resilient, and user‑centric solutions. Your leadership will guide the adoption of advanced technologies and frameworks, aligning with the firm’s vision and objectives.

Job Responsibilities

• Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
• Directly manages multiple areas with strategic transactional focus
• Sets and scales multi‑department strategy for agentic AI‑enabled engineering and SDLC/TLM automation (using enterprise‑authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost‑to‑serve), including portfolio‑level standards for AI‑orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to drive cross‑domain reuse and measurable capacity unlock outcomes across departments.
• Provides leadership and high‑level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
• Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
• Manages multiple stakeholders, complex projects, and large cross‑product collaborations
• 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