Sr. Director of Software Engineering

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Director of Software Engineering in Jersey City. You will lead technology implementations across departments, focusing on AI-enabled engineering. With over 10 years of experience in software engineering, you will provide leadership across multiple teams and help shape the firm's technological advancements.

Your role includes influencing strategic decisions and managing cross-product collaborations. Candidates should have extensive experience leading large teams and a deep understanding of responsible AI risk.

Qualifications

• 10+ years applied experience in software engineering concepts.
• 5+ years leading cross-functional teams.
• Deep understanding of responsible AI risk and resiliency.

Responsibilities

• Lead technology and process implementations across departments.
• Manage strategic transactional focus across areas.
• Provide leadership and direction to teams.
• Interface with senior leaders and drive consensus.
• Manage complex projects and stakeholder collaborations.

Skills

Software engineering concepts

Leadership in technology

Influencing across organizations

Responsible AI risk and controls

Cloud native experience

Job description

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together. As a Senior Director of Software Engineering at JPMorganChase within the Card Technology organization, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.

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 large or cross-functional teams of technologists
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
• Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
• Experience leading complex projects supporting system design, testing, and operational stability
• Experience with hiring, developing, and recognizing talent
• Extensive practical cloud native experience