Sr. Director of Software Engineering

JPMorgan Chase & Co.•Wilmington, DE

About The Position

As a Senior Director of Software Engineering at JPMorgan Chase within Consumer & Community Banking Operations Technology, you will lead multiple technical domains, manage high-performing teams, and collaborate across the organization. You will drive strategic platform development, champion industry best practices, and ensure delivery of scalable, resilient, user-centric solutions. Your leadership will guide adoption of advanced technologies and frameworks in alignment with the firm’s vision and objectives. The role leads technology and process implementations across departments and sets multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation using enterprise-authorized tools. This includes establishing standards and guardrails for AI-orchestrated delivery workflows, release governance, automated testing, resilience engineering, incident response, validation, security, traceability, and reuse. The role provides high-level direction across multiple platforms, divisions, and lines of business, and acts as a key interface with senior leaders, stakeholders, and executives. JPMorgan Chase offers a competitive total rewards package, with base salary determined by role, experience, skill set, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity. Benefits and programs are eligibility-based and include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.

Requirements

  • Formal training or certification in software engineering concepts and 10+ years of applied experience.
  • 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within the relevant domain.
  • Proven success delivering complex, multi-team programs at scale and on schedule.
  • Experience developing or leading large or cross-functional teams of technologists.
  • Deep expertise across the technology stack, including API design (REST, SOAP, gRPC, GraphQL); AWS cloud (EKS, networking, serverless, IAM); CI/CD; Kubernetes and Docker; Kafka and Kinesis; CDN; front-end frameworks; Datadog, CloudWatch, SLOs/SLIs; PostgreSQL, Neo4j, and Aurora; security, compliance, and QA automation.
  • Experience leading multi-organization adoption of agentic AI-enabled engineering operating models using enterprise-authorized workplace tools, including governance, human-in-the-loop decisioning, quality gates, measurement frameworks, and secure handling of sensitive inputs and outputs.
  • Deep understanding of responsible AI risk, controls, and resiliency and 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.
  • Mastery of modern delivery methodologies, including Agile, Scrum, and Kanban, with adaptability to context.
  • Hands-on coding experience.
  • Extensive practical cloud-native experience.

Nice To Haves

  • Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale.
  • BS/MS in Computer Science, Engineering, or a related technical field.

Responsibilities

  • Lead multiple technology and process implementations across departments to achieve firmwide technology objectives.
  • Directly manage multiple areas with a strategic transactional focus.
  • Set and scale multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation using enterprise-authorized workplace tools.
  • Establish portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration.
  • Establish guardrails for validation, security, resiliency, traceability, and reuse.
  • Use knowledge of 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.
  • Provide leadership and high-level direction to teams, frequently overseeing employee populations across multiple platforms, divisions, and lines of business.
  • Act as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives.
  • Manage multiple stakeholders, complex projects, and large cross-product collaborations.
  • Influence peer leaders and senior stakeholders across business, product, and technology teams.
  • Lead complex, multi-team programs at scale and on schedule.
  • Lead system design, testing, and operational stability for complex projects.
  • Hire, develop, and recognize talent.
  • Advise senior leaders on responsible AI adoption, portfolio governance, and reuse-first strategies.

Benefits

  • Competitive total rewards package with base salary determined by role, experience, skill set, and location.
  • Commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, may be available for eligible roles.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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