About the role
from job pagePromote innovation in financial services, deliver impactful solutions, and lead teams pushing the boundaries of modern technology.
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 a Senior 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
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: API design (REST, SOAP, gRPC, GraphQL), AWS cloud (EKS, networking, serverless, IAM), CI/CD, container orchestration (Kubernetes, Docker), event streaming (Kafka, Kinesis), CDN, front-end frameworks, observability (Datadog, CloudWatch, SLOs/SLIs), large-scale databases (PostgreSQL, Neo4j, Aurora), security, compliance, and QA automation.
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
Mastery of modern delivery methodologies (Agile, Scrum, Kanban), with adaptability to context.
Hands-on coding experience.
Extensive practical cloud native experience
Preferred qualifications, capabilities, and skills
Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
BS/MS in Computer Science, Engineering, or related technical field.