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As a Senior Director of Software Engineering at JPMorgan Chase within the Claims and Disputes team, 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
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.
Accelerates delivery through GenAI enablement, implementing tools to enhance and achieve efficiencies
Participates actively in architecture reviews to ensure robust and scalable system designs and engages in design reviews to maintain high-quality standards and innovative solutions
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+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization
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 in GenerativeAI
Experience with hiring, developing, and recognizing talent
Experience with AWS public cloud to optimize and support cloud-based solutions.
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

AI/ML Certifications