Sr. Director of Software Engineering - Business Banking

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 Consumer and Community Banking, 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
- Drive the technical strategy and delivery of a new digital insurance platform, embedding AI-native capabilities (agentic workflows, LLM-powered features) into core product experiences
- Responsible for directing and managing all aspects of technology delivery
- Leads multiple technology 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
- Acts 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
- Influences peer leaders and senior stakeholders across the business, product, and technology teams

Required qualifications, capabilities, and skills
- Proven track record using AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to accelerate development cycles, and ability to coach teams to adopt these tools as standard practice
- Experience designing and deploying agentic systems (e.g., LLM-powered agents, multi-step reasoning workflows, tool-using AI) in production environments
- Drives adoption of an AI-augmented engineering culture—setting standards, running experiments, and building team confidence as tooling and best practices evolve in real time
- 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
- Deep expertise in system design, application development, testing, and operational stability for commercially used digital platforms web and/or mobile
- Deep expertise in building and operating large scale high performance digital applications (web and/or mobile) with distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
- Deep expertise with enterprise design patterns and industry best practices with experience using modern technologies and design patterns (e.g., micro services, APIs, etc.)
- Experience with building, leading and mentoring technology teams, and next level leaders within the organization
- Experience with implementing industry standard cybersecurity & technology controls

Preferred qualifications, capabilities, and skills
- Preferred experience with specific cloud providers (e.g., AWS, GCP, Azure) beyond the required expertise
- Experience building and leading engineering for digital insurance platforms, including policy management, quoting, servicing, carrier integrations, and agency management tools