Sr Director of Software Engineering Insurance

JPMorgan Chase is on a journey to be the most recommended financial partner for small business owners in our communities as they start run and grow their business. This role isan opportunity to be at the forefront ofbuilding a best-in-class integrated digital-ledP&C Insurance business withina leading financialservices brand focusedon deepening relationshipswith our>7MMsmall business clients.

As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer & Community Bank Small Business team you will lead engineering teams to build AI-native solutions from the ground upembedding AI coding tools agentic workflows and LLM-powered capabilities into every layer of the platformwhile transforming team culture to operate with speed and experimentation as AI tooling evolves. Your exceptional communication and influencing abilities will foster productive relationships with executive stakeholders ensuring alignment effective risk management and high-confidence operational delivery.

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 culturesetting 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
• Experience building and leading engineering for digital insurance platforms including policy management quoting servicing carrier integrations and agency management tools
• Deep expertise in system design application development testing and operational stability for commercially used digital platformsweb 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

• Experience leading engineering culture transformation initiatives particularly driving adoption of AI tooling new development workflows or technical practice changes across distributed teams
• Preferred experience with specific cloud providers (e.g. AWS GCP Azure) beyond the required expertise
• Excellent communication and presentation skills with ability to influence key stakeholders across cross functional teams
• Strong organizational and management skills