Sr Director of Software Engineering - Insurance

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Director of Software Engineering within the Consumer & Community Bank Small Business team to lead engineering efforts that embed AI-native capabilities across the platform, driving speed and experimentation in AI tooling evolution.

You will oversee strategy, risk management, and cross-department delivery, while mentoring leaders and shaping governance, security, and scale for enterprise AI-enabled delivery workflows.

Qualifications

• Proven track record using AI coding assistants to accelerate development cycles.
• Experience designing and deploying agentic systems (LLM-powered agents, multi-step reasoning workflows).
• Drives adoption of an AI-augmented engineering culture with evolving tooling and best practices.

Responsibilities

• Drive the technical strategy and delivery of a new digital insurance platform with AI-native capabilities.
• Directly manages multiple technology delivery areas across departments.
• Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation.

Skills

AI coding tools

Agentic AI

Engineering leadership

Cloud platforms

Cybersecurity controls

Stakeholder management

Tools

GitHub Copilot

Cursor

Claude

Job description

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 up—embedding AI coding tools, agentic workflows, and LLM-powered capabilities into every layer of the platform—while 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 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
• 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