Sr. Director of Software Engineering - Business Banking

JPMorgan Chase; Columbus (OH); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase is seeking a senior technology leader to drive the delivery of an AI-native digital insurance platform. You will guide multi-department strategy, govern AI-enabled engineering practices, and ensure scalable, secure, high-performance solutions in production.

You will collaborate with executives, set standards for governance, and mentor teams across the organization to accelerate innovation while maintaining risk controls.

Qualifications

• Proven track record using AI coding assistants to accelerate development cycles and coach teams.
• Experience designing and deploying agentic systems in production.
• Drives adoption of AI-augmented engineering culture and governance.
• Experience leading multi-organization adoption of agentic AI-enabled operating models.
• Deep understanding of responsible AI risk, controls, and resiliency expectations.
• Deep expertise in system design, application development, testing, and operational stability for digital platforms.
• Experience with cloud technologies (AWS, GCP, Azure) and modern design patterns.

Responsibilities

• Drive the technical strategy and delivery of a new digital insurance platform with AI-native capabilities.
• Direct and manage all aspects of technology delivery across departments.
• Lead multiple technology implementations to achieve firmwide objectives.
• Set and scale multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation.
• Apply knowledge of SDLC tools and AI-assisted development to enable cross-domain reuse and capacity gains.
• Interface with senior leaders and executives to drive consensus on objectives.
• Manage multiple stakeholders, complex projects, and large cross-product collaborations.
• Influence peer leaders across business, product, and technology teams.

Skills

AI coding assistants

Agentic systems design

AI-augmented engineering

Governance & measurement

Secure handling of data

System design

Cloud technologies

Leadership & mentoring

Security controls

Tools

GitHub Copilot

Cursor

Claude

Job description

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.

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