Director of Software Engineering, Acceleration & Modern Engineering Practices (Asset Management)

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As a Director of Software Engineering at JPMorganChase within the Asset & Wealth Management, Asset Management Acceleration Pod Team, you, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

This Executive Director Software Engineering leader will stand up and run the Asset Management Acceleration Program ("Acceleration Pod") a dedicated, cross-functional delivery pod that executes a structured flow from idea → validation → pilot/POC → demo → production, with tight governance and rapid iteration to deliver measurable business outcomes.

You will combine deep hands-on engineering expertise with senior leadership to drive modern software delivery (CI/CD, testing modernization, cloud-native architecture, APIs/integration, data modeling) and establish an operating model that emphasizes small, focused scopes; reuse of standardized components; short sprint cycles and fast experimentation.

Job responsibilities



* Creates complex and scalable coding frameworks using appropriate software design frameworks


* Develops secure and high-quality production code, and reviews and debugs code written by others


* Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.


* Set technical direction for architecture, integration patterns, API strategy, data modeling, and platform engineering while modernizing engineering practices (CI/CD pipelines, automated testing frameworks, release readiness controls, observability, and production support operating procedures) to accelerate delivery and maintain reliability, security, and maintainability


* Run pod governance (council + standups) to prioritize work, clear blockers, and drive Go/No-Go decisions, partnering with senior sponsors to align outcomes, resourcing, and decision rights.


* Lead the end-to-end Acceleration Program lifecycle from intake through production rollout (including structured validat...