As the Director of Software Engineering at JPMorgan Chase within the Corporate Technology function, you will lead a technical area and promote impact across teams, technologies, and projects within various departments. You will leverage your extensive expertise in software, applications, technical processes, and product management to oversee multiple complex projects and initiatives. In this role, you will serve as the primary decision maker for your teams, fostering innovation and ensuring the successful delivery of solutions.
Job responsibilities
- Leads technology and process implementations to achieve functional technology objectives
- Drives the technical vision and transformation roadmap for the application, balancing near term delivery with long term strategy
- Identifies and evaluates AI -powered capabilities that improve user experience and/or development velocity
- Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
- Delivers technical solutions that can be leveraged across multiple businesses and domains
- Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, 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 and support capacity unlock initiatives at scale.
- Managing mid size technology teams, providing coaching, career development, mentorship
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
- Champions the firm’s culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Managing a team in a matrixed environment
- Experience in being the technical lead for a user facing application or suite of user facing products.
- Experience in application development; including partnering with product/stakeholders regarding application design and architecture.
- Experience leveraging AI tools in software development as well as identifying AI-Driven product opportunities
- Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
- Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
- Demonstrated ability to define and communicate a multi-year technical strategy to both engineering and non-technical audiences
- Demonstrated ability to develop deep business domain knowledge and translate requirements into technical solutions
- Experience developing or leading cross-functional teams of technologists
- Experience in speaking directly to business stakeholders to discuss requirements and project updates.
- Experience leading a product as a Product Owner, Product Manager or Senior Development Lead
- Full stack Java expertise
Preferred qualifications, capabilities, and skills
- Experience working at code level