Leads backend software engineering across teams and departments, delivering complex technical solutions and governing AI-enabled engineering and SDLC automation. Sets technology direction, ensures security, resiliency, quality, and responsible AI controls, manages resources and budgets, and influences senior stakeholders. Builds cross-functional teams, develops talent, drives cloud-native engineering practices, and delivers reusable solutions in a financial services environment.
If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.
As a Director of Software Engineering at JPMorganChase within the Consumer & Community Banking , you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.
Job responsibilities
- Single threaded owner for delivering end-to-end impactful technical solutions collaborating with the product, business partners and other Engineering teams.
- Leads technology and process implementations to achieve functional technology objectives
- 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.
- 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 reusable technical solutions that can be leveraged across multiple businesses and domains
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
- Champions the firm’s culture of diversity, opportunity, inclusion, and respect
- Champions every day innovation
Required qualifications, capabilities, and skills
-
Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Leadership Experience in Financial domain with strong Engineering and Data expertise
- Experience in championing AI led engineering and delivering significant productivity gains
- 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.
- Experience developing and leading cross-functional teams of technologists
- Experience with hiring, developing, and recognizing talent
- Practical cloud native experience
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
- A continuous learner and demonstrate ability to adapt and lead a change.
Preferred qualifications, capabilities, and skills
- Experience in Wealth Management Sub-Domain
- Experience in working with Lead Management.
- Experience working at Architecture and Design Level
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