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 Corporate Sector - Employee Platforms team, 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.
The Head of Platform and Software Engineering for Branch Technology owns the strategy and delivery for the software-defined platforms underpinning critical Retail Branch systems, most significantly the Software Defined Branch (SDB) platform, which serves as the control and management plane for the branch technology ecosystem at scale. Leading a small, senior engineering team, this leader will drive the continued evolution of SDB, build the next-generation Retail Event Management platform aligned to our NextGen Workspace strategy, and manage the near-term transition of several applications to business partners. Beyond delivery, central to this role is a commitment to AI-first engineering. This organization has moved past the question of whether to embed AI into the development lifecycle, that decision is made. The right candidate brings hands-on experience building AI-native systems and the leadership to make that the team's default way of working. AI is how a lean, senior team delivers at the scale this role demands.
Job responsibilities
- Leads technology and process implementations to achieve functional technology objectives
- Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
- 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.
- Drive the continued development of the Software Defined Branch platform.
- Build the next-generation Retail Event Management system.
- Operate with precision at enterprise scale.
- 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
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
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
- Experience developing or leading cross-functional teams of technologists
- Experience with hiring, developing, and recognizing talent
- 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 experience building and operating enterprise-scale platforms with high availability requirements
- Track record leading small, senior engineering teams in a high-ownership environment
- Hands-on experience with AI-native development - production systems with AI at the core, not as a feature
- Strong communication and alignment skills at the executive level
- Practical cloud native experience
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
- Experience in financial services or a comparably regulated environment
- Familiarity with Omnissa (VMware Workspace ONE) or large-scale UEM platforms
- Background spanning both platform engineering and application delivery
- Experience leading a major platform modernization or migration