Director of Software Engineering

JPMorgan Chase & Co.•Columbus, OH

About The Position

As a Director of Software Engineering at JPMorganChase within Consumer and Community Banking - Global Customer Platform, you lead a technical area and drive impact across teams, technologies, projects, and departments. You use in-depth knowledge of software, applications, technical processes, and product management to lead complex projects and initiatives, make primary decisions for your teams, and drive innovation and solution delivery. The role sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, establishing controls and guardrails for validation, security, resiliency, traceability, and reuse. It carries accountability for technology and process implementations, team resources and budgets, coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations. The role delivers technical solutions that can be leveraged across businesses and domains and influences senior stakeholders across business, product, and technology teams.

Requirements

  • Formal training or certification in software engineering concepts and at least 10 years of applied experience.
  • At least 5 years of experience leading technologists to manage, anticipate, and solve complex technical items within the relevant domain.
  • 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 in the work environment, including human-in-the-loop validation, quality gates, outcome measurement, and secure handling of sensitive inputs and outputs.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency and security implications, and governance.
  • Ability to influence leaders on safe scaling patterns and reuse.
  • Practical cloud-native experience.
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Nice To Haves

  • Experience working at code level.

Responsibilities

  • Lead technology and process implementations to achieve functional technology objectives.
  • Make decisions influencing teams’ resources, budgets, tactical operations, and execution and implementation of processes and procedures.
  • Set direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, driving measurable improvements in speed, quality, and operational outcomes.
  • Establish guardrails for validation, security, resiliency, traceability, and reuse across teams.
  • Apply software development life cycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase automation value and support capacity unlock initiatives at scale.
  • Provide governance accountability for coding decisions, control obligations, and success measures including cost of ownership, maintainability, and portfolio operations.
  • Deliver technical solutions that can be leveraged across multiple businesses and domains.
  • Influence peer leaders and senior stakeholders across business, product, and technology teams.
  • Lead adoption of agentic AI-enabled engineering practices across teams, defining operating expectations, measuring outcomes, and ensuring secure handling of sensitive inputs and outputs.
  • Hire, develop, and recognize talent.

Benefits

  • Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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