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# Director of Software Engineering - Content and Experimentation (Digital)

- **Company:** JPMorgan Chase & Co.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Computing Platforms, Automation of Tests, Computer Engineering, Software Engineering, Management of Software Versions, Cloud Platform System, Event Driven Architecture, Information Technology, Api Design
- **Published:** October 19, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3006565947-2

## About the Role

* 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
 * Practical cloud native experience
 * Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
 * Hands-on leadership experience designing and operating content delivery and experimentation capabilities (e.g., feature flags, A/B testing frameworks, rollouts, targeting/personalization) in a multi-team environment
 * Strong AWS knowledge for building and running scalable platforms (e.g., networking, compute, storage, security, observability, resiliency patterns, and cost management)
 * Experience defining platform operating models (intake, prioritization, self-service enablement, reliability targets, runbooks, and on-call practices) for product-facing engineering platforms
 * Strong understanding of API-first and event-driven architectures to integrate content and experimentation services with downstream channels and product applications

Preferred qualifications, capabilities, and skills

 * Participate in and lead opportunities with third parties, working to understand why and how we may integrate and leverage their capabilities
 * Experience hiring top talent, growing careers, and coaching individuals and managers to higher performance
 * Experience operating software platforms
 * Strong understanding of AWS services and infrastructure
 * Experience with content management platforms (CMS) and content lifecycle concerns (authoring, workflow, governance, localization, versioning, and publishing) to support enterprise-scale content operations

## Description

If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you., * 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
 * 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
 * Owns the engineering strategy and execution for a Content and Experimentation platform, enabling scalable content delivery, targeting, personalization, and rapid iteration via experimentation
 * Partners with Product, Design, Data/Analytics, and Marketing stakeholders to define platform roadmaps, SLAs/SLOs, and measurable outcomes (e.g., experimentation velocity, conversion impact, platform reliability)
 * Establishes platform governance for experimentation (guardrails, statistical rigor, auditability, and policy-aligned controls), including standard patterns for feature flags, A/B/n testing, and rollout strategies
 * Drives cloud-native delivery on AWS for the platform (e.g., reliability, performance, cost optimization, observability, incident response), with strong focus on secure-by-design and reusable platform capabilities