JPMorgan Chase
Executive Director - AI-enable Product Lead
$157K–$260K
Wilmington, DE +3 · Director · Full-time · Posted Nov 2, 2026
- Location
- Wilmington, DE
Columbus, OH
Plano, TX
Chicago, IL - Experience
- Preferred: 10+ years’ experience leading complex product teams.
- Education
- Bachelor’s/Master's degree preferably in technical field (Computer Science, Engineering, Mathematics, etc.).
About the job
Leads an Area Product Group delivering core banking platform capabilities, owning product strategy, roadmap, backlog prioritization, and end-to-end delivery across product and engineering teams.
What you'll do
- Own delivery and outcomes, translating business and stakeholder needs into platform requirements and scalable solutions.
- Manage the roadmap and backlog; advise on priorities, trade-offs, dependencies, and risks.
- Use AI-assisted methods for discovery and delivery, promote responsible AI use, and communicate progress and delivery forecasts.
What they ask for
- Experience leading complex platform or product groups in a regulated enterprise, accountable for delivery and stakeholder outcomes.
- Expertise in roadmap ownership, backlog prioritization, and Agile delivery across multiple teams and dependencies.
- Ability to translate business needs into implementable platform requirements and lead initiatives involving shared services, APIs, and reusable components.
- Strong stakeholder management, decision-making, alignment, and communication skills; familiarity with AI-enabled product practices.
Nice to have
- 10+ years’ experience leading complex product teams; technical bachelor’s/master’s degree, software engineering training, or certification.
- AWS certification, expertise leading Technical Delivery teams, enterprise microservices/cloud-native experience, or Core Banking domain knowledge.
Pay
USD $156,750.00-$260,000.00 base salary
Tools
Scrum, Kanban, APIs, AWS, Kubernetes
AI focus
Uses AI-assisted approaches for requirement exploration, impact analysis, backlog refinement, discovery, documentation, backlog generation, and quality insights; promotes AI use that meets quality, security, and governance standards.
Model-written summary · the original posting is authoritative