JPMorgan Chase
Product Delivery Lead/Manager, Vice President
Wilmington, DE · Director · Full-time · Posted Jul 21, 2026
- Experience
- 5+ years of experience or equivalent expertise; also lists 8+ years of broad product management and delivery.
About the job
Leads end-to-end delivery of card platform products and enhancements, coordinating teams, governance, readiness, adoption, and continuous improvement.
What you'll do
- Own delivery from intake through release, stabilization, and performance reporting; manage plans, risks, dependencies, and stakeholder communications.
- Coordinate solution planning, development, testing, UAT, cutover, change governance, operational readiness, and adoption with technology and business partners.
- Coach delivery team members and improve intake, forecasting, controls, workflows, and approved AI-assisted delivery activities.
What they ask for
- 5+ years of experience or equivalent expertise in product delivery or a relevant domain area; the posting also specifies 8+ years of broad product management and delivery.
- Experience with operational management, change readiness, product/platform release management, and deployment processes and strategies.
- Track record delivering challenging initiatives, continuous improvement, forecasting and KPI improvements, and work using agile tools such as JIRA and Confluence.
- Leadership and stakeholder skills, including coaching/performance management, senior-leader communication, and experience with HR/workforce planning.
Nice to have
- Experience supporting product and technology portfolios in regulated financial services, with awareness of controls.
- Experience improving operating rhythms and execution predictability; proficiency with the listed collaboration and documentation tools and responsible use of approved AI tools.
Tools
JIRA, Confluence, Atlassian Confluence, Microsoft Teams, Microsoft Outlook, PowerPoint, Word
AI focus
Use firm-approved AI tools to accelerate intake triage, requirements synthesis, release notes, status reporting, and meeting outputs; validate AI-assisted artifacts with accountable stakeholders, meet risk and control requirements, and publish to sources of record only after human review.
Model-written summary · the original posting is authoritative