JPMorgan Chase
Principal Technical Program Manager - Graphite Payments
$195K–$285K
Palo Alto, CA +2 · Principal · Full-time · Posted Oct 30, 2026
- Location
- Palo Alto, CA
Tampa, FL
Jersey City, NJ - Experience
- 10+ years or equivalent expertise.
- Education
- Bachelor’s degree; Master’s degree or equivalent advanced training is preferred.
About the job
Leads end-to-end, cross-functional payments technology programs across business areas and regions, translating strategic goals into delivery roadmaps and improving governance and operations.
What you'll do
- Define and deliver programs, including scope, business cases, planning, execution, and change management.
- Coordinate stakeholders, requirements, workshops, governance, reporting, risks, and decisions.
- Coach teams and leaders, improve processes, and use authorized AI capabilities to support planning, risk synthesis, and reporting.
What they ask for
- 10+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations.
- Experience leading complex cross-functional initiatives across stakeholder groups and geographies, and building and leading high-performing teams.
- Knowledge of financial controls, budgeting, risk management, and operational discipline; strong analytical, communication, facilitation, and delivery skills.
- Experience leading safe use of enterprise-authorized AI capabilities, including validating outputs and managing data sensitivity; Bachelor’s degree.
Nice to have
- Master’s degree or equivalent advanced training in a relevant field; project or program management certification.
- Experience in large-scale transformation, program governance and KPIs, or lean and continuous improvement.
Pay
USD 194,750.00-$285,000.00 base salary (Palo Alto, CA); USD 194,750.00-$285,000.00 base salary (Jersey City, NJ)
AI focus
Uses enterprise-authorized AI for program planning, dependency and risk synthesis, executive reporting, and governance improvement, with human review, output validation, and attention to data sensitivity, resiliency, security, and auditability.
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