Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 5, 2026 (UTC)