JPMorgan Chase
Lead Technical Program Manager - Enterprise Technology
$147K–$200K
Jersey City, NJ · Manager · Full-time · Posted Oct 8, 2026
- Experience
- 5+ years or equivalent expertise; significant experience in strategy execution, transformation, consulting, portfolio management, business management, vendor governance, or related disciplines.
About the job
Leads complex technology programs for Enterprise Technology’s Vendor Management team, aligning delivery, resources, risks, and governance with firm business goals.
What you'll do
- Develop and execute project plans, including technical requirements, resourcing, and timelines.
- Manage program risks and collaborate with engineering, product, and business stakeholders to deliver aligned outcomes.
- Use and promote enterprise-authorized AI for planning, risk synthesis, governance, and reporting, validating outputs and following data-sensitivity requirements.
What they ask for
- 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization.
- Experience using enterprise-authorized AI for program-management workflows, with validation habits and data-sensitivity awareness.
- Advanced stakeholder-management skills and a track record managing resources, budgets, and teams in an agile environment.
- Experience leading strategic initiatives and applying analytical reasoning, governance, and executive communication skills.
Nice to have
- Advanced degree and experience in consulting, strategy, transformation, business management, or portfolio management.
- Financial services or large-scale transformation experience; familiarity with vendor governance, sourcing, procurement, or tools such as Power BI, Tableau, Qlik Sense, and SharePoint.
Pay
$147,250.00-$200,000.00 USD base salary
Tools
Power BI, Tableau, Qlik Sense, SharePoint
AI focus
Uses enterprise-authorized AI to accelerate program planning, synthesize risks, and support governance and reporting, with human validation and attention to data sensitivity.
Model-written summary · the original posting is authoritative