Principal Technical Program Manager - Graphite Payments

JPMorgan Chase & Co.•Palo Alto, CA

4h•$194,750 - $285,000

About The Position

Drive meaningful change across a dynamic, global organization where your leadership shapes how large-scale work gets delivered. You will partner with senior stakeholders to envision complex programs, align priorities, and mobilize teams to deliver outcomes with lasting impact. You will help teams operate with clarity, discipline, and momentum while strengthening a collaborative culture that develops and retains top talent. As a Principal Technical Program Manager within Commercial and Investment Bank Payments Technology team, you will lead end-to-end programs that span multiple business areas and regions. You will translate strategic goals into executable roadmaps, improve operating rhythms, and ensure delivery teams have the structure and support needed to deliver high-quality results. You will work across the program lifecycle, from discovery and requirements through implementation, change management, and continuous improvement.

Requirements

10+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations
Proven experience leading complex, cross-functional initiatives across multiple stakeholder groups and geographies
Demonstrated ability to build and lead high-performing teams, including coaching, talent development, and organizational leadership
Strong knowledge of financial controls, budgeting, risk management, and operational discipline
Advanced analytical and structured problem-solving skills, including the ability to translate ambiguity into clear requirements and plans
Strong communication and facilitation skills, including leading workshops and influencing senior stakeholders through clear, concise storytelling
End-to-end delivery experience, including scoping, implementation planning, change management, and agile ways of working
Strong organizational and prioritization skills, with the ability to manage multiple workstreams and tight deadlines in a fast-paced environment
Demonstrated experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for architecture and delivery workflows, including validation habits and awareness of data sensitivity
Ability to evaluate AI-assisted recommendations before adoption and set review/approval expectations that align to resiliency, security, and auditability outcomes
Bachelor’s degree

Nice To Haves

Master’s degree or equivalent advanced training in a relevant field
Project or program management certification (for example, Project Management Professional certification or PRINCE2 certification)
Experience leading large-scale transformation in financial services, operations, or technology organizations
Experience establishing program governance models and building key performance indicators to track outcomes and value delivery
Experience improving processes through lean, continuous improvement, or similar methodologies

Responsibilities

Lead cross-functional programs from definition through delivery, including scope, business case development, planning, execution, and change management
Partner with Business, Operations, Finance, and Technology stakeholders to elicit, document, prioritize, and validate requirements
Facilitate workshops to define processes, use cases, scenarios, workflows, and operating model improvements
Design and improve processes and supporting business applications to increase efficiency, control, and transparency
Develop and maintain program governance, including status reporting, scorecards, metrics, risks, issues, dependencies, and decision logs
Guide teams in data collection, analysis, and synthesis to produce evidence-based recommendations and improve program reporting
Create clear materials for executive communications, steering forums, and stakeholder updates
Build an inclusive, high-performance culture by coaching leaders, developing talent, and fostering strong collaboration across teams
Proactively identify delivery risks and constraints, propose mitigations, and drive timely decisions to keep programs on track
Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning, dependency/risk synthesis, and executive-ready reporting, validating outputs and handling data according to sensitivity requirements
Promotes reuse-first, AI-assisted practices for program governance and continuous improvement routines, ensuring human review and alignment to delivery standards