Lead Technical Program Manager

JPMorganChase•Jersey City, NJ

12d

About The Position

As a Vice President in JPMorgan Chase’s Corporate Technology, Employee Platforms Delivery and Execution organization, the Lead Technical Program Manager provides strategic leadership across a portfolio of complex, enterprise-scale technology initiatives. The role sets direction, establishes governance and delivery discipline, and partners with senior stakeholders across engineering, architecture, product, and business leadership to achieve outcomes. It applies technical fluency, modern delivery practices, and data-driven insights to support iterative execution at scale, operational excellence, and resilient, secure solutions aligned with firm priorities. The position owns the strategy and execution of large, multi-year programs, establishing execution plans, milestones, dependencies, investment priorities, governance, operating models, and measurable outcomes. It coordinates cross-functional teams and vendors, manages risks and delivery health, and provides executive-level reporting. The role also champions responsible use of AI, automation, and agentic capabilities to improve program delivery and operational efficiency, evaluating use cases and scaling approaches that demonstrate value.

Requirements

At least 5 years of experience, or equivalent expertise, in technology program management demonstrating delivery at scale.
Demonstrated ability to independently lead complex programs end-to-end, from strategy and mobilization through execution and adoption.
Proven success leading large-scale programs spanning multiple teams, technologies, organizations, and stakeholders.
Strong executive presence and communication skills, including the ability to translate complex technical and delivery topics into concise narratives, decisions, risks, and recommendations.
Strong technical fluency across modern enterprise technologies, systems, platforms, and digital tools to partner effectively with engineering and architecture organizations.
Deep expertise in program governance, risk management, dependency management, delivery health, mitigation, escalation, and contingency planning.
Strong strategic and analytical capabilities, including experience establishing data-driven delivery metrics, KPIs, dashboards, and management information.
AI fluency and intellectual curiosity, with the ability to identify and evaluate AI, automation, and agentic capabilities for improving program execution, operational efficiency, and stakeholder transparency.
Ability to identify high-value AI and agent-assisted use cases, define measurable outcomes, and partner with technical and control teams to assess feasibility, integration considerations, governance, risk, and operating impacts.

Nice To Haves

Experience leading firmwide or enterprise-scale technology initiatives across multiple organizations, platforms, or lines of business.
Experience working in a large, complex, highly regulated technology environment.
Advanced executive communication and storytelling skills for explaining strategy, program health, technical complexity, risks, trade-offs, and decisions.
Strong senior stakeholder management, influence, negotiation, and conflict-resolution capabilities.
Experience establishing or improving program management operating models, governance standards, portfolio management practices, and reusable execution frameworks.
Experience using data visualization, automation, AI, or emerging technologies to improve program and portfolio management.
Bachelor’s degree in Business, Engineering, Information Technology, Computer Science, or a related field; a master’s degree and/or relevant professional certifications such as PMP or Agile are preferred.

Responsibilities

Own strategy and execution for large-scale, multi-year technology programs, translating strategic objectives into execution plans, milestones, dependencies, investment priorities, and measurable outcomes.
Independently establish program structure, governance, operating models, and execution strategies for broad objectives and complex problems.
Establish program governance and operating cadence, including OKRs/KPIs, executive steering, financial tracking, risk and dependency management, decision forums, and delivery transparency.
Develop integrated program plans across internal teams and vendors, covering technical requirements, sequencing, resourcing, milestones, and dependencies.
Drive execution and accountability across teams and workstreams; identify delivery gaps, resolve cross-organizational dependencies, and ensure commitments produce measurable outcomes.
Partner with engineering, architecture, product, cyber, infrastructure, operations, and business leaders to define scope, technical strategy, value, success measures, and delivery approach.
Manage program risks, controls, dependencies, and delivery health; establish mitigation and contingency plans and drive escalation and decision-making.
Influence senior stakeholders across organizational boundaries, navigate competing priorities, challenge constructively, and build alignment.
Provide executive-level reporting and insights using data, metrics, visualization, and concise narratives to communicate health, progress, risks, trade-offs, decisions, and recommendations.
Champion AI fluency, automation, and responsible adoption of agentic capabilities to improve delivery, portfolio insights, risk identification, reporting, stakeholder communications, and operational efficiency.
Drive experimentation and continuous learning with engineering, architecture, product, and control stakeholders; evaluate emerging AI and agentic capabilities, establish measurable use cases, and scale approaches that demonstrate value.