Lead Technical Program Manager - Portfolio Manager

JPMorganChase•Palo Alto, CA

About The Position

As a Lead Technical Program Manager on JPMorganChase’s Enterprise Technology Infrastructure Platforms Foundational Services team, you will own end-to-end delivery of large-scale infrastructure and platform programs spanning engineering, operations, security, architecture, and product. You will translate strategic priorities into integrated plans, align teams, and drive disciplined execution in an enterprise environment. The work supports the firm’s technology resilience, platform modernization, and engineering velocity. The role includes program governance, dependency and risk management, technical decision support, and clear executive communication. It also promotes reuse-first, AI-assisted program practices, subject to human review, enterprise standards, and data-sensitivity requirements. Delivery takes place in regulated and high-control environments, with attention to risk, controls, change management, and incident learnings. Employment offers are contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries, under Section 19 of the Federal Deposit Insurance Act.

Requirements

Formal training or certification in technical program management concepts and at least 5 years of applied experience.
Experience in program or project delivery, including leading large, cross-functional technical programs end-to-end.
Demonstrated experience delivering infrastructure or platform programs in at least one domain: cloud foundations; Kubernetes and container platforms; network; compute or storage; CI/CD and developer platforms; identity and access management; or observability and site reliability engineering.
Deep technical fluency in distributed systems concepts, including availability, resiliency, scaling, latency, and inter-service dependencies, and the ability to read architecture diagrams and reason about failure modes.
Ability to build and manage integrated program plans, governance structures, and delivery operating models spanning multiple teams and workstreams.
Strong stakeholder-management skills, including executive communication, structured facilitation, and aligning teams around shared priorities and decisions.
Experience delivering in regulated or high-control environments, with working knowledge of change management, risk frameworks, and controls-conscious delivery practices.
Proficiency with Agile delivery tools and practices, including backlog management, sprint cadences, and cross-team coordination at scale.
Demonstrated experience using enterprise-authorized AI capabilities in the work environment to support program-management workflows, with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalate when uncertain, and follow data-handling expectations.

Nice To Haves

Familiarity with site reliability engineering practices, including service level objectives and indicators, error budgets, incident and problem management, and capacity planning.
Experience with cloud migration or platform modernization programs, including infrastructure-as-code and automated provisioning concepts.
Knowledge of security-by-design principles, identity and access patterns, vulnerability remediation workflows, and disaster recovery or failover testing.
Metrics-driven delivery experience using indicators such as availability, mean time to recovery, change failure rate, deployment frequency, and platform adoption to inform program decisions.
Hands-on experience configuring and optimizing Jira and Confluence environments, including workflows, automations, reporting dashboards, and cross-team ways-of-working standards.
Exposure to AI-enabled program automation techniques, such as automated standup summaries, release note generation, or incident theme analysis, with measurable impact on delivery quality or efficiency.

Responsibilities

Lead end-to-end delivery of large, cross-functional technical programs across engineering, operations, security, architecture, and product, aligning strategic intent with executable team backlogs.
Build and maintain integrated program plans, including workstreams, milestones, critical-path analysis, and RAID logs, and establish a consistent execution cadence across delivery teams.
Establish and run governance structures, including steering committees and working groups, to drive decisions, resolve blockers, and maintain delivery momentum.
Manage cross-team and vendor dependencies, identify risks, and coordinate mitigation strategies to protect program commitments.
Partner with engineers and architects to evaluate technical trade-offs, reason about failure modes, and use data to challenge assumptions and support delivery decisions.
Promote reuse-first, AI-assisted program governance and reporting, with human review and alignment to delivery standards.
Apply a strong risk and controls mindset, change-management discipline, and incident learnings to deliver in regulated and high-control environments.
Produce concise, executive-ready program updates and facilitate alignment across stakeholders and competing priorities.
Shape demand and planning processes that connect annual outcomes to well-defined, prioritized team backlogs ready for delivery.
Improve delivery operating models, incorporating Agile-at-scale practices and infrastructure delivery patterns such as release trains, migrations, and change windows.
Use enterprise-authorized AI capabilities for program planning and risk synthesis, validate outputs, and handle data according to sensitivity requirements.