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Senior Program Manager, Architecture Review Board

NVIDIA· Program Mgr, Technical
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Singaporefull-timePosted 4mo ago

About the role

APAC role leading the AI Factory Architecture Review Board process to turn complex customer infrastructure designs into validated, deployment-ready solutions for NVIDIA.

Responsibilities

  • Own and lead the APAC AI Factory ARB process end to end, from initial intake through operations and pre-deployment handoff.
  • Lead architecture governance, assessments of deployment preparedness, and the validation and sign-off activities for complex AI Factory deployments.
  • Coordinate account teams, solution architects, NVIDIA infrastructure specialists, engineering, networking, storage, security, facilities, operations, OEM partners, and NVIDIA Cloud Partner teams.
  • Manage ARB schedules, agendas, decision logs, action owners, risk tracking, blocking issues, and executive reporting.
  • Set and maintain deployment gates, design checkpoints, exception handling, and sign-off processes aligned to NVIDIA Reference Architectures, Reference Designs, and deployment standards.
  • Review ARB submissions, classify requests by review path, prepare teams for timely decisions, and maintain clear documentation in shared workspaces.
  • Coordinate remediation and exception paths for designs that do not meet Reference Architecture or Reference Design criteria, including approval tracking and follow-through on blocking issues.
  • Improve ARB templates, tools, documentation, reporting, automation, and AI-assisted workflow agents; partner with global teams to scale ARB governance across regions and partners.

Qualifications

  • Bachelor's degree in engineering, computer science, business, operations, or a related field, or equivalent experience.
  • 5+ years of program or project management experience in large-scale infrastructure, cloud, networking, data center, hardware, or AI Factory deployment environments.
  • Experience coordinating architecture reviews, governance boards, technical approval processes, or deployment readiness reviews.
  • Working understanding of AI infrastructure, GPU clusters, networking, storage, data center operations, deployment readiness, and technical validation processes.
  • Experience using Jira or similar tools for agile execution, risk management, dependency tracking, and deployment lifecycle management.
  • Ability to lead multi-functional programs across technical, commercial, operations, and partner teams through clear ownership and follow-through.
  • Clear written and verbal communication skills, including experience preparing executive updates and translating technical risks into business impact.

Skills

Required:Program or project managementArchitecture governanceJiraExecutive communication

Benefits

  • Not specified in the description.
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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