Senior Program Manager, Architecture Review Board

NVIDIA Corporation; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

NVIDIA Corporation in Singapore seeks a seasoned program manager to own and lead the APAC AI Factory ARB process end to end, from intake through deployment and handoff.

You will coordinate architecture governance, deployment readiness, and executive reporting across global teams, requiring 5+ years in large-scale infrastructure or AI deployments and strong cross-functional leadership. Excellent communication and risk translation to business impact are essential.

Qualifications

• Bachelor's degree in engineering, computer science, business, operations, or a related field.
• 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.

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.

Skills

Program management

Cross-functional leadership

Executive communication

Risk management

Agile / Scrum

Jira experience

Vendor coordination

APAC coordination

Stakeholder management

Education

Bachelor's degree in engineering, computer science, business, operations

Tools

Jira

Wrike

Salesforce

Sheets

Copilot

Claude

Job description

For more than 25 years, NVIDIA has helped build visual computing, personal computer gaming, and high-performance computing. This tradition of innovation is powered by outstanding technology and remarkable people. Today, we are harnessing AI to build the next generation of computing. Our GPUs act as the intelligence behind computers, robots, and autonomous vehicles capable of perceiving the world. Work at this scale takes vision, innovation, and world-class talent. Being part of NVIDIA means joining an inclusive, encouraging atmosphere where people can do their best work. Join us and explore how you can make a meaningful difference in the world.

What you will be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• Experience with GPU-accelerated computing, AI infrastructure, HPC, DGX SuperPOD, OEM, NVIDIA Cloud Partner, or enterprise data center environments.
• Familiarity with NVIDIA Reference Architecture and Reference Design compliance, customer infrastructure validation, or pre-deployment handoff processes.
• Experience with Salesforce and Wrike for pipeline tracking, data quality, dashboards, reporting, or workflow automation.
• PMP, PgMP, Agile, Scrum, or equivalent program management certification or experience improving global governance processes.
• Use of reporting, analytics, automation, or AI tools such as Sheets, Copilot, Claude, Gemini, or Perplexity to improve program transparency and execution.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.