Senior Project Delivery Manager - NVIS at NVIDIA | JP | Rezi

Senior Project Delivery Manager - NVIS at NVIDIA

Senior Project Delivery Manager - NVIS

NVIDIA · JP

3 weeks ago

Senior Project Delivery Manager - NVIS

NVIDIA · JP

a month ago
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About the Role

As a Senior Service Delivery Manager within NVIDIA Professional Services, you will lead end-to-end project delivery for enterprise data center environments, owning the full project lifecycle from strategic alignment and solution design through deployment, stabilization, and production handover.

Responsibilities

  • Build and maintain trusted, long-term working relationships with customers, internal stakeholders, and partner teams.
  • Understand high-level and detailed technical architectures, facilitate technical discussions, and drive decision-making for optimal solution design.
  • Ensure project requirements, deliverables, and documentation adhere to NVIDIA quality standards and are completed on schedule.
  • Develop, present, and defend comprehensive technical solutions and deployment plans to executive and technical customer audiences.
  • Lead regular syncs, governance calls, and status updates with global internal teams, customers, and third-party partners.
  • Own delivery of complex on-site or remote data center installations, escalate issues appropriately, and drive resolution with cross-functional partners.
  • Manage project change requests, release communications, and customer notifications in a clear and timely manner.
  • Create clear, concise technical and operational runbooks, procedures, and post-implementation documentation.
  • Demonstrate flexibility to support on-call, off-hours, or global time zone requirements as needed for critical deployments.

Requirements

  • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technical field (or equivalent professional experience).
  • 5+ years of progressive experience in project delivery management or customer service delivery leadership.
  • 5+ years of field service, customer implementation, or post-sales support experience for enterprise hardware & software platforms.
  • Deep working knowledge of data center infrastructure: servers, storage, networking, cabling, power, cooling, and physical deployment workflows.
  • Strong customer-facing interpersonal skills and ability to engage directly with C-level and technical stakeholders.
  • Proven leadership experience across cross-functional, global, and diverse teams.
  • Excellent verbal, written, and presentation communication skills with English language conversation and writing proficiency.
  • Strong organizational skills, ability to prioritize effectively, and manage multiple complex projects with minimal supervision.
  • Experience leading global projects across regions and time zones.

Skills

  • Project delivery management
  • Customer service delivery leadership
  • Field service
  • Customer implementation
  • Post-sales support
  • Enterprise hardware & software platforms
  • Data center infrastructure
  • Servers
  • Storage
  • Networking
  • Cabling
  • Power
  • Cooling
  • Physical deployment workflows
  • Customer-facing interpersonal skills
  • Leadership
  • Cross-functional team management
  • Global team management
  • Diverse team management
  • Verbal communication
  • Written communication
  • Presentation skills
  • Organizational skills
  • Prioritization
  • Project management
  • HPC clusters
  • InfiniBand
  • GPU infrastructure
  • Hyperscale data center technologies
  • AI infrastructure deployment
  • Professional services
  • Tech vendor post-sales delivery

Work Type

  • On-site
  • Remote

Experience Level

  • Senior
  • 5+ years

Education Level

  • Bachelor’s degree
  • Master’s degree

About the Company

  • NVIDIA Professional Services is seeking driven, customer-obsessed, and technically grounded leaders to help enterprises build next-generation digital infrastructures powered by cloud and accelerated computing.
  • The team is passionate about parallel computing, visual computing, and AI infrastructure, advancing how computing solves the world’s most sophisticated challenges in science, industry, and enterprise.