Principal Technical Program Manager, Enterprise AI

at Nvidia
USD 240,000-379,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Leadership @ 4 Technical Proficiency @ 6 Communication @ 4 SRE @ 4 Agile @ 4 GPU @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

As the Principal Technical Program Manager (TPM) lead within our global IT PMO team, you will drive the successful execution of various Enterprise AI programs and projects, including the implementation of new technology solutions across corporate IT. In this role, you will work closely with senior IT leaders and highly skilled technical teams to ensure global consistency and timely delivery in accordance with PMO processes. Your responsibilities will include challenging and clarifying program objectives, developing and maintaining comprehensive roadmaps, assessing program complexity and identifying potential risks, proactively removing roadblocks to accelerate progress, and inspecting and assessing the health of programs, providing corrective input, and raising issues for rapid resolution. Ultimately, you will be responsible for delivering high-quality solutions with agility and speed.

Responsibilities

  • Drive the strategic roadmap and execution for Enterprise AI partnering with critical business units.
  • Lead and manage the execution of multiple, concurrent, and complex programs and projects.
  • Partner with Engineering and multi-functional leadership to innovate and reimagine solutions in the Enterprise AI domain.
  • Define project scope, success criteria, budget, and resource requirements in partnership with key stakeholders.
  • Proactively identify and lead multi-functional dependencies and risks across organizational boundaries.
  • Communicate project updates regularly to stakeholders, focusing on scope, budget, and velocity to manage expectations.
  • Engage the project steering committee for critical decisions and guidance.
  • Foster interaction and collaboration with multi-functional teams and leaders at all organizational levels.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field (or equivalent experience).
  • A minimum of 15 years of total IT experience, including 10+ years successfully leading complex technical programs within a dynamic, fast-paced enterprise environment.
  • 3–5 years of specific program management experience in the AI and Enterprise Applications space.
  • Proven technical proficiency in AI concepts, including Generative AI, AI Agents, and AI Ops, as well as Enterprise products.
  • Expertise in Agile execution methodologies is essential.
  • Must possess solid experience in Data Analytics and visualization.
  • Ability to deliver solutions effectively and navigate a fast-paced environment with shifting priorities.
  • Excellent written and verbal communication/presentation skills, with the capability to articulate the connection between high-level strategic objectives and detailed project execution.
  • Adept at engaging with IT and business leadership to remove roadblocks and drive projects forward.
  • Willingness to collaborate with distributed, global team members across various time zones.

Ways to stand out

  • Demonstrated success in building and shipping AI products and platforms.
  • Demonstrable ability to deliver AI solutions, preferably within the Supply Chain domain, to enhance efficiency.
  • Experience in leading critically important production systems, using Site Reliability Engineering (SRE) practices to drive operational excellence.
  • Strong analytical skills to interpret complex data, derive actionable insights, and make data-driven decisions.
  • Adeptness at working effectively in a fast-paced environment and adapting quickly to evolving priorities and requirements.

Benefits

Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.