Job description

As the Principal Technical Program Manager within the IT Strategy Planning & Delivery Org at NVIDIA, you will be responsible for advancing the strategic roadmap for our Enterprise AI initiatives. This role fits an ambitious person who enjoys working in a dynamic, fast-paced setting and is passionate about employing pioneering technology to make a strong impact. What you'll be doing: • Drive the strategic roadmap and implementation for Enterprise Software Platforms with critical business units. • Lead and manage the execution of multiple, concurrent, and complex programs and projects. • Collaborate with Engineering and cross-functional leadership to innovate and reimagine solutions in the Enterprise AI and Platform domains. • Define project scope, success criteria, budget, and resource requirements in partnership with key collaborators. • Proactively identify and lead cross-functional dependencies and risks across organizational boundaries. • Communicate project updates regularly to collaborators, focusing on scope, budget, and velocity to manage expectations. • Engage the project steering committee for critical decisions and mentorship. • Foster interaction and collaboration with cross-functional teams and leaders at all organizational levels. What we need to see: • Bachelor's degree in Computer Science or a related technical field (or equivalent experience). • A minimum of 15 years in IT, including more than 10 years proficiently directing complex technical programs in a fast-paced, evolving 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. • Solid experience in Data Analytics and visualization. • Ability to provide solutions efficiently and manage a fast-paced environment with changing 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. Ways to stand out from the crowd: • Demonstrated success in building and shipping AI products and platforms. • Proven ability to deliver AI solutions, preferably within the Supply Chain domain, to improve 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. • Ability to perform efficiently in a dynamic environment and adjust swiftly to changing priorities and demands. Join us at NVIDIA and be part of a team that's crafting the future of technology, with opportunities to innovate and collaborate on groundbreaking projects. Your expertise and leadership will help us continue to push the boundaries of what's possible, delivering world-class solutions with agility and speed. This is your chance to define a lasting impact on the world! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

Requirements

Must-haves

Drive the strategic roadmap and implementation for Enterprise Software Platforms with critical business units.
Lead and manage the execution of multiple, concurrent, and complex programs and projects.
Collaborate with Engineering and cross-functional leadership to innovate and reimagine solutions in the Enterprise AI and Platform domains.
Define project scope, success criteria, budget, and resource requirements in partnership with key collaborators.
Proactively identify and lead cross-functional dependencies and risks across organizational boundaries.
Communicate project updates regularly to collaborators, focusing on scope, budget, and velocity to manage expectations.
Engage the project steering committee for critical decisions and mentorship.
Foster interaction and collaboration with cross-functional teams and leaders at all organizational levels.
Bachelor's degree in Computer Science or a related technical field (or equivalent experience).
A minimum of 15 years in IT, including more than 10 years proficiently directing complex technical programs in a fast-paced, evolving 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.
Solid experience in Data Analytics and visualization.
Ability to provide solutions efficiently and manage a fast-paced environment with changing 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.
Demonstrated success in building and shipping AI products and platforms.
Proven ability to deliver AI solutions, preferably within the Supply Chain domain, to improve 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.
Ability to perform efficiently in a dynamic environment and adjust swiftly to changing priorities and demands.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 26, 2026.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aiagile

Platform: eightfold
Effort: medium