Technical Project Manager - Finance

Posted Yesterday
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Santa Clara, CA, USA
In-Office
152K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead cross-functional finance AI and data projects: translate finance processes into technical solutions, manage stakeholders and requirements, track multiple projects to delivery, understand AI/ML and data architectures, and drive decisions while ensuring projects meet business and technical objectives.
Summary Generated by Built In

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. Come join the team and see how you can make a lasting impact on the world.

NVIDIA's Finance AI & Data Science team is seeking a Technical Project Manager with experience driving complex business-facing projects to completion, ensuring that the project is delivered on time and meets business & technical requirements. We value multifaceted candidates who can help us innovate in new and unexpected ways.

What you'll be doing:

  • Leverage a strong understanding of finance and business processes to connect technical solutions to meaningful business problems, proactively identifying gaps.

  • Build lasting connections and relationships across NVIDIA and with external partners. Work closely to manage project communications with different functions and at different levels (e.g., finance leadership, IT, product teams, vendors).

  • Track requirements and owners on multiple simultaneous projects, following up on critical action items to meet tight deadlines and raising observed problems when necessary.

  • Understand the high- and low-level technical architecture of projects with AI, machine learning, data engineering, automation, application, and security elements. Facilitate debate and drive decisions on appropriate solutions.

  • Engage with technology directly, understanding the latest in AI and data science and applying your knowledge to keep it fresh.

What we need to see:

  • BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, Finance, or similar related field.

  • 5+ years of experience using technology to solve business problems (e.g. data science, automation, BI, AI, etc.), including at least 3 years of technical project management.

  • Superb communication and organizational skills. The ability to understand and guide teams towards critical goals in an ambiguous and fast-paced environment.

Ways to stand out from the crowd:

  • Hands on experience with business-facing technical work. An intuitive understanding of project failure points that enables you to guide others around them.

  • Experience in corporate/strategic finance roles (e.g. FP&A, M&A, treasury) or adjacent areas.

  • PMP, PMI-ACP, or other relevant certifications.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 8, 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.

Skills Required

  • BS/MS or equivalent in Business Analytics, Data Science, Economics, Computer Science, Finance, or similar
  • 5+ years using technology to solve business problems (data science, automation, BI, AI, etc.)
  • At least 3 years of technical project management experience
  • Superb communication and organizational skills
  • Ability to understand and discuss high- and low-level technical architecture for AI, ML, data engineering, automation, applications, and security
  • Hands-on experience with business-facing technical work
  • Experience in corporate/strategic finance roles (e.g., FP&A, M&A, treasury)
  • PMP, PMI-ACP, or other relevant certifications

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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