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 is hiring a Finance AI Enabling Specialist within the Finance Data Science and AI team. You will work alongside data scientists, data engineers, AI developers, finance, and other business partners integrating data science and AI into our business processes. We are looking for a flexible candidate who can guide finance through the complex, multi-faceted process of Databricks onboarding, AI-enabled business process automation, security, and agentic integration.

What you’ll be doing:

• Guide finance teams to help them identify and deploy the right combination of AI tools based on their unique business needs. Assist them in implementation of AI agents, machine learning, retrieval augmented generation, Cursor / Claude, and Databricks tools (AI-assisted programmatic automation, Genie, Agent Bricks, etc.).

• Collaborate with finance to understand data requirements and securely onboard their data into Finance’s Databricks instance via data engineering and partnership with data owners, including IT and external vendors. Understand, validate, and ingest both tabular and non-tabular data – then build AI tools and skills to let domain experts interact with it.

• Project management of technically and organizationally complex finance data and automation problems. Bridge the gap from today’s existing process to the speed of light in a way that allows for experimentation and learning while scaling enterprise AI solutions with our growing business.

• Teach and train finance employees with varied technical skills to use a modern data platform by helping them reach their preferred levels of self-sufficiency and identifying gaps to success.

What we need to see:

• 5+ years of professional experience in data engineering, data science, automation, or other related disciplines using data to drive business outcomes.

• BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, or other technical fields.

• Deep technical skills, including SQL, Python, & Databricks (or similar).

• Superb communication skills, with the ability to document and present current status and final projects to technical and business partners.

Ways to stand out from the crowd:

• Operations finance or other applied, business-focused data experience, especially at a larger company or in the semi / tech industry.

• A history of creative data-driven business solutions.

• An interest in experimenting with new technologies and applying them to problems in novel ways.

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 February 21, 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 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.