Senior Staff Business System Analyst

Reposted 10 Days Ago
Santa Clara, CA
In-Office
140K-265K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Analyze business requirements for IT systems, lead projects using Atlassian tools, and improve user experience through innovative solutions.
Summary Generated by Built In

Join NVIDIA, an innovative company in computer graphics and AI, as we embark on an ambitious journey to redefine computing. As a Sr. Staff Business System Analyst, you will be an integral part of our dynamic team located in Santa Clara, CA. This role offers a ground breaking opportunity to contribute to world-class projects that push the boundaries of technology. You'll work with brand new systems and collaborate with exceptionally versatile professionals who are passionate about innovation and excellence.

What you'll be doing:

  • Analyzing and defining business requirements for IT systems to ensure seamless, high-impact implementation of solutions.

  • Collaborating with multi-functional teams and partners to identify technology strategies that align with business objectives, improve user experience, and achieve quantifiable outcomes.

  • Leading and handling IT and AI enabled projects spanning the Atlassian portfolio and beyond—ensuring delivery on time, within scope, and with clear success metrics.

  • Developing and maintaining detailed documentation on system design, configuration, integration, and AI adoption standard methodologies.

  • Bringing to bear analytics and metrics to track project performance, identify optimization opportunities, and drive continuous improvement in user happiness.

  • Offering expert guidance, mentorship, and customer-centric support to collaborators, ensuring positive project outcomes and improving adoption and engagement.

What We Need to See:

  • Bachelor’s degree or equivalent experience in Computer Science, Information Systems, or a related field.

  • At least 10 years of proven experience in business systems analysis, IT solution delivery, or Atlassian platform administration and optimization.

  • Proficiency in system design, configuration, and integration, with a track record of delivering scalable, user-centric solutions within the Atlassian portfolio and broader enterprise IT ecosystem.

  • Demonstrated leadership in driving complex, cross-functional projects—balancing strategic vision with timely, on-budget execution.

  • Demonstrating strong analytical and decision-making skills by using data and metrics to prioritize initiatives, mitigate risks, and ensure measurable business impact.

  • Excellent communication, collaborator management, and teamwork skills to influence and align diverse teams toward shared goals.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative and autonomous, we want to hear from you!

#LI-Hybrid

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 4, and 168,000 USD - 264,500 USD for Level 5.

    You will also be eligible for equity and benefits.

    Applications for this job will be accepted at least until November 24, 2025.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.

    Top Skills

    AI
    Atlassian Portfolio
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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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