Senior Staff Business Systems Analyst

Posted Yesterday
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Santa Clara, CA, USA
In-Office
144K-270K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads enterprise business systems and digital transformation initiatives from discovery through adoption. Partners with business, IT, architecture, engineering, and global leadership teams to define user-centered solutions, product vision, priorities, and measurable outcomes. Applies analytics, user feedback, storytelling, and systems thinking to optimize enterprise applications and employee experiences. Facilitates trade-offs, builds consensus, mentors junior analysts, and drives continuous improvement across complex cross-functional programs.
Summary Generated by Built In

Are you ready to be part of an ambitious team driving digital transformation at NVIDIA? As a Sr. Staff Business Systems Analyst, you will play a pivotal role in crafting intuitive, high-impact experiences that support our core business functions. This outstanding opportunity offers the chance to collaborate with global partners and influence decisions that determine our competitive edge!

What you’ll be doing:

  • Design and scale AI-powered workflows, agentic experiences, and internal products that simplify work, surface relevant context, and enable employees to complete tasks more effectively across enterprise tools.

  • Drive internal go-to-market and adoption strategies for digital and AI capabilities, including persona-based value propositions, enablement, communications, feedback loops, and outcome measurement.

  • Apply a product mindset to develop intuitive, simple, and high-impact experiences, starting with the user problem and connecting solutions to meaningful business outcomes.

  • Collaborate with global partners, architects, engineers, and business leaders to define product vision, prioritize capabilities, and develop world-class systems that support NVIDIA’s core business functions.

  • Use data, user feedback, and qualitative insights to identify opportunities and make informed decisions, leveraging strong storytelling skills to build alignment and influence priorities.

  • Build trusted relationships with collaborators at all levels; facilitate productive discussions, navigate ambiguity, and negotiate trade-offs across user needs, technical constraints, timelines, and business value.

  • Champion employee experience and user-centric development by continuously gathering feedback and measuring adoption, usability, satisfaction, and business impact to evolve solutions after launch.

What we need to see:

  • Bachelor’s degree in Computer Science, Information Systems, Business Administration, or an equivalent experience.

  • 7+ years of experience in business systems analysis, product management, enterprise technology, or a related field, with a proven track record of delivering large-scale enterprise applications and transformation initiatives.

  • Outstanding analytical and systems thinking skills, with the capacity to synthesize complex information, recognize patterns and root causes, define ambiguous problems, and convert insights into practical recommendations.

  • A strong product approach, with demonstrated ability to understand users, define problems before solutions, prioritize based on value, and continuously improve experiences using feedback and data.

  • Passion for user and employee experience, with the ability to support simple, intuitive experiences while balancing business requirements and technical realities.

  • Excellent storytelling and executive communication skills, with the ability to convert complex data, user insights, and technical concepts into persuasive narratives that encourage alignment and motivate action.

  • Demonstrated strength in engaging and influencing collaborators, including experience facilitating conversations with global teams, senior leaders, technical partners, and diverse business functions.

  • Excellent judgment and ability to navigate competing priorities, negotiate trade-offs, manage ambiguity, and build consensus without relying solely on authority.

  • Technical proficiency in AI-powered enterprise solutions, advanced analytics platforms, enterprise application integration, and modern digital workplace technologies.

  • Ambitious, curious, and self-motivated, capable of succeeding in a quick-moving, strongly collaborative atmosphere and reliably achieving high-quality outcomes.

Join our team and help us achieve flawless execution in digital transformation initiatives!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD for Level 4, and 168,000 USD - 270,250 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 28, 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

  • Bachelor's degree in Computer Science, Information Systems, Business Administration, or equivalent experience
  • 7+ years of experience in business systems analysis, product management, enterprise technology, or a related field
  • Proven track record delivering large-scale enterprise applications and transformation initiatives
  • Outstanding analytical and systems thinking skills, including synthesizing complex information, identifying root causes, defining ambiguous problems, and developing practical recommendations
  • Strong product approach, including understanding users, defining problems before solutions, value-based prioritization, and continuous improvement using feedback and data
  • Ability to support simple, intuitive user and employee experiences while balancing business requirements and technical constraints
  • Excellent storytelling and executive communication skills for explaining complex data, user insights, and technical concepts
  • Experience engaging and influencing global teams, senior leaders, technical partners, and diverse business functions
  • Excellent judgment, trade-off negotiation, ambiguity management, and consensus-building abilities
  • Technical proficiency in AI-powered enterprise solutions, advanced analytics platforms, enterprise application integration, and modern digital workplace technologies
  • Ambitious, curious, self-motivated, collaborative, and capable of achieving high-quality outcomes in a fast-moving environment

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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