Senior Staff Business Systems Analyst

NVIDIA•Santa Clara, CA

7d•$144,000 - $270,250

About The Position

The Senior Staff Business Systems Analyst will help drive digital transformation at NVIDIA by crafting intuitive, high-impact experiences that support core business functions. The role focuses on designing AI-powered workflows, agentic experiences, and internal products that simplify work and help employees complete tasks across enterprise tools. It also drives internal go-to-market and adoption strategies for digital and AI capabilities, using a product mindset to connect user needs with meaningful business outcomes. The analyst collaborates with global partners, architects, engineers, and business leaders to define product vision, prioritize capabilities, and develop enterprise systems. The role uses data, user feedback, and qualitative insights to identify opportunities, influence priorities, and measure adoption, usability, satisfaction, and business impact. It requires building trusted relationships, facilitating discussions, navigating ambiguity, negotiating trade-offs, and continuously evolving solutions after launch.

Requirements

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 of delivering large-scale enterprise applications and transformation initiatives.
Outstanding analytical and systems-thinking skills, including synthesizing complex information, recognizing patterns and root causes, defining ambiguous problems, and converting insights into practical recommendations.
Demonstrated product approach: understanding users, defining problems before solutions, prioritizing by value, and improving experiences using feedback and data.
Ability to support simple, intuitive user and employee experiences while balancing business requirements and technical realities.
Excellent storytelling and executive communication skills, including communicating complex data, user insights, and technical concepts persuasively to encourage alignment and action.
Demonstrated ability to engage and influence collaborators, including 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, with the ability to succeed in a fast-moving, collaborative environment and reliably achieve high-quality outcomes.

Responsibilities

Design and scale AI-powered workflows, agentic experiences, and internal products that simplify work, surface relevant context, and help employees complete tasks across enterprise tools.
Drive go-to-market and adoption strategies for digital and AI capabilities, including persona-based value propositions, enablement, communications, feedback loops, and outcome measurement.
Develop intuitive, simple, high-impact experiences by starting with user problems and connecting solutions to business outcomes.
Collaborate with global partners, architects, engineers, and business leaders to define product vision, prioritize capabilities, and develop systems supporting NVIDIA’s core business functions.
Use data, user feedback, and qualitative insights to identify opportunities and make informed decisions; use storytelling to build alignment and influence priorities.
Build relationships with collaborators at all levels, facilitate discussions, navigate ambiguity, and negotiate trade-offs among user needs, technical constraints, timelines, and business value.
Gather feedback and measure adoption, usability, satisfaction, and business impact to improve solutions after launch.
Support digital transformation initiatives and high-quality execution.