Business Systems Analyst - Strategic Portfolio Management

Posted 6 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
168K-270K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Owns enterprise work-management solutions from discovery through deployment and continuous improvement. Leads requirements gathering, prototyping, configuration, testing, adoption, governance, and platform reliability. Configures Jira or comparable platforms, workflows, integrations, dashboards, and permissions; applies automation, scripting, SQL, AI, data privacy, and responsible-AI practices. Partners with business and technical teams to resolve complex issues, support migrations and upgrades, and deliver measurable business outcomes.
Summary Generated by Built In

NVIDIA is seeking a Business Systems Analyst to join our Strategic Portfolio Management team and develop the enterprise systems that help teams plan, collaborate, and deliver. The team builds and modernizes work-management platforms that connect business priorities with execution across NVIDIA. This role sits at the intersection of business systems analysis, platform engineering, and responsible AI, using automation and data-driven insights to remove friction and improve decisions. Unlike a traditional analyst position, this role owns solutions from discovery and rapid prototyping through configuration, launch, adoption, measurement, and continuous improvement.

What you'll be doing:

  • Lead focused discovery workshops with business users, product owners, engineering teams, and platform partners to uncover workflow friction, clarify outcomes, and identify high-value opportunities for AI, automation, or process simplification.

  • Translate business needs and user feedback into clear functional, technical, and data requirements. Include measurable success criteria. Challenge feature requests that do not address the underlying need.

  • Own solutions from intake through production: evaluate feasibility, AI suitability, data readiness, dependencies, and risks; prototype promising concepts; and coordinate building, configuration, testing, deployment, documentation, and adoption.

  • Configure, coordinate, and optimize enterprise work-management platforms and connected capabilities, including projects, workflows, forms, fields, permissions, notifications, dashboards, reporting, integrations, scripts, and intelligent experiences.

  • Build scalable, secure, and maintainable solutions that balance user experience, business value, platform standards, data privacy, responsible-AI practices, and long-term operational health.

  • Partner across business and technology teams to run user acceptance testing, incorporate feedback, guide transitions and training, and confirm that delivered solutions produce measurable outcomes for NVIDIA.

  • Sustain platform reliability by fixing sophisticated issues, handling access and governance, supervising health, documenting processes, and supporting upgrades, migrations, and modernization initiatives.

What we need to see:

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

  • More than 12 years of pertinent experience in business systems analysis, enterprise application or platform engineering, software delivery, or a related area.

  • Hands-on experience coordinating and configuring Jira or a comparable enterprise work-management platform, including workflows, fields, forms, permissions, dashboards, reporting, and integrations.

  • Experience in automation or scripting with Python, Groovy, or a comparable language, along with practical knowledge of database concepts, data management, and SQL.

  • Proven ability leading discovery, gathering requirements, translating user needs into practical solution builds, and partnering optimally with both business and technical collaborators.

  • Practical experience assessing, prototyping, or deploying AI-enabled solutions such as generative AI, copilots, intelligent agents, or large language model integrations within enterprise workflows.

  • Strong analytical, consultative, communication, prioritization, and ownership skills, including the ability to diagnose sophisticated workflow, technical, data-quality, and AI-output issues and drive work to completion.

  • Familiarity with data privacy, security, responsible-AI, and enterprise-governance approaches, together with Agile, Scrum, Kanban, DevOps, or software development lifecycle techniques.

Ways to stand out from the crowd:

  • Deep experience with the Atlassian ecosystem, including Rovo, Jira, Focus, Talent, Confluence, Jira Align, or Atlassian Strategy Collection.

  • Experience planning or accomplishing migrations from Atlassian Server or Data Center to Atlassian Cloud.

  • Experience governing multiple enterprise Jira instances and establishing configuration standards, platform guardrails, or responsible-AI controls.

  • Experience with large language model APIs, agentic workflows, low-code or no-code AI platforms, enterprise knowledge integrations, and assessment of AI quality, reliability, performance, and adoption.

  • Background in software development, technology delivery, project or product management, process improvement, workflow development, or supporting organizational evolution.

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 14, 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 Information Systems, Computer Science, Engineering, Business, or a comparable field, or equivalent experience
  • More than 12 years of relevant experience in business systems analysis, enterprise application or platform engineering, software delivery, or a related area
  • Hands-on experience coordinating and configuring Jira or a comparable enterprise work-management platform, including workflows, fields, forms, permissions, dashboards, reporting, and integrations
  • Experience with automation or scripting using Python, Groovy, or a comparable language
  • Practical knowledge of database concepts, data management, and SQL
  • Experience leading discovery, gathering requirements, translating user needs into solution builds, and partnering with business and technical teams
  • Experience assessing, prototyping, or deploying AI-enabled solutions such as generative AI, copilots, intelligent agents, or large language model integrations
  • Strong analytical, consultative, communication, prioritization, and ownership skills
  • Ability to diagnose complex workflow, technical, data-quality, and AI-output issues and drive work to completion
  • Familiarity with data privacy, security, responsible AI, enterprise governance, and Agile, Scrum, Kanban, DevOps, or software development lifecycle practices
  • Deep experience with the Atlassian ecosystem, including Rovo, Jira, Focus, Talent, Confluence, Jira Align, or Atlassian Strategy Collection
  • Experience migrating from Atlassian Server or Data Center to Atlassian Cloud
  • Experience governing multiple enterprise Jira instances and establishing configuration standards, platform guardrails, or responsible-AI controls
  • Experience with large language model APIs, agentic workflows, low-code or no-code AI platforms, enterprise knowledge integrations, and AI quality assessment
  • Background in software development, technology delivery, project or product management, process improvement, workflow development, or organizational evolution

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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