Business Systems Analyst - Strategic Portfolio Management

## Business Systems Analyst - Strategic Portfolio Management Apply:
US, CA, Santa Clara:
Full time:
Posted Today:
JR2025007

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, Dev Ops, 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…