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Principal Business System Analyst, Engineering Operations

NVIDIA· Analyst, Bus Systems
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Santa Clara, CA$196k - $310.5kfull-timePosted 4d ago

About the role

Principal Business System Analyst for Engineering Operations to scale planning, prioritization, and delivery of enterprise platforms and AI initiatives in Santa Clara; partners with engineering leaders to translate strategic priorities into execution plans and lead programs from planning through launch and adoption.

Responsibilities

  • Lead operational planning across engineering teams, aligning roadmaps, capacity, and commitments with business priorities.
  • Establish a consistent cadence for portfolio reviews, delivery tracking, risk management, and leadership updates.
  • Drive cross-functional execution, resolve dependencies, and ensure clear ownership of achievements and outcomes.
  • Improve intake and prioritization processes to make resource decisions and delivery tradeoffs clear.
  • Collaborate with engineering and product leaders to coordinate launch readiness, adoption, and ongoing improvements.
  • Define metrics that connect engineering delivery to platform reliability, employee efficiency, and business value.
  • Use automation and AI to improve operational workflows, reporting, and decision-making.
  • Bring structure to ambiguous initiatives and surface decisions that require leadership alignment.

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, Business, or a related field, or equivalent experience with 15+ years experience.
  • Significant experience leading engineering operations, technical programs, or complex enterprise technology portfolios.
  • A track record of improving planning and execution across multiple engineering teams.
  • Excellent judgment in prioritization, resource planning, dependency management, and navigating ambitious commitments.
  • Ability to influence senior collaborators, build alignment, and drive accountability across interpersonal boundaries.
  • Experience defining meaningful metrics and translating data into recommendations and decisions.
  • Clear communication, including concise executive reporting and recommendations on risks and tradeoffs.
  • Technical proficiency across enterprise platforms, software delivery, and AI-enabled experiences.

Skills

Required:operational planningportfolio managementstakeholder managementmetrics & data-driven decision making
Nice to have:automation / AI in operations

Benefits

  • equity
  • benefits (see NVIDIA benefits)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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