Senior Director - Genai Data Strategy

Nvidia Corporation

United States
Base: 340,000 usd - 517,500 usd; bonus/equity: eli...
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Gen ai data strategy
Foundation model data
Data flywheel
** Nvidia is seeking a Senior Director of Gen AI Data Strategy to lead the development of a comprehensive data strategy for their advanced AI models. The role requires extensive experience in AI/ML, data operations, and people management, while offering a competitive salary and equity options. **

Job Summary

  • You will own the comprehensive data strategy that fuels our most sophisticated foundation models, moving beyond simple data fulfillment to become a visionary architect of our 'data flywheel'.
  • Partner with top research scientists and engineers to identify model failure modes and bridge performance gaps through strategic data acquisition, curation, and synthetic generation.
  • Establish data quality frameworks, including de-duplication, versioning, bias detection, and ethical filtering, and lead internal policies on data privacy, consent, and transparency.

Matching Summary

Match Score: 75

** Nvidia is seeking a Senior Director of Gen AI Data Strategy to lead the development of a comprehensive data strategy for their advanced AI models. The role requires extensive experience in AI/ML, data operations, and people management, while offering a competitive salary and equity options. **

Salary

Base: 340,000 USD - 517,500 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Gen AI data strategy
  • foundation model data
  • data flywheel
  • synthetic data generation
  • human-in-the-loop workflows
  • data quality frameworks

Nice-to-have

  • open data strategy
  • industry standardization
  • tooling proficiency

Key Requirements

  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related technical field (or equivalent experience)
  • 18+ years of experience in product management or data operations within AI/ML
  • 8+ years direct people management experience
  • Deep understanding of LLM/VLM architectures and alignment methods
  • Proven track record of managing large-scale data pipelines

Work Rights

Not specified

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