NVIDIA Corporation

Senior Director - GenAI Data Strategy

NVIDIA Corporation • $340K — $500K+*
Santa Clara, CA 95051In-Person
Information Technology
15+ years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
  • 18+ years in product management or data operations specifically in AI/ML technology.
  • 8+ years of direct people management experience.
  • Deep understanding of LLM/VLM architectures and alignment methods (e.g., RLHF, RLAIF).
  • Proven experience in managing large-scale data pipelines across various modalities.
  • Experience engaging directly with enterprise customers to inform data strategies.

Responsibilities

  • Define and evolve a comprehensive roadmap for multi-lingual data acquisition to train large AI models.
  • Interpret model failure modes and refine data collection logic in collaboration with research teams.
  • Manage an external ecosystem of data partners ensuring legal and ethical compliance of assets.
  • Lead strategies for high-quality human data collection including RLHF and SFT.
  • Orchestrate the synthetic data stream to enhance model fine-tuning and evaluation.
  • Collaborate with Solutions Architects and customers to align data priorities with real-world needs.
  • Establish quality frameworks addressing data bias, privacy, and transparency.

Benefits

  • Eligible for equity.
  • Comprehensive benefits package offered with the position.
Full Job Description
As the Senior Director -Gen AI Data Strategy, you will own the comprehensive data strategy that fuels our most sophisticated foundation models. Data is the architecture of intelligence, 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.

What You Will be doing:
  • Holistic Data Strategy & Roadmap: Define and evolve the end-to-end roadmap for multi-lingual data acquisition across various modalities (text, vision, audio, etc.) to train and evaluate large-scale AI models. Data sources include:Pre-training: Large scale knowledge-based data collection. Post-training: Planning and collecting for next generation agentic capabilities. Building a golden bench set for both academic and real world measurements.
  • The Data Flywheel & Failure Analysis: Collaborate with research teams to interpret model edge cases and failure modes. Use these insights to refine data collection logic, crafting a continuous loop where model output informs the next phase of data acquisition.
  • Strategic Data Acquisition: Manage an external ecosystem of data partners and vendors. Establish meticulous qualification and acceptance criteria, ensuring all licensed assets meet legal, ethical, and technical standards.
  • Human-in-the-Loop (HITL) & Alignment: Lead the strategy for high-quality human data collection, including RLHF (Reinforcement Learning from Human Feedback), SFT (Supervised Fine-Tuning), and complex "human-in-the-loop" workflows to ensure model safety and alignment.
  • Synthetic Data Innovation: Orchestrate the synthetic data stream used to bootstrap and amplify model fine-tuning and evaluation techniques, effectively bridging the gap between real-world scarcity and infinite scale.
  • Customer & Ecosystem Engagement: Partner with Solutions Architects and enterprise customers to translate real-world deployment gaps into data priorities. Contribute to NVIDIA's open data strategy, defining benchmarks for developer adoption and dataset release.
  • Quality & Governance Frameworks: Establish data quality frameworks, including de-duplication, versioning, bias detection, and ethical filtering. Lead internal policies on data privacy, consent, and transparency.


What We Need to See:
  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related technical field (or equivalent experience).
  • 18+ overall years of experience in product management or data operations specifically within the AI/ML sector at a technology company.
  • 8+ years direct people management experience
  • Frontier Model Knowledge: Deep understanding of LLM/VLM architectures, training regimes, and alignment methods like RLHF and RLAIF.
  • Data-Centric Attitude: A "Full Stack" data perspective, with a proven track record of managing large-scale data pipelines and dealing with diverse modalities.
  • Customer Empathy: Experience working directly with enterprise customers or SAs to identify product capability gaps and translating those into concrete data collection requirements.


Ways to Stand Out From the Crowd:
  • Open Data & Ecosystem Strategy: Experience releasing public datasets or driving data-as-a-resource initiatives that activate an external developer community.
  • Industry Standardization: Experience driving industry-wide standards for data formats and quality metrics.
  • Tooling Proficiency: Exposure to data management and labeling platforms (e.g., Scale.ai, Labelbox) and technical tools like Python, SQL, or Spark.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 340,000 USD - 517,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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