Senior Data & AI Programs Lead | Compliance & Velocity

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Job summary

NVIDIA Gruppe in Santa Clara, CA is seeking a Senior TPM/Data Program Leader to oversee data programs from acquisition to release, translating ML research needs into actionable sourcing plans.

You will collaborate with engineering, legal, and operations, define data quality metrics, and drive cross-functional alignment for datasets, licensing, and compliance.

The role includes leading annotation campaigns, tracking data velocity, and presenting risks and milestones to senior leadership.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience), plus 8+ years of proven experience in data, software development, or TPM roles within the tech industry.
• Agile Problem Solving: Validated ability to manage ambiguous, multi-stakeholder programs where requirements evolve weekly.
• Stakeholder Leadership: Strong interpersonal skills with a track record of influencing teams and partnering with ML researchers to turn model needs into actionable data requirements.

Responsibilities

• Lead end-to-end data programs from acquisition through release, translating ML research requirements into sourcing plans and drive cross-functional alignment between engineering, legal, and operations to meet program milestones.
• Define data quality metrics and data inventory/ lineage; ensure licensing and compliance with Legal.
• Lead annotation campaigns, set quality rubrics, track roadmaps and Data Velocity, and manage risks for leadership reviews.

Skills

data programs

stakeholder leadership

agile problem solving

Education

Bachelor’s degree in CS/Engineering

Job description

NVIDIA Gruppe in Santa Clara, CA is seeking a Senior TPM/Data Program Leader to oversee data programs from acquisition to release, translating ML research needs into actionable sourcing plans.

You will collaborate with engineering, legal, and operations, define data quality metrics, and drive cross-functional alignment for datasets, licensing, and compliance.

The role includes leading annotation campaigns, tracking data velocity, and presenting risks and milestones to senior leadership.