Senior Data Platform and Analytics Product Manager - DGX Cloud at NVIDIA

Department: Product Management

Compensation

$208,000 – $327,750/yr

Setup: Remote
Location: California
Type: Full-time
Level: senior
Posted: Sep 29, 2026

Description

NVIDIA is hiring a Senior Product Manager to define and own the DGX Cloud Data Platform and Analytics System, a governed data platform that aggregates fleet and machine data across DGX Cloud into authoritative, joinable data products. The role owns the platform roadmap, data-product requirements, versioned data contracts, identifier and schema standardization, security and compliance models, delivery prioritization, quality and freshness metrics, and expansion to NVIDIA Cloud Partners and cloud service providers. The position requires 12+ years of technology experience, a technical degree or equivalent experience, and expertise in data architecture, data governance, SQL, and cross-team standardization. The role is hybrid and offers a base salary of 208,000 USD to 327,750 USD, equity, and benefits.

Required Skills

Data platform
Data architecture
Data governance
SQL
Data contracts
Schema standardization
Access control

Additional Information

Minimum Education: Bachelor's or master's degree in engineering, computer science, or another technical field, or equivalent experience
Required Previous Experiences: 12+ years of total technology experience
Product management or engineering experience in data platforms, cloud infrastructure, or AI/ML
Experience defining data platform, data infrastructure, or analytics products through multiple delivery phases
Background in data architecture, data contracts, schema and lineage management, data catalogues, and SQL
Knowledge of data governance and access control concepts
Experience driving standardization and adoption across teams
Ability to lead discussions, coordinate diverse collaborators, and act as a trusted advisor
Preferred Qualifications: Experience building single-source-of-truth entity models, CMDB, or inventory systems
Familiarity with bi-temporal or append-only data modeling and point-in-time historical reconstruction
Experience delivering data products for AI agents and human analysts
Background in large-scale GPU, HPC, data center fleet operations, observability, resource planning, or infrastructure security
Experience productizing an internal platform for external partners
Translation Company Name: NVIDIA