Senior Data Platform and Analytics Product Manager – DGX Cloud

NVIDIA

. Define requirements and acceptance criteria for the platform's flagship products: single-source-of-truth tables for clusters, associated components, customers, and workloads, along with relationship tables .

Posted 9/30/2026full-timeSanta Clara • California • United StatesSenior💰 $208,000 - $327,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in defining and managing data platforms, data architecture, and cloud infrastructure, with a strong focus on standardization, governance, and collaboration across teams. Proven ability to lead discussions and coordinate efforts to deliver data products that meet quality and performance standards.

Highest-signal resume keywords

Data Platform ManagementData ArchitectureData GovernanceCloud InfrastructureStandardization Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ContractsSchema ManagementSQLData CataloguesData ModelingData IngestionAnalytics Product DevelopmentSingle-Source-Of-Truth ModelsAI/ML Data ProductsHPC Operations

Soft Skills

CollaborationLeadershipTrusted Advisor

Tools & Technologies

MCPData Center Fleet OperationsObservability Tools

Industry Keywords

Cloud Service ProvidersData FreshnessData Quality SLOsAccess ControlRetention Policies

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Define requirements and acceptance criteria for the platform's flagship products: single-source-of-truth tables for clusters, associated components, customers, and workloads, along with relationship tables
Partner with source and collector teams across DGX Cloud to onboard data and define versioned data contracts covering schema, semantics, freshness, quality, and change notification
Drive identifier and schema standardization upstream with producing teams, recording, owning, and tracking each standardization decision to closure
Work with infrastructure security, compliance, and enterprise data teams to define the security model
Engage with engineering leadership to establish priorities and resource allocation, sequence delivery against firm external constraints, and gain prioritization consensus across collaborating teams
Define and report measures including standardization debt per source, pipeline freshness and quality SLOs, source onboarding throughput, and time to first answer for a new consumer
Define requirements and build the case for extending the platform to NVIDIA Cloud Partners and cloud service providers

Requirements

What you’ll need

12+ years of total experience in technology, with product management or engineering experience in data platforms, cloud infrastructure, or AI/ML
BS or MS in engineering, computer science, or another technical field (or equivalent experience)
Demonstrated experience in definition of data platform, data infrastructure, or analytics product through multiple delivery phases, from first ingestion through to production consumers
Solid background in data architecture, including layered or data contracts, schema and lineage management, data catalogues, and SQL as a primary consumer interface
Working knowledge of data governance and access control concepts, including attribute-based access control, data classification, least privilege, retention, and audit evidence
Demonstrated experience driving standardization and adoption across teams
Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor
Experience building single-source-of-truth entity models, CMDB, or inventory systems that reconcile identifiers across multiple source systems
Familiarity with bi-temporal or append-only data modeling and point-in-time historical reconstruction
Experience delivering data products consumed by AI agents through MCP, retrieval, or graph-backed context, as well as by human analysts
Background in large-scale GPU, HPC, or data center fleet operations, observability, resource planning, or infrastructure security
Experience productizing an internal platform for external partners, including disconnects

Benefits

Comp & perks

Highly competitive salary
Comprehensive benefits package
Equity
Benefits for employees and their families