Senior Data Platform and Analytics Product Manager - DGX Cloud

NVIDIA•Us, CA

1d•Hybrid

About The Position

NVIDIA is seeking a Senior Product Manager to define and own the DGX Cloud Data Platform and Analytics System. This platform is a governed data platform that aggregates fleet and machine data from across DGX Cloud, publishing it as authoritative, joinable, and fully traceable data products. The role is responsible for the roadmap across the platform's development phases, defining data products that enable cross-fleet queries, and negotiating data contracts with data-producing teams. This position involves close collaboration with engineering leadership, infrastructure security, and compliance to establish data classification, access, retention, and auditing processes. It is a foundational role on a new team with a broad scope and high visibility.

Requirements

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.
A 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.

Nice To Haves

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.

Responsibilities

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 their data and define versioned data contracts covering schema, semantics, freshness, quality, and change notification.
Drive identifier and schema standardization upstream with producing teams, ensuring all standardization decisions are recorded, owned, and tracked.
Work with infrastructure security, compliance, and enterprise data teams to define the security model.
Engage with engineering leadership to establish priorities, resource allocation, sequence delivery against constraints, and gain prioritization consensus.
Define and report measures of platform success, including standardization debt, pipeline freshness and quality SLOs, source onboarding throughput, and time to first answer for new consumers.
Define requirements and build the case for extending the platform to NVIDIA Cloud Partners and cloud service providers.