Senior Technical Program Manager, Data Platform

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$200,000–$322,000 / yr
Posted
46 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $261k
$141k most similar roles pay here $341k

This role pays more than 94% of similar roles. Most pay $160,300–$222,437 — the shaded band above. At the midpoint, this role pays about $261k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 967 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 950 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Technical Program Manager, Data Platform

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As a Senior Technical Program Manager in Hardware Infrastructure, you will lead the strategic expansion of our internal data platform ecosystem used across silicon development. Your role involves driving large-scale data infrastructure programs such as data lakes and pipelines, partnering with hardware and data engineering teams to define roadmaps and technical requirements, and ensuring execution at scale while maintaining reliability and performance standards. You will manage cross-team coordination, identify risks, and introduce scalable processes and tools to improve operational efficiency. The ideal candidate has over 12 years of experience in technical program management, familiarity with data ecosystems like Spark, Kafka, and Snowflake, and a strong understanding of system design concepts. Additionally, you should have experience supporting hardware development environments and scaling AI/ML platforms, as well as expertise in cloud cost optimization strategies to ensure infrastructure efficiency at scale.

Skills

Spark Kafka Airflow Snowflake CI/CD Docker AWS GCP Azure Terraform Python PostgreSQL FinOps Infrastructure-as-Code Data Governance Machine Learning Kubernetes Prometheus Grafana

What you'll do

  • Own and drive end-to-end delivery of large-scale data infrastructure programs.
  • Define roadmaps, scope, and technical requirements for hardware engineering projects.
  • Translate business needs into structured plans with clear milestones and risks.
  • Manage cross-team coordination, governance, status tracking, and stakeholder communication.
  • Identify and mitigate risks to ensure timely decision-making across initiatives.
  • Ensure reliability, scalability, performance standards are embedded in all initiatives.
  • Drive post-launch evaluations, retrospectives, and continuous improvement efforts.

What we're looking for

  • 12+ years of technical program management experience in large-scale data infrastructure
  • Proven ability to define roadmaps and translate business needs into structured plans
  • Strong understanding of system design concepts including scalability, reliability, and performance
  • Experience partnering with highly technical engineering teams on complex projects
  • Excellent cross-functional leadership and communication skills for influencing without authority
  • Familiarity with modern data ecosystems and technologies like Spark, Kafka, Airflow, Snowflake
  • Background in supporting hardware or silicon development environments and AI/ML platforms

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