Senior Technical Program Manager, Data Platform

Role overview

Senior Technical Program Manager (Data Platform) responsible for leading the strategy and evolution of NVIDIA’s internal data platform ecosystem used across silicon development. The role drives large-scale programs that deliver data infrastructure services supporting analytics, machine learning, and business intelligence.

Responsibilities

• Own and drive end-to-end delivery of large-scale data infrastructure programs (e.g., data lakes, data platforms, pipelines)
• Partner with hardware engineering and data engineering teams to define roadmaps, scope, and technical requirements
• Translate ambiguous business needs into structured plans with milestones, risks, and dependencies
• Manage cross-team coordination, program governance, status tracking, reporting, and stakeholder communication
• Identify and mitigate risks, resolve blockers, and drive timely decisions across initiatives
• Embed reliability, scalability, performance, data quality, observability, and governance standards into programs
• Improve operational efficiency by introducing scalable processes, tools, and best practices
• Run post-launch evaluations, retrospectives, and continuous improvement activities

Requirements

• BS (or equivalent) in Computer Science or related technical field
• 12+ years of technical program management experience, including ownership in data infrastructure/distributed systems/on-prem platforms at large scale (multi-TB/day)
• Familiarity with data ecosystems and technologies such as ETL/ELT pipelines, data lakes/warehouses
• Experience with tools/technologies including Spark, Kafka, Airflow, Snowflake (or similar)
• Strong understanding of scalability, reliability, and performance system design concepts
• Ability to partner with highly technical engineering teams and drive products from concept through delivery
• Analytical approach: define success measures, track adoption, and improve workflow efficiency
• Strong cross-functional leadership and communication; can influence without authority
• Experience with geo-distributed teams and complex collaboration
• Track record of driving adoption of internal platforms and influencing engineering culture

Nice to have

• Experience supporting hardware/silicon development environments (pre-silicon workflows)
• Background with modern data platforms (real-time streaming, large-scale batch processing) in on-prem or hybrid environments
• Infrastructure-as-code experience
• Experience with data governance, privacy, or compliance initiatives
• Experience supporting or scaling AI/ML platforms and infrastructure
• Familiarity with FinOps and cloud cost optimization principles (tagging, rightsizing, cost allocation)

Location

California, United States