Nvidia Director End-to-End Data Systems 

United States, California 

711713039

What you’ll be doing:

• As a Senior Leader, you will be both the technical and managerial leader to implement the expansion of the Operations Data Platform

• You will develop the strategic direction for the operations team to define where Ops data resides, which datasets need to be brought into the data platform, build datasets prioritization, formalize a data governance model, and drive usage of this data platform.

• You will identify resource needs, fill resource gaps, and optimally use the team to deliver to the roadmap

• Collaborate with Operations teams, IT, Software teams, and Nvidia-wide initiatives (ex: Master data, Omniverse) to continue driving towards on a single vision, engagement and adoption of the platform.

• Develop compelling communication on this vision and execution plan to Operations and IT partners, ensuring alignment and understanding across the organization.

• Be a strong leader with a passion for developing people and encouraging a culture of growth and trust where employees can do their life’s work.

What we need to see:

• Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience

• 15+ overall years of experience in the data engineering and data science industry. 10+ years in deep technical leadership positions. 5+ years as Director of an engineering domain managing large and sophisticated projects.

• Solid grasp of data engineering concepts, including ETL processes, data lakes, data warehouses, and large data technologies

• Previous hands-on experience with Python, SQL, and distributed computing systems like Apache Spark

• Familiarity with cloud platforms, particularly AWS services related to data storage, processing, and analytics

• Experience and knowledge of decision intelligence concepts (ex: ML/DL/LLMs etc.) and their application in business contexts

• Experience transitioning from a hands-on engineering role to people management

• Demonstrable ability to work independently, drive key technical decisions, develop project roadmaps, and champion effective partnerships within multi-functional teams

• Proficiency in technical leadership including an understanding of architecting, crafting, developing, and maintaining data warehouses/data lakes for sophisticated data ecosystems, data governance, dashboard development, as well as designing, developing, and deploying data science models

• Dynamic leader with a positive, problem-solving attitude, exceptional organizational abilities, and outstanding communication skills.

• Proven track record of effective collaboration and influence across teams.

• Highly resilient and driven, consistently tackling tasks with urgency and determination.

• Skilled at resolving issues and empowering others to do the same.

Ways to stand out from the crowd:

• Demonstrates initiative and is a self-starter, has integrity and accountability, is highly motivated, driven, and is attracted to a significant opportunity.

• Experience with real-time data processing, and streaming technologies, knowledge of data visualization tools and techniques, and familiarity with DevOps practices and CI/CD pipelines for data projects.

• Exhibits a strong track record of working in a fast-paced environment where good interpersonal skills are important.

• Possess strong analytical skills, capable of collecting, organizing, and disseminating significant amounts of information with attention to detail and accuracy.

• Understanding of GPU-accelerated data processing and analytics. Understanding of operational processes across Chips, Boards, Systems, and Networking.