Senior Manager, Infrastructure Data Science

About the Role Databricks is seeking a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will lead a team of data scientists and partner with engineering leaders to provide data-driven insights and scalable solutions that improve capacity planning, performance, reliability, and customer experience.

What You'll Do

• Provide thought leadership and strategic guidance on infrastructure planning to balance current needs with future growth.
• Promote a data-driven approach to infrastructure decisions across engineering and support teams.
• Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance.
• Spearhead analyses to improve resource utilization and eliminate inefficiencies, driving cost savings and optimized performance.
• Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience.
• Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment for innovative, scalable infrastructure solutions.
• Collaborate with engineering leaders to empower them with data-driven insights and solutions.

What We're Looking For

• 10+ years of infrastructure data science, machine learning, and analytics experience in high-velocity, high-growth companies.
• 5+ years of management experience hiring and developing teams.
• Experience developing data science, analytics, ML/AI products and capabilities in a cloud environment.
• Knowledge of statistics and rigorous analytical techniques.
• Experience with data visualization tools, data engineering, data modeling, and big data technologies.
• Leadership skills to lead across functional and organizational lines; strong communication skills to explain analytics and data science to executives and senior management.
• Bias to action and passion for delivering high-quality data solutions; comfort with ambiguity.
• MS or PhD in Statistics, Mathematics, Computer Science, or Engineering.

Compensation & Benefits

• Pay Range: $228,600—$314,250 USD (Zone 1)
• Total compensation may include annual performance bonus, equity, and additional benefits.
• Benefits: comprehensive program; specifics vary by region. For more information, see the benefits page.