Senior Manager, Infrastructure Data Science

We are looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimisation, reliability engineering, infrastructure efficiency, and customer experience.

As a Senior Manager, you will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. You will promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.

Key responsibilities include:

• Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
• Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
• Spearhead analyses to improve resource utilisation efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimised performance.
• Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
• Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.

Requirements include:

• 10+ years of infrastructure data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.
• 5+ years of management experience hiring and developing teams.
• Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment.
• Knowledge of statistics and rigorous analytical techniques.
• Experience with data visualisation tools, knowledge of data engineering, data modelling, and big data technologies.
• Leadership skills and experience to lead across functional and organisational lines.
• Strong communication skills to explain and evangelise analytics and data science to executives and the senior management team.
• Bias to action and passion for delivering high-quality data solutions.
• A passion for problem-solving and comfort with ambiguity.
• MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $228,600-$314,250 USD