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# Senior Manager, Infrastructure Data Science

- **Company:** The Neon Company
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $217,000 - $288,400
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Information Engineering, Data Systems, Data Visualization, Machine Learning, Reliability of Systems, Data Analytics, Integration Frameworks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_8bcd4b44f135f9e6441feae641621cd0

## About the Role

* 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 visualization tools, knowledge of data engineering, data modeling, and big data technologies
 * Leadership skills and experience to lead across functional and organizational lines
 * Strong communication skills to explain and evangelize 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)

## Description

* Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
 * Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.
 * 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 utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in 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 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.