What are the responsibilities and job description for the Senior Manager, Public Cloud FP&A position at Zscaler?
Our general and administrative teams help to support and scale our great company. Whether striving to grow our workforce, nurture an amazing culture and work environment, support our financial and legal operations, or maintain our global infrastructure, the G&A team provides a strong foundation for growth. Put your passion, drive and expertise to work with the world's cloud security leader.
Zscaler is seeking an experienced Senior Manager, Public Cloud FP&A. You will serve as a key member of the Tech Finance team, owning the forecasting of company-wide third-party Cloud spend, as well as identifying and driving cost savings opportunities to efficiently support our scaling business. In this role, you will work cross- functionally with Engineering, Finance, IT, Corp Dev and the Executive team. You will report to the Director Cloud Capacity Planning and in this role, you will:
- Own the forecasting and variance analysis of Public Cloud spend and Business Partner with engineering leadership.
- Analyze financial data to support strategic initiatives, capital investments, and cloud infrastructure scaling decisions.
- Monitor and optimize cloud usage and costs across different cloud providers (AWS, Azure, GCP).
- Partner with FinOps to implement tools and automation for cloud cost management and reporting.
- Represent Finance in a cross-functional Cloud Center of Excellence (CCoE).
What We're Looking for (Minimum Qualifications)
- Bachelor’s degree in Data Analytics, Finance, Statistics, or Economics
- 8 years total experience in Finance, FP&A, or related roles
- 3 years specific experience in Cloud Finance or FinOps roles
What Will Make You Stand Out (Preferred Qualifications)
- Extensive working experience using third party or cloud native cost and usage reporting
tools (e.g. Cloud Health, Cloudability, AWS Cost Explorer, Azure Cost Management) - FinOps and/or Public Cloud Provider Certification(s)
- Understanding of financial modeling, gross margins and experience with large data sets
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