Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.
We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.
Role
We are looking for a Deputy Manager - Analytics and Insights, FP&A to join our team. This is a Hybrid (Specify office presence requirements: Mohali Office) role, reporting to the Manager - Analytics and Insights, FP&A in the FP&A department. As Deputy Manager, you will be the technical architect behind Finance’s next-generation AI/ML data infrastructure. Moving beyond traditional data engineering, you will bridge the gap between financial strategy and production-grade ML systems. You will lead the development of our proprietary Finance Governance Layer, manage centralized Feature Stores for predictive churn and revenue signals, and pioneer Skill Engineering to build autonomous financial capabilities. Leveraging Snowflake Container Services (SPCS), Docker, and Streamlit, you will transform the Finance data stack into a high-performance, AI-driven engine.
What you’ll do (Role Expectations)
- Design and develop modular "Financial Skills"—programmable AI functions (e.g., automated variance detection, anomaly engines) that perform discrete, high-impact financial tasks
- Build and govern centralized Feature Stores in Snowflake to standardize predictive inputs such as churn propensity scores, renewal health, and expansion opportunity signals
- Architect and own the technical "Governance Layer" for Finance, ensuring AI/ML models interact securely with sensitive data via strict RBAC and auditable frameworks
- Architect production-grade data models in DBT and build interactive executive tools in Streamlit, ensuring a seamless flow from raw data to actionable, high-fidelity insights
- Architect the end-to-end deployment lifecycle for financial microservices and apps using Docker, managing deployments across Snowflake Container Services (SPCS) while ensuring compatibility and portability within enterprise cloud environments like AWS (ECS/EKS) or Azure (AKS)
Who You Are (Success Profile)
- Act as an owner with a strong passion for the mission and a natural bias for action, operating with integrity and navigating seamlessly between high-level strategy and hands-on execution.
- Serve as a high-trust collaborator who is ambitious for the team, actively giving and receiving ongoing feedback with candor, clarity, and respect to cultivate a high-performance culture.
- Build as a pragmatic creator who is obsessed with iterating and shipping, showing no hesitation to roll up your sleeves to balance technical excellence with rapid user value.
- Stay completely data-driven by leveraging analytics to find the truth, measure what truly matters, and replace assumptions with evidence to achieve superior outcomes.
- Think at scale by connecting day-to-day execution to the broader global mission, creating robust solutions and processes designed to support a high-growth organization.
What We’re Looking for (Minimum Qualifications)
- Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
- 5–8 years in Data Engineering, ML Engineering, or a highly technical Finance Analytics role
- Expert SQL and Python proficiency (specifically for data engineering, automation, and deploying ML-ready pipelines)
- Proven experience in deploying containerized applications and services within modern cloud ecosystems (e.g., AWS, Azure, or Snowflake SPCS)
- Significant experience with DBT (standards, testing, CI/CD) and Snowflake (performance tuning, architecture)
- Experience building or managing Data Governance frameworks for sensitive financial or customer information
What Will Make You Stand Out (Preferred Qualifications)
- Hands-on experience with Snowflake Container Services (SPCS) for running data-intensive applications
- Deep expertise in building and deploying interactive data applications using Streamlit, or professional-grade full-stack frameworks such as FastAPI for backend service architecture and ReactJS for high-fidelity financial frontends
- Advanced knowledge of Cloud Infrastructure (AWS/Azure) for managing the deployment lifecycle of machine learning models and high-scale finance applications (e.g., CI/CD, API Gateways, and monitoring)
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#LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.