Deputy Manager, Analytics & Insights

About Zscaler

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.

We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

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