Deputy Manager, Analytics & Insights

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

• 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.

• 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)

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

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.

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.