Senior Manager, Enterprise Data Platform

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 Senior Manager, Enterprise Data Platform to join our team. This is a remote (within the US) role, reporting to the Senior Director, Enterprise Data Platform in the IT Data Strategy department. In this role, you will be a key technical and strategic leader responsible for driving the architecture, strategy, and continuous evolution of our modern enterprise data platform.

You will lead the central data team, balancing its evolution into a highly effective, self-service platform team while actively supporting critical, high-impact, organization-wide data initiatives. A core focus of this role is preparing both the central data team and federated business intelligence units (such as Sales, Marketing, and other internal business functions) to become AI-ready, implementing strategies to embed AI directly into daily data analytics. This is a critical leadership position requiring a passionate innovator who is equally comfortable defining high-level strategy, establishing platform governance, and rolling up their sleeves to tackle complex, hands-on technical challenges.

Role

We are looking for a Senior Manager, Enterprise Data Platform to join our team. This is a remote (within the US) role, reporting to the Senior Director, Enterprise Data Platform in the IT Data Strategy department. In this role, you will be a key technical and strategic leader responsible for driving the architecture, strategy, and continuous evolution of our modern enterprise data platform.

You will lead the central data team, balancing its evolution into a highly effective, self-service platform team while actively supporting critical, high-impact, organization-wide data initiatives. A core focus of this role is preparing both the central data team and federated business intelligence units (such as Sales, Marketing, and other internal business functions) to become AI-ready, implementing strategies to embed AI directly into daily data analytics. This is a critical leadership position requiring a passionate innovator who is equally comfortable defining high-level strategy, establishing platform governance, and rolling up their sleeves to tackle complex, hands-on technical challenges.

What you’ll do (Role Expectations)

Drive Platform Strategy, Architecture, Evolution: Define the long-term technical roadmap, architecture, and strategy for the Enterprise Data Platform (utilizing Snowflake, dbt, Matillion DPC, and Streamlit). Balance the evolution toward modern platform operating models (medallion and mesh architectures) while actively supporting critical, high-impact, organization-wide business initiatives

Enable Self-Service Mesh Architectures: Empower decentralized business functions (such as Sales, Marketing, and Finance) to be entirely self-sufficient. Establish the fundamental analytics layers (Raw, Transform, Analytics) and deliver standard data contracts, allowing federated BI teams to easily build and run their own custom data models

Embed AI into Data, Pipelines, Analytics: Advance both the central and federated teams to become truly AI-ready. Design and implement strategies to embed AI directly into enterprise analytics, including building complex data pipelines (ETL), custom data apps, and Retrieval-Augmented Generation (RAG / Graph RAG) architectures directly on the data platform

Architect AI-Driven Platform Operations Governance: Implement frameworks for robust platform governance, data observability, and transparent cost attribution to optimize compute resources and Snowflake token consumpti…