About the Job
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 acros...
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 ...
We are looking for a Sr. Manager, People Data Infrastructure and Platforms to join our team. This is a Hybrid role located at our Santa Clara, CA HQ or Bellevue, WA office, reporting to the VP, People & Culture AI and Data. In this role, you will lead the evolution of our workforce data ecosystem by establishing a t...
Key Responsibilities
Manage and scale the People data foundation across our enterprise data ecosystem, overseeing workforce data models, pipelines, and data quality on Snowflake to deliver certified, trusted workforce data
Establish and enforce data governance and metric certification standards, driving alignment toward single-source-of-truth definitions for core People metrics across the enterprise
Lead the development, delivery, and adoption of scaled workforce analytics products on platforms like Visier and Snowflake, shifting recurring reporting away from spreadsheets and into intuitive self-service experiences
Partner closely with People AI and technology teams to build governed data layers and semantic architectures that enable AI models and agents to reliably generate workforce insights
Lead, mentor, and develop a high-performing team of data and analytics professionals, cultivating a product-oriented mindset focused on measurable usage, operational rigor, and business impact
Required Skills & Abilities
You are a pragmatic builder who balances technical excellence with rapid delivery, rolling up your sleeves to turn complex architectural concepts into reliable, production-ready data pipelines and analytics products.
You are data-driven and anchor your decisions in rigorous evidence, using analytics to uncover the truth, establish metric integrity, and eliminate inconsistencies across workforce data.
You champion simplicity by distilling complex technical architectures and sprawling reporting demands into streamlined, intuitive data products and self-service solutions.
You are a high-trust collaborator who communicates with clarity, candor, and respect, building strong cross-functional partnerships across People, IT, and enterprise data teams.
You think at scale, designing resilient data foundations, governance models, and team practices that are built to support a high-growth global organization and evolving AI capabilities.
Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
8+ years of experience across People Analytics, workforce analytics, data engineering, BI, or analytics products, including 3+ years of direct people management experience leading technical and analytics talent
Strong technical background in modern cloud data architecture, including hands-on experience designing and operating workforce data models and pipelines on Snowflake
Proven track record building, scaling, or managing People Analytics platforms and tools such as Visier, Workday, Tableau, or Power BI
Demonstrated success improving data quality, establishing metric governance frameworks, and creating certified semantic layers in complex enterprise environments
Strong product mindset with demonstrated experience simplifying large reporting portfolios and transitioning organizations from manual reporting toward scalable self-service analytics
Experience architecting semantic data layers and governance frameworks specifically designed to support generative AI tools, LLMs, or autonomous agents
Deep expertise in workforce data privacy, role-based access controls (RBAC), and regulatory compliance within enterprise HR environments
Proven success leading large-scale dashboard rationalization programs that effectively retired legacy reporting and drove measurable self-service adoption
#LI-RL2 #LI-Hybrid
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
Qualifications
Experience:
8 years experience
