Job description

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 200+ public data centers globally and thousands of private sites 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. 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 trusted, governed data foundation and scaling intuitive analytics products across the enterprise. You will bridge technical architecture and business execution, partnering with cross-functional teams to eliminate manual reporting dependencies and enable AI-powered workforce intelligence. What you’ll do (Role Expectations) 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 Who You Are (Success Profile) 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. What We’re Looking for (Minimum Qualifications) 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 What Will Make You Stand Out (Preferred Qualifications) 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. Base Pay Range $172,000 — $215,000 USD 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.

Requirements

Must-haves

What you’ll do (Role Expectations)
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
Who You Are (Success Profile)
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.
What We’re Looking for (Minimum Qualifications)
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
Various health plans

Nice-to-haves

What Will Make You Stand Out (Preferred Qualifications)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agileaiml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Parental Leave