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Zscaler

Secures workforce access to apps and the internet

Senior Manager - People Data Infrastructure and Platforms

Data Management +1Confirmed live in the last 24 hours
Full-time$172k - $215k

About the Job

Requirements

  • Foundational understanding of artificial intelligence and machine learning technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within the functional domain.
  • At least 8 years of experience across People Analytics, workforce analytics, data engineering, business intelligence, or analytics products, including at least 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.
  • Pragmatic approach balancing technical excellence with rapid delivery and turning complex architectural concepts into reliable, production-ready data pipelines and analytics products.
  • Data-driven decision-making, using analytics to establish metric integrity and resolve inconsistencies across workforce data.
  • Ability to simplify complex technical architectures and reporting demands into streamlined, intuitive data products and self-service solutions.
  • Ability to communicate clearly and build cross-functional partnerships across People, IT, and enterprise data teams.
  • Ability to design resilient data foundations, governance models, and team practices for a high-growth global organization and evolving AI capabilities.

Responsibilities

  • Manage and scale the People data foundation across the 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, aligning core People metrics on single-source-of-truth definitions across the enterprise.
  • Lead the development, delivery, and adoption of scaled workforce analytics products on platforms such as Visier and Snowflake, shifting recurring reporting from spreadsheets to intuitive self-service experiences.
  • Partner with People AI and technology teams to build governed data layers and semantic architectures that enable AI models and agents to generate workforce insights reliably.
  • Lead, mentor, and develop a high-performing team of data and analytics professionals, fostering a product-oriented mindset focused on measurable usage, operational rigor, and business impact.

Desired Qualifications

  • Experience architecting semantic data layers and governance frameworks designed specifically to support generative AI tools, large language models, or autonomous agents.
  • Deep expertise in workforce data privacy, role-based access controls, and regulatory compliance within enterprise human resources environments.
  • Proven success leading large-scale dashboard rationalization programs that retire legacy reporting and drive measurable self-service adoption.

About the Company

Zscaler

Secures workforce access to apps and the internet

Zscaler builds cloud security software for organizations that need to protect employees, applications and data across offices and remote locations. Its Zero Trust Exchange checks the identity and context of each connection, inspects traffic for threats and applies access rules set by security teams. Zscaler Internet Access protects web and cloud application traffic, while Zscaler Private Access connects authorized users to specific internal applications without a VPN. Organizations buy subscriptions priced primarily by the number of users and metered usage, with related support services included in the business. Zscaler was founded in 2007 and is headquartered in Santa Clara, California.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2007

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