Sr. Manager, People Data Infrastructure & Platforms

Zscaler•Santa Clara, CA

14h•$172,000 - $215,000•Hybrid

About The Position

Zscaler is seeking a Sr. Manager, People Data Infrastructure and Platforms to lead the evolution of their workforce data ecosystem. This role involves establishing a trusted, governed data foundation and scaling intuitive analytics products. The position requires bridging technical architecture and business execution, partnering with cross-functional teams to eliminate manual reporting and enable AI-powered workforce intelligence. The role is hybrid and located at their Santa Clara, CA HQ or Bellevue, WA office, reporting to the VP, People & Culture AI and Data.

Requirements

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.
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.

Nice To Haves

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.

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, 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.