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Salary: USD 172,000 - 215,000 / annual
Zscaler is seeking a Senior Manager of People Data Infrastructure & Platforms to lead the evolution of the company's workforce data ecosystem. Reporting to the VP of People & Culture AI and Data, you will establish a trusted, governed data foundation and scale intuitive analytics products across the enterprise, bridging technical architecture with business execution.
Key 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
- Lead development, delivery, and adoption of scaled workforce analytics products on platforms like 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 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
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, anchoring decisions in rigorous evidence and using analytics to uncover truth and establish metric integrity. You champion simplicity by distilling complex technical architectures into streamlined, intuitive data products. You are a high-trust collaborator who communicates with clarity and builds strong cross-functional partnerships across People, IT, and enterprise data teams. You think at scale, designing resilient data foundations and governance models built to support a high-growth global organization and evolving AI capabilities.
Requirements:
- 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
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
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
