Sr. Manager, People Data Infrastructure & Platforms

Bellevue · Santa Clara · USD 172,000-215,000 · 3+ years experience · Hybrid · Posted Oct 15, 2026

At a glance

The Sr. Manager, People Data Infrastructure & Platforms will lead the evolution of the workforce data ecosystem by establishing a governed data foundation and scaling analytics products.
This role bridges technical architecture and business execution to eliminate manual reporting and enable AI-powered workforce intelligence.
The position reports to the VP, People & Culture AI and Data and involves managing a team of data and analytics professionals.

Manage and scale the People data foundation across the enterprise data ecosystem.
Oversee workforce data models, pipelines, and data quality on Snowflake.
Establish and enforce data governance and metric certification standards.
Drive alignment toward single-source-of-truth definitions for core People metrics.
Lead the development, delivery, and adoption of scaled workforce analytics products on platforms like Visier and Snowflake.
Shift recurring reporting from spreadsheets to intuitive self-service experiences.
Partner with People AI and technology teams to build governed data layers and semantic architectures for AI models.
Lead, mentor, and develop a team of data and analytics professionals.
Cultivate a product-oriented mindset focused on measurable usage and business impact.

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.
Foundational understanding of AI/ML technologies and experience leveraging AI-driven solutions.
Strong technical background in modern cloud data architecture.
Hands-on experience designing and operating workforce data models and pipelines on Snowflake.
Proven track record building, scaling, or managing People Analytics platforms such as Visier, Workday, Tableau, or Power BI.
Demonstrated success improving data quality and establishing metric governance frameworks.
Experience creating certified semantic layers in complex enterprise environments.
Strong product mindset with experience transitioning organizations toward scalable self-service analytics.

Experience architecting semantic data layers and governance frameworks for 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.