Note: The job is a remote job and is open to candidates in USA. ZoomInfo is a company that accelerates careers and fosters a culture of creativity and accountability. As the Head of People Analytics & Innovation, you will build and lead the people analytics function, developing AI-powered tools and strategies that drive decision-making in HR. This role requires a combination of technical expertise and strategic insight to translate people data into actionable business outcomes.

Responsibilities

• Build and lead ZoomInfo's People Analytics & Innovation function, including hiring, developing, and managing two individual contributors
• Define and execute the people analytics strategy and roadmap, translating HR and business priorities into a pipeline of high-impact analytics projects and AI-powered tools
• Design and build custom AI tools, automation, and applications (using Python, MCPs, LLMs, and related technologies) that fundamentally improve how HR operates and makes decisions
• Develop predictive and prescriptive models across workforce planning, attrition/retention, engagement, talent mobility, and employee experience
• Create and maintain executive-ready dashboards, reports, and data visualizations that surface actionable insights for senior leadership
• Own the design, deployment, and analysis of enterprise-wide qualitative instruments (e.g., employee surveys, pulse checks) and synthesize findings into strategic recommendations
• Partner with HR leadership and cross-functional stakeholders to identify high-value analytical questions, scope projects, and deliver data-driven recommendations
• Transform complex analytical findings into clear, compelling narratives and presentations for executive audiences, including the ELT
• Establish scalable data infrastructure, governance frameworks, and measurement processes that enable a self-service analytics culture over time
• Stay current on emerging trends in people analytics, AI/ML, and HR technology — and proactively identify opportunities to apply them at ZoomInfo
• Collaborate with global Compliance, Privacy, Legal, and Risk teams to ensure people analytics initiatives adhere to regulatory requirements, data privacy standards, and internal governance policies
• Partner with enterprise Data Engineering and Infrastructure teams to architect, test, and deploy analytics solutions and AI tools into production environments
• Foster a team culture of experimentation, intellectual curiosity, and bias toward action

Skills

• 8+ years of progressive experience in people analytics, workforce analytics, HR data science, or a related quantitative field
• 3+ years of experience managing or leading an analytics team, including hiring, coaching, and developing talent
• Demonstrated experience building AI/ML tools, applications, or automation from scratch in a professional setting (not just model training — full product delivery)
• Strong hands-on proficiency in Python and SQL; experience with data manipulation, statistical modeling, and building production-grade scripts and applications
• Experience working with modern AI/ML tools and frameworks (e.g., LLMs, GenAI APIs, MCP architecture, NLP)
• Proven ability to design and execute enterprise survey programs and translate qualitative data into quantitative insights
• Exceptional data storytelling skills — ability to synthesize complex analysis into clear, executive-ready communications
• Experience working with HRIS platforms (e.g., Workday) and analytics/BI tools (e.g., Snowflake, Tableau, Looker, or similar)
• Demonstrated track record of operating as a player-coach: setting strategy while personally delivering technical work
• Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, I/O Psychology, Economics, Computer Science, or related)
• Master's or Doctoral degree in a quantitative, business, or social science field (e.g., I/O Psychology, Data Science, Statistics, Organizational Behavior, Economics, Computer Science)
• Experience building a people analytics function or team from scratch
• Familiarity with MCP (Model Context Protocol) architecture and building AI agent workflows
• Experience with Workday RAAS reporting and Snowflake data environments
• Background in building self-service analytics platforms or democratizing data access within an organization
• Experience at a high-growth technology company or a company that has undergone significant organizational transformation

Benefits

• Bonus
• Equity
• Benefits
• Comprehensive benefits
• Holistic mind, body and lifestyle programs designed for overall well-being

Company Overview

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