Head of People Analytics & Innovation · ZoomInfo

Fri, 24 Apr 2026 12:21:12 GMT
Engineering

ZoomInfo · Remote · $134,400 - $249,600 · remote

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.

At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are a take-charge, take-initiative, get-stuff-done individual we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.

As the Head of People Analytics & Innovation, you will build and lead ZoomInfo's people analytics function from the ground up. Reporting to the SVP of Organizational Effectiveness, you will own the end-to-end analytics strategy for HR , designing and shipping AI-powered tools, predictive and prescriptive models, dashboards, and research that drive executive decision-making on talent, workforce planning, and employee experience. This is a hands-on, player-coach role: you will set the vision for what we build, write the code to build it, and hire and develop a small, high-impact team (2 ICs) to scale the function. The ideal candidate combines deep technical fluency (Python, statistics, SQL, AI/ML) with the strategic judgment to translate people data into business outcomes and the builder mentality to stand up new capabilities from scratch.

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

Requirements

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)

Preferred

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

Compensation

The US base salary range for this position is $134,400 - $249,600 + bonus + equity + benefits.

Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.