Director - Human Capital Insights

About the Role

We have an exciting opportunity to join our global Human Resources organization as the Director of Human Capital Insights. In this role you will shape and lead the next evolution of our People Analytics function – partnering with senior leadership to define and execute a forward‑looking vision that leverages advanced analytics, predictive modeling, and emerging AI and Intelligent Automation (IA) capabilities.

This highly visible, hands‑on leadership role accelerates speed to insight, delivering timely, actionable workforce intelligence that enables leaders to make data‑driven decisions. You will lead a team focused on generating high‑impact insights across the employee lifecycle while modernizing tools, processes, and operating models for a more agile, data‑centric organization. You will partner closely with HR leaders, business executives, technology teams, and data governance partners to embed analytics into core decision‑making processes and unlock measurable business value.

• Strategy & Transformation
  • Define and execute the Human Capital Analytics strategy and roadmap, aligned to business priorities and future workforce needs.
  • Lead the evolution from reporting to proactive, insight‑driven analytics emphasizing speed, scalability, and business impact.
  • Identify and prioritize high‑value use cases across the employee lifecycle, including opportunities to leverage AI and intelligent automation.
• Advanced Analytics & Insight Generation
  • Lead the design and delivery of advanced analytics solutions, including predictive and prescriptive modeling (e.g., attrition risk, workforce planning, talent mobility).
  • Accelerate speed to insight by streamlining processes, reducing cycle time, and enabling rapid delivery of actionable insights.
  • Apply statistical methods, data science techniques, and business acumen to uncover trends, root causes, and opportunities.
• AI & Intelligent Automation
  • Identify and deploy practical AI and IA use cases that enhance analytics capabilities and improve efficiencies (e.g., segmentation, narrative generation, anomaly detection).
  • Promote responsible AI practices, including governance, transparency, and risk mitigation.
• Data, Technology & Self‑Service Enablement
  • Modernize and scale analytics capabilities through automation, advanced tooling, and self‑service solutions.
  • Eliminate manual processes and duplicate efforts, improving how business partners access and consume insights.
  • Partner with data governance teams to ensure data quality, access control, and integrity across key data domains.
• Executive Communication & Storytelling
  • Translate complex data into clear, compelling executive narratives that inform and influence decision‑making.
  • Develop concise, insight‑driven materials for senior leadership, linking workforce analytics to business outcomes.
• Leadership & Team Development
  • Lead and develop a high‑performing, hybrid team supporting analytics and emerging data science capabilities.
  • Foster a culture of innovation, continuous learning, and data‑driven decision making.
  • Act as a champion for the function, removing barriers and enabling team success.

• Bachelor's Degree or equivalent.
• 10+ Years of relevant experience in analytics, data science or People Analytics.
• Demonstrated experience with advanced analytics, predictive modeling, and statistical techniques.
• Proficiency with modern analytics tools and languages (e.g., Python, R, SQL) and data visualization platforms.
• Experience applying analytics in a data‑rich, complex environment.
• Proven ability to translate complex technical concepts into business‑relevant insights.
• Strong executive communication and storytelling skills.
• Demonstrated ability to operate as a hands‑on leader (player‑coach), balancing strategy and execution.
• Ability to drive alignment across technical and non‑technical stakeholders.

• Master's degree in quantitative or analytics fields (e.g., Statistics, Computer Science, Engineering, Behavioral Sciences).
• Experience incorporating AI/ML and automation into analytics workflows.
• Experience with HR systems and data platforms (e.g., Workday, Prism, Power BI).
• Prior…