Director, People Analytics (AI/ML) & Products

Role SummaryWe are seeking a forward-thinking and technically fluent Director of People Analytics (AI/ML) & Products to lead our centralized people analytics and modeling function. This role is responsible for delivering core HR insights, developing user friendly decision support systems, and operationalizing machine learning models that: (1) help shape workforce strategy, (2) improve decision quality across the employee lifecycle, and (3) drive continuous improvement in process automation and workforce design.This leader will build and manage a multidisciplinary team of people analysts and decision scientists. They will own the end-to-end lifecycle of data-driven products — from exploratory analysis to predictive modeling and GenAI/ Agentic AI development — ensuring insights are not only generated but also embedded into the daily decisions of HR and business leaders.Key ResponsibilitiesLead development of HR dashboards, workforce metrics, and data visualization toolsEstablish a centralized KPI framework aligned to organizational talent priorities and business strategySupport HRBPs and COEs with scalable, reusable analytics solutions and self-service toolsCollaborate with Data Engineering to maintain clean, model-ready HR datasetsLead creation of AI/ML-powered decision tools that support talent, engagement, and workforce planningEnsure models are ethical, explainable, auditable, and aligned with company values and compliance standardsPartner with behavioral science and workforce systems design teams to embed models into HR core processes and respective business workflowsTranslate complex analyses and model outputs into actionable guidance for HR and People LeadersBuild trust and data fluency across HR through enablement sessions, insight briefings, and modeling playbooksEstablish and evolve technical and governance standards for the people analytics functionPublish internal white papers, research briefs, and frameworks that shape organizational thinkingRequired QualificationsSTEM Master’s Degree (Data Science, Math, Operations Research, Economics, Statistics,…)6+ years in analytics, data science, or decision science with experience managing a technical teamDeep fluency in descriptive and predictive analytics, machine learning (supervised and unsupervised), and statistical modeling.Experience developing decision support applications leveraging Generative AI and/ or Agentic AI solutionsTechnical proficiency in Python and/ or R4+ years of Shiny App development and deployment, including experience using CSS and HTMLAbility to translate between technical teams and business stakeholdersUnderstanding of fairness, transparency, and data ethics in HR analyticsPreferred QualificationsExperience applying AI/ML in talent-related contexts (e.g., attrition modeling, talent segmentation, workforce forecasting, attrition risk predictions, …)Familiarity with MLOps principles and model lifecycle governancePrior experience in a high-growth, data-driven organization or consulting environmentStrong understanding of HR data systems and related HR tech stackTrack record of solving problems requiring systems thinking and a continuous improvement mindset (Lean Six Sigma, Kaizen). 

Created: 2025-10-01