Director, People & Decision Science
Core
Leads the application of economics, statistics, data science, and experimentation to complex workforce decisions, serving as the senior technical expert in workforce decision science.
Role type
Director, People & Decision Science
Builds
Decision science capability, causal inference models, predictive/prescriptive workforce models, and optimization/scenario models for HR leaders.
Domain
Human Resources / Workforce Analytics / Economics
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
causal inference, econometrics, experimental design, statistical modeling, machine learning, optimization, forecasting, behavioral economics, leadership of data scientists, large dataset analysis, business judgment, executive communication
Preferred skills
N/A
Technologies
N/A
Responsibilities
Establish methods and standards for applying quantitative techniques to workforce decisions; quantify effects of workforce programs and policies; design experiments to test workforce interventions; analyze labor supply, demand, incentives, and compensation; lead a team of data scientists; translate technical findings into actionable recommendations for executives; advance analytical rigor and responsible AI standards.
Seniority
Director, strategic leadership with hands-on technical involvement