Director, People Analytics and Workforce Intelligence

Responsibilities

Define and execute the global roadmap for People Analytics, aligning workforce insights directly with core business strategy and growth goals.

Lead the design, development, and deployment of custom AI-driven analytics tools, internal dashboards, and predictive decision-support applications for leaders and managers.

Shift the organizational paradigm from reactive, descriptive reporting to proactive, predictive talent interventions (e.g., flight-risk modeling, workforce planning, skill gap forecasting, performance drivers).

Utilize Generative AI frameworks across HR data ecosystems to automate insights generation, summarize employee sentiment, and streamline talent operations.

Partner with IT, Enterprise Data, and Security teams to ensure rigorous data governance, privacy compliance (GDPR/CCPA), and ethical AI frameworks for employee data.

Champion data democratization across the company by training and empowering People Business Partners and business managers to self-serve actionable insights.

Serve as the principal data advisor to the People Leadership Team, translating complex analytical findings into compelling executive narratives.

Design framework models that measure the ROI of People programs, culture initiatives, compensation strategies, retention plans, and talent acquisition pipeline efficiency.

Benchmark internal metrics against industry standards and macroeconomic trends to anticipate organizational talent shifts.

Qualifications

10+ years of progressive experience in Analytics, Business Intelligence, or Workforce Data Science

Demonstrated experience building or deploying AI/ML models (e.g., predictive modeling, NLP for sentiment analysis, LLM integrations) that translate raw data into user-friendly organizational tools.

Advanced proficiency in SQL, Python/R, and enterprise HR systems (Workday, SuccessFactors, etc.), along with demonstrated experience implementing a data warehouse that connects to a BI visualization platform (e.g., Tableau, PowerBI, Looker).

Exceptional narrative and storytelling ability—capable of distilling complex statistical models into clear, high-impact strategies for executive stakeholders.

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Industrial/Organizational Psychology, Business Analytics, or a related quantitative field.