People Intelligence Architect
Senior individual contributor who architects and builds end-to-end people data systems, predictive models, and AI-agent workflows. Requires 8+ years of experience across data engineering and data science, with expertise in Python, SQL, machine learning, sensitive HR data, and agentic AI.
About the job
Responsibilities
- Design, build, and maintain reliable pipelines unifying people data across HRIS, ATS, performance, compensation, and engagement systems.
- Model sensitive workforce data for analytics and machine learning, emphasizing quality, lineage, privacy, and governance.
- Build predictive and diagnostic models for attrition, hiring funnel health, organizational network analysis, compensation equity, and workforce planning.
- Translate ambiguous people questions into rigorous analyses and actionable recommendations for leaders.
- Partner on employee engagement surveys, including instrument design, data collection, analysis, driver identification, and actionable insights.
- Design and deploy AI agents and automations that monitor signals, generate reports, draft recommendations, and trigger workflows.
- Establish guardrails, evaluation methods, and human-in-the-loop patterns for safe, trustworthy agentic systems handling sensitive data.
- Own and evolve the architecture connecting pipelines, models, and agents.
- Set technical direction and standards through code reviews, design documentation, and peer mentorship.
- Collaborate with People, Data Platform, Security, and Legal teams to ensure compliance, scalability, and usefulness.
Requirements
- 8+ years of relevant experience.
- Experience building data pipelines with SQL, Python, dbt/Airflow or similar tools, and cloud data warehouses.
- Strong foundation in statistics, machine learning, and experiment design.
- Knowledge of people and HR data, including its sensitivity, ethics, and nuance.
- Hands-on experience with LLMs and agentic frameworks, including automations, prompt design, tool use, and evaluation loops.
- Strong systems thinking and end-to-end architecture skills.
- Excellent communication skills, including explaining models to executives and workflows to engineers.
Nice-to-haves
- Experience with people analytics platforms such as Workday or Visier.
- Background in organizational network analysis or workforce planning.
- Experience deploying AI in regulated or privacy-sensitive environments.
Compensation and Benefits
- U.S. annual base salary ranges by location zone: $142,600–$213,800 (Zone D), $151,200–$226,800 (Zone C), $159,800–$239,600 (Zone B), and $171,800–$257,600 (Zone A).
- Benefits include remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning.
Skills
SQL, Python, dbt, Airflow, Cloud Data Warehouses, Statistics, Machine Learning, Experiment Design, LLMs, Agentic Frameworks, Workday, Visier, Data Governance, Organizational Network Analysis, Workforce Planning
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