People Intelligence Architect
Block
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People Intelligence Architect
Full-time/Company: Block
Block is structured as one company built from many blocks, with foundational teams providing corporate-level support and guidance across business groups globally.
Responsibilities:
- Design and maintain reliable data pipelines unifying HRIS, ATS, performance, compensation, and engagement data
- Model data for analytics and ML with emphasis on quality, lineage, privacy, and governance
- Build predictive models for attrition, hiring funnel health, organizational network analysis, compensation equity, and workforce planning
- Translate people questions into rigorous analyses and communicate results to leaders
- Partner on employee engagement surveys from design through actionable insights
- Design and deploy agentic AI and automations with appropriate guardrails and human-in-the-loop patterns
- Own system architecture and set technical direction through code review, documentation, and mentorship
Requirements:
- 8+ years relevant experience
- Proven experience building data pipelines (SQL, Python, dbt/Airflow or similar, cloud data warehouses)
- Solid data science foundation including statistics, ML, and experiment design
- Working knowledge of people/HR data including sensitivity and ethics
- Hands-on experience with LLMs and agentic frameworks
- Strong systems thinking and design capability
- Excellent communication with both executives and engineers
Nice to have:
- Experience with people analytics platforms (Workday, Visier)
- Background in organizational network analysis or workforce planning
- Experience deploying AI in regulated or privacy-sensitive environments
Stack:
SQL, Python, dbt, Airflow, cloud data warehouses, LLMs, agentic frameworks, Workday, Visier
Benefits:
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning support
- Remote work
📩 Apply
Full-time/Company: Block
Block is structured as one company built from many blocks, with foundational teams providing corporate-level support and guidance across business groups globally.
Responsibilities:
- Design and maintain reliable data pipelines unifying HRIS, ATS, performance, compensation, and engagement data
- Model data for analytics and ML with emphasis on quality, lineage, privacy, and governance
- Build predictive models for attrition, hiring funnel health, organizational network analysis, compensation equity, and workforce planning
- Translate people questions into rigorous analyses and communicate results to leaders
- Partner on employee engagement surveys from design through actionable insights
- Design and deploy agentic AI and automations with appropriate guardrails and human-in-the-loop patterns
- Own system architecture and set technical direction through code review, documentation, and mentorship
Requirements:
- 8+ years relevant experience
- Proven experience building data pipelines (SQL, Python, dbt/Airflow or similar, cloud data warehouses)
- Solid data science foundation including statistics, ML, and experiment design
- Working knowledge of people/HR data including sensitivity and ethics
- Hands-on experience with LLMs and agentic frameworks
- Strong systems thinking and design capability
- Excellent communication with both executives and engineers
Nice to have:
- Experience with people analytics platforms (Workday, Visier)
- Background in organizational network analysis or workforce planning
- Experience deploying AI in regulated or privacy-sensitive environments
Stack:
SQL, Python, dbt, Airflow, cloud data warehouses, LLMs, agentic frameworks, Workday, Visier
Benefits:
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning support
- Remote work
📩 Apply
- sql
- python
- dbt
- airflow
- cloud_data_warehouses
- machine_learning
- llms
- agentic_frameworks
- workday
- visier
- statistics
- experiment_design
Оценка вакансии
58/100 · удовлетворительно
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- Формат описан частично
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