Senior AI-Driven People Data Architect

Block

New York (NY)

On-site

USD 135,000 - 203,000

Full time

14 days+
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Benefits offered by this job

Remote work
Medical insurance
Retirement plans

Job summary

Block is seeking a senior individual contributor to own the end-to-end People data ecosystem, from raw pipelines to predictive models and agentic workflows that put insight into action.

This is a hands-on role at the intersection of data engineering, data science, people analytics, and agentic AI, where you will design architecture, write production code, and set the technical bar for how People data and AI work at our company.

Qualifications

  • 8+ years of relevant experience in data or analytics roles.
  • Proven experience building data pipelines (SQL, Python, dbt/Airflow or similar, cloud data warehouses).
  • Strong data science foundation: statistics, ML, experiment design, and thoughtful judgment.

Responsibilities

  • Design, build, and maintain reliable data pipelines that unify people data across HRIS, ATS, performance, compensation, and engagement systems.
  • Model data for analytics and ML use with emphasis on quality, lineage, privacy, and governance.
  • Build predictive and diagnostic models (attrition, hiring funnel health, org network analysis, compensation equity, workforce planning).
  • Translate questions into rigorous analyses and deliver actionable insights for leaders.
  • Design and deploy AI agents and automations that operationalize insight and trigger workflows.

Skills

SQL
Python
dbt/Airflow
Data Warehouses
Data science
LLMs
Agentic AI
Data Engineering

Tools

Git
Python tooling

Job description

Block is seeking a senior individual contributor to own the end-to-end People data ecosystem, from raw pipelines to predictive models and agentic workflows that put insight into action.

This is a hands-on role at the intersection of data engineering, data science, people analytics, and agentic AI, where you will design architecture, write production code, and set the technical bar for how People data and AI work at our company.

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