Senior People Data Architect & AI Systems

block; United States; Remote; USD 135,000 - 203,000; Full time

Benefits offered by this job

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Modern family planning

Job summary

Block is seeking a senior individual contributor to own and build our end-to-end people data ecosystem, from raw pipelines to predictive models and agentic workflows. You will design architecture, write production code, and set the technical bar for how People data and AI work at Block.

You will operate at the intersection of data engineering, data science, people analytics, and agentic AI, hands-on enough to build the connective tissue yourself and guide cross-functional collaboration.

Qualifications

• 8+ years of relevant experience.
• Experience building data pipelines (SQL, python, dbt/Airflow or similar, cloud data warehouses).
• Solid data science foundation — statistics, ML, experiment design.
• Working knowledge of people/HR data and the sensitivity, ethics, and nuance it demands.
• Hands-on experience with LLMs and agentic frameworks — building automations, prompts, tool-use, and evaluation loops.

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 a focus on quality, lineage, privacy, and governance of sensitive workforce data.
• Build predictive and diagnostic models (attrition, hiring funnel health, org network analysis, compensation equity, workforce planning).
• Translate ambiguous people questions into rigorous, defensible analyses — and translate results back into decisions leaders can act on.
• Partner on our semi-annual employee engagement survey — from instrument design and data collection to analysis, driver identification, and turning results into actionable insight for leaders.
• Design and deploy AI agents and automations that operationalize insight: monitoring signals, generating reports, drafting recommendations, and triggering workflows without manual effort.
• Establish the guardrails, evaluation, and human‑in‑the‑loop patterns that make agentic systems safe and trustworthy on sensitive data.
• Own the architecture that ties pipelines, models, and agents into one coherent system — and continuously evolve it as tools and needs change.
• Set the technical direction and standards for People data and AI, and raise the bar through code review, design docs, and mentorship of peers.
• Partner with People, Data Platform, Security, and Legal to ensure the system is compliant, scalable, and genuinely useful.

Skills

Data pipelines

SQL

Python

Data science

LLMs

Agentic AI

Systems thinking

Communication

Tools

Airflow

dbt

Job description

Block is seeking a senior individual contributor to own and build our end-to-end people data ecosystem, from raw pipelines to predictive models and agentic workflows. You will design architecture, write production code, and set the technical bar for how People data and AI work at Block.

You will operate at the intersection of data engineering, data science, people analytics, and agentic AI, hands-on enough to build the connective tissue yourself and guide cross-functional collaboration.