People Intelligence Architect

About the Role

<p>Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.</p> <h4><strong>The Role</strong></h4> <p>We're looking for a cross-disciplinary builder to own how our people data ecosystem comes together — from raw pipelines to predictive models to the agentic workflows that put insight into action. This is not a traditional People Analyst role. You won't just answer questions with dashboards; you'll design and build the end-to-end system that makes People data trustworthy, intelligent, and increasingly autonomous.<br><br>This is a senior <strong>individual contributor</strong> role. You'll lead through technical depth and craft rather than headcount — designing architecture, writing production code, and setting the technical bar for how People data and AI work at our company.<br><br>You'll operate at the intersection of <strong>data engineering</strong>, <strong>data science</strong>, <strong>people analytics</strong>, and <strong>agentic AI</strong> — fluent enough in each to see how the whole system connects, and hands-on enough to build the connective tissue yourself.</p> <h4><strong>You Will</strong></h4> <ul> <li>Design, build, and maintain reliable data pipelines that unify people data across HRIS, ATS, performance, compensation, and engagement systems.</li> <li>Model data for analytics and ML use, with a focus on quality, lineage, privacy, and governance of sensitive workforce data.</li> <li>Build predictive and diagnostic models (attrition, hiring funnel health, org network analysis, compensation equity, workforce planning).</li> <li>Translate ambiguous people questions into rigorous, defensible analyses — and translate results back into decisions leaders can act on.</li> <li>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.</li> <li>Design and deploy AI agents and automations that operationalize insight: monitoring signals, generating reports, drafting recommendations, and triggering workflows without manual effort.</li> <li>Establish the guardrails, evaluation, and human-in-the-loop patterns that make agentic systems safe and trustworthy on sensitive data.</li> <li>Own the architecture that ties pipelines, models, and agents into one coherent system — and continuously evolve it as tools and needs change.</li> <li>Set the technical direction and standards for People data and AI, and raise the bar through code review, design docs, and mentorship of peers (leading by influence, not by managing a team).</li> <li>Partner with People, Data Platform, Security, and Legal to ensure the system is compliant, scalable, and genuinely useful.</li> </ul> <h4><strong>You Have</strong></h4> <ul> <li>8+ years of relevant experience</li> <li>Proven experience building <strong>data pipelines</strong> (SQL, Python, dbt/Airflow or similar, cloud data warehouses).</li> <li>Solid <strong>data science</strong> foundation — statistics, ML, experiment design, and the judgment to know when a simple model beats a complex one.</li> <li>Working knowledge of <strong>people/HR data</strong> and the sensitivity, ethics, and nuance it demands.</li> <li>Hands-on experience with <strong>LLMs and agentic frameworks</strong> — building automations, prompts, tool-use, and evaluation loops.</li> <li>Strong systems thinking: you see how components