Hybrid People Data Architect, Data Science

at Gen

• Job title: People Data Architect, Data Science
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $170,000 - $200,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Amazon Redshift, ETL, SQL, Tableau
• Location requirements: Hybrid, New York City, United States

About the role

• People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data-driven decision-making.

Responsibilities

• Own and evolve the end-to-end people data architecture, including warehouse environments, ETL/ELT pipelines, data models, and governance.
• Maintain a single source of truth for workforce metrics with standardized definitions, consistent logic, and strong data quality controls.
• Lead the development, deployment, and maintenance of dashboards, reports, and analytics products that drive actionable insights for HR and business leaders.
• Enable governed, secure, and intuitive self-service BI capabilities across the P&C organization.
• Partner closely with People Operations, HRBPs, CoEs, IT, and Finance to ensure data alignment, integration, reconciliation, and system optimization.
• Monitor data quality, platform performance, and user experience; implement continuous improvements.
• Support foundational AI-readiness by structuring and documenting clean, high-quality people data assets.
• Design dimensional models and curated data sets to support reporting, predictive analytics, and workforce planning.
• Build scalable ETL/ELT pipelines using modern data engineering tools (e.g., dbt, Fivetran, Airflow).
• Administer the BI platform (e.g., Tableau, Power BI, Looker), including governance, permissions, semantic layers, and performance optimization.
• Develop advanced analytics solutions such as headcount forecasting, attrition modeling, compensation analysis, and talent flow insights.
• Transform raw data into business-ready assets, enabling reporting, storytelling and decision support for senior executives.
• Establish data governance practices, including metadata, lineage, definitions, and role-based access control.
• Serve as a technical advisor for emerging use cases in AI, automation, and predictive analytics within the HR ecosystem.

Requirements

• 5+ years of experience in data engineering, BI development, workforce analytics, or a related quantitative discipline.
• Hands-on experience designing and managing data warehouses, ETL/ELT pipelines, and dimensional data models.
• Proficiency with SQL and modern data stack tools (Snowflake, Redshift, or similar).
• Experience administering and developing in enterprise BI tools (Power BI, Tableau, or Looker).
• Strong understanding of HR data structures (Workday, ATS, performance, compensation, learning, etc.).
• Ability to translate business questions into data models, analytical approaches, and dashboards.
• Demonstrated strengths in data governance, quality, and documentation.

Benefits

• 401(k) match
• health insurance options
• disability coverage
• life insurance
• unlimited paid time off