Gen · 5 hours ago
People Data Architect (Data Science)
USA - New York, New York
Full-time
Hybrid
Senior Level
$170K/yr - $200K/yr
5+ years expGen is a technology solutions company focused on empowering individuals to manage their digital and financial lives. They are seeking a People Data Architect who will be responsible for designing and maintaining the people data ecosystem to deliver data-driven insights and enhance decision-making across the organization.
Cyber SecurityDigital MediaInformation Technology
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
Qualification
Required
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
Preferred
Experience supporting People/HR functions in a global, multi-system environment
Familiarity with Python or R for advanced analytics or automation
Knowledge of machine learning concepts or predictive modeling related to workforce data
Experience enabling self-service analytics at scale
Exposure to AI tools or HR technology transformation initiatives
Background in storytelling, consulting, or executive-level insights delivery
Benefits
401(k) match
Health insurance options
Disability coverage
Life insurance
Unlimited paid time off
Company
Gen
Gen is a cybersecurity company that offers security, identity protection, and privacy solutions.
5001-10000 employees
H1B Sponsorship
Gen has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
2023 (2)
2022 (1)
2021 (2)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$950M2025-02-13Post Ipo Debt· $950M
2022-11-08IPO
Leadership Team
Rich Matta
General Manager and Head of ReputationDefender
Recent News
2025-12-09
Morningstar.com
2025-12-08
2025-12-05
Company data provided by crunchbase