VP Data Engineer - People Analytics
Core
Design and operate the enterprise People data platform to support workforce analytics, AI-enabled insights, and data-driven People solutions.
Role type
VP Data Engineer (People Analytics)
Builds
Enterprise-grade data foundation, AI-native workforce intelligence capability, and scalable data assets for reporting and AI applications.
Domain
HR Technology / People Analytics / Artificial Intelligence
Required skills
Data engineering, analytics engineering, platform engineering, SQL, data modeling, data architecture, cloud data platforms, lakehouse architectures, data pipeline orchestration, testing, monitoring, data governance, metadata management, lineage tracking, data quality frameworks, AI solution implementation, AI risk management, ethical governance.
Preferred skills
Workday data extraction (RaaS, WQL, Core Connectors), effective-dated HCM data models, semantic layers, knowledge graphs, AI-ready data architectures, Microsoft Fabric, Azure Data Platform, Databricks, Power BI semantic models.
Technologies
Azure, Databricks, Fabric, Power BI, SQL
Responsibilities
Design and maintain the People Analytics lakehouse and data architecture; develop and optimize data ingestion and transformation pipelines from HR and related source systems; build and maintain canonical datasets including the enterprise worker spine; establish consistent data models, metric definitions, and semantic layers; implement data quality testing, lineage tracking, and certification processes; partner with People Data Product Owners to translate business requirements into scalable data assets; collaborate with Privacy, Risk, Legal, and Security teams to ensure governance standards.
Seniority
VP, strategic leadership & hands-on IC
