Manager, Data Engineering and Analytics
Core
Technical leader delivering foundational data infrastructure, automated pipelines, and analytics solutions for incentive compensation and HR systems.
Role type
Manager, Data Engineering and Analytics
Builds
Scalable data pipelines, data models, and automated workflows for HR analytics and AI/ML initiatives.
Domain
Financial services / Human Resources Technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Complex SQL query optimization, ETL/ELT workflow design, dimensional data modeling, AI/ML data literacy, business process analysis, technical documentation
Preferred skills
Cloud data platforms (Databricks, Snowflake, BigQuery), Enterprise HR systems (Workday, SAP SuccessFactors), Agile Scrum delivery, Data engineering certifications
Technologies
SQL, Python, dbt, Airflow, Databricks, Hadoop, MongoDB, Snowflake, BigQuery, Redshift, Workday, SAP S4/HANA, SAP SuccessFactors
Responsibilities
Lead end-to-end business and systems analysis for data projects, design and validate foundational data layers and architecture, build and optimize automated data pipelines, query and analyze data to validate integrity, support AI/ML solution development by translating business rules, design automated data processing workflows, bridge business and technical teams, document data infrastructure and governance, identify process efficiency opportunities
Seniority
Manager, technical leadership & delivery
