Senior Manager of Data Engineering and AI Automation, Business Systems

8+ years of professional experience in data engineering, analytics engineering, or related technical roles 3-5+ years of engineering management experience, leading teams of 3-10+ engineers Expert-level Python and SQL skills Hands-on experience building and scaling data pipelines using modern orchestration tools (Airflow, or similar) Deep understanding of data modeling, dimensional modeling, and data warehouse design patterns Experience with batch and stream processing using Spark, Flink, or similar distributed computing frameworks Proficiency with cloud data platforms (AWS, GCP, or Azure) Strong experience with BI and analytics tools (Looker, Tableau or similar) ETL/ELT development experience with tools like Fivetran, dbt, or custom frameworks Working knowledge of retail financial data Familiarity with HR data models Experience integrating with ERPs (Oracle Fusion, NetSuite, Workday or others) and connected planning tools Understanding of SOX (Sarbanes-Oxley) compliance and IT general controls (ITGCs) Experience implementing data controls, audit trails, and access management for financial and HR systems Exceptional cross-functional communication skills Strong prioritization skills with business impact and ROI in mind Experience working autonomously and taking ownership of complex projects

Lead and mentor data engineers and automation specialists Build and own end-to-end data solutions (ETL/ELT, orchestration, metrics, data models) Establish and evolve automation and Gen AI frameworks for Finance and HR Ensure financial data integrity and compliance with SOX, GDPR, CCPA Collaborate with business leaders and engineering partners Shape team's strategic roadmap and investment priorities Provide direct support to business partners