Teams at Penn Interactive

Build and optimize data transformation pipelines using SQL, dbt, Airflow, Python, BigQuery, and relational databases. Collaborate with stakeholders and data engineers, manage task scheduling, resolve data issues, perform analyses, present recommendations, support data exploration tool adoption, and mentor team members. The role also contributes to hiring, onboarding, and professional development while ensuring data accuracy and insight quality.

Build and validate transformed data, develop dbt models, manage Airflow scheduling, and support data pipelines. Analyze data and present recommendations to stakeholders, ensure insight accuracy, implement data exploration tools, and mentor team members. The role requires collaboration across business and engineering teams, strong SQL expertise, and experience with BigQuery, dbt, Airflow, Python, and relational databases.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, discovery and intake processes, vendor relationships, delivery alignment, KPIs, and continuous improvement efforts. Evaluate AI-supported solutions and ensure automation initiatives meet business, compliance, technical, and operational objectives.