Teams at Penn Interactive

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.

Supports 24/7 risk and trading operations for online sports betting platforms. Responsibilities include assisting traders, configuring sports and competition setups, testing and monitoring app functionality, conducting compliance checks, reviewing betting content, monitoring pre-game and in-play markets, communicating with data providers, and helping resolve customer experience issues. Requires strong sports knowledge, computer proficiency, clear communication, and availability for evenings, weekends, and holidays.