Assistant Producer - Football Data Management

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Location: Cologne Reports to: Assistant Producer III Join us at Electronic Arts Germany and help inspire the world to play. The Assistant Producer I – Data Management within the Data Collection & Licensing (DC&L) team for EA SPORTS FC will help bring real-world football into the game. By combining football expertise with database research to deliver authentic player and team information, you will support assigned leagues under the guidance of experienced data owners and build your expertise as you develop greater independence over time.

You will report to an Assistant Producer III and work in a hybrid model, three days per week onsite in Cologne.

Responsibilities

Follow assigned leagues and coordinate player and team data updates within agreed production schedules. Data Quality & Authenticity: Verify player information, appearance, and preferences. Review attributes, Play. Styles, squad composition, formations, and tactics to reflect real-world football. Football Research: Track matches, transfers, and player performances.

Share findings on players with our team. Production Coordination: Track tasks, document changes, identify data issues, and report delays to the relevant data owners. Collaboration & Improvement: Work with our producers, data editors, Game Design, Engineering, and QA teams to resolve data issues and improve workflows. Required Qualifications Relevant Experience: 1–2 years in data management, production coordination, football research, or related projects.

Football Knowledge: Knowledge of professional football, including major leagues, transfers, player roles, and tactical formations. Data Research: Experience comparing sources, identifying conflicting information, and documenting findings. Technical Skills: Experience using Excel (can maintain complex spreadsheets) or Google Sheets to organize and compare data, plus familiarity with AI-assisted tools.

Organization & Communication: Ability to track assigned work against agreed delivery dates and share findings in written and spoken English.