Sr. Product Manager, AI Powered Analytics - Data and Insights (D&I)

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.

The Data & Insights (D&I) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences.

Responsibilities:

• Define and improve the vision for AI-powered insights platforms, partnering with the team to support data-driven improvements across multiple teams.
• Collaborate with engineering, data science, and analytics partners to build and deliver AI/ML solutions that increase our ability to make informed decisions.
• Gather and prioritise product requirements by using customer feedback, product usage data, and experimentation to identify new opportunities for the team.
• Evaluate new AI tools and technologies, helping the team make build vs. buy decisions and align our AI product strategy with broader data and platform initiatives.

Qualifications:

• 5+ years of product management experience with AI/ML or analytics platforms in gaming, entertainment, or technology sectors.
• Experience partnering with engineering and data science teams to launch AI-powered products such as predictive analytics or decision-support tools.
• Experience gathering and prioritising requirements using customer feedback, product usage data, and experimentation to improve products.
• Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent practical experience.

Bonus:

• Experience with agentic systems, decision intelligence, or AI-driven automation workflows
• Familiarity with modern data transformation tools (e.g., DBT or Alation)
• Experience with gaming and live service analytics
• Background in GenAI / LLM-based applications and conversational analytics
• Experience building or scaling AI platforms in enterprise environments