Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.
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.
The Sr. Product Manager will report to the Director of Product.
Responsibilities:
You will define and improve the vision for AI-powered insights platforms, partnering with us to support data-driven improvements across multiple teams.
You will collaborate with engineering, data science, and analytics partners to build and deliver AI/ML solutions that increase our ability to make informed decisions.
You will gather and prioritize product requirements by using customer feedback, product usage data, and experimentation to identify new opportunities for us.
You will evaluate new AI tools and technologies, helping us 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 prioritizing 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