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Senior Manager, Data Science

Electronic Arts
Redwood City, United Statesfull_timeVerifiedPosted 21 Jul 2026

About the role

通用信息

地点:Redwood City, California, United States of America 
角色 ID
215701
工作人员类型
Regular Employee
工作室/部门
CT - Data & Insights
弹性工作安排
Hybrid

Description & Requirements

Electronic Arts 打造更高层次的娱乐体验,激励世界各地的玩家和粉丝。在这里,每个人都是故事的主角。活跃社群,畅联全球。这里充满创造力,鼓励新观点,注重好创意。这是一支人人都能让游戏成为现实的团队。

The Enterprise Intelligence (E&I) team transforms data into relevant insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization, experimentation and analytics; partner across teams to improve decisions and create more meaningful player experiences.

As the Senior Manager of Marketing Analytics, reporting to the Director, Data Science, you will occupy a critical, central vantage point managing a team of 6 analysts. This vantage point will guide the analytical strategy for user acquisition (UA) and retargeting across our vast portfolio of both Mobile and HD titles.

You are a master translator of data, someone who can look at complex performance metrics across diverse platforms and distill them into decision-ready narratives for executive leaders. While you won't manage data pipelines or engineering architecture, you have deep technical empathy and credibility. You know how to establish scalable analytical frameworks and operational processes that automate the mundane. This frees up your team of 6 analysts to focus on what they do best: driving, creative marketing strategies.

You will be the perfect intersection of strategic partnership, rigorous methodology design, and team development.

Main Responsibilities

Strategic Data Storytelling & Influence

  • Guide the Narrative: Act as the primary strategic partner to Marketing and Portfolio leadership, translating complex UA, retargeting, and ROAS data into applicable recommendations.

  • Establish the Standard: Set the bar for analytical rigor, experiment design, and data-driven business reviews, and improve marketing budgets across HD and Mobile.

  • Dig Into the Weeds: Maintain the technical depth required to field high-stakes questions from leadership, explaining your team's models and methodologies.

Scalable Operations & Process Modernization

  • Automate the Mundane: Design and strengthen scalable, repeatable analytics workflows and measurement frameworks that eliminate manual friction, ensuring you spend the team's time on high-value problems.

  • Champion Modern Capabilities: Identify opportunities to use AI, machine learning, and advanced automation tools within the analytics workflow to increase team productivity and accelerate speed-to-insight.

  • Collaboration: Partner with Data Engineering and MarTech teams to ensure the data ecosystem supports marketing analytics requirements without managing the underlying plumbing yourself.

People Leadership & Coaching

  • Nurture Talent: Lead, coach, and inspire a high-performing team of 6 analysts, balancing pr

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Company

Electronic Arts

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