Senior Manager, Data Science
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Apply to Senior Manager, Data Science at Electronic ArtsJob details
- Location
- Redwood City, California
- Work type
- Hybrid
- Compensation
- $165,000 - $256,000/yr
- Posted
- yesterday
- Apply on
- jobs.ea.com
About this role
Description & Requirements
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.
Description & Requirements
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 professional growth with operational excellence.
Enable Autonomy: Empower team members by creating standardized frameworks that allow them to operate independently across their respective title portfolios.
Qualifications
Experience: [7-8+] years of progressive experience in analytics, data science, or performance marketing analytics, within gaming, mobile applications, or high-scale consumer digital products. [2-3+] years of experience managing data professionals, and influencing senior executives.
Portfolio Expertise involves experience or deep familiarity with the mechanics of high-volume User Acquisition (UA). This expertise also includes retargeting, LTV modeling, and multi-channel attribution across different platforms (Mobile or Console/PC).
Technical Credibility: Foundation in SQL, data visualization tools (e.g., Looker, Tableau), and statistical evaluation (A/B testing, experimentation frameworks). We value Python or R proficiency.
The "Scale" Mindset: Experience with building processes and frameworks that scale, with an interest in using AI/LLMs or automated tools to maximize team efficiency.
Note on Core Philosophy: We believe the best analysts shouldn't spend their days fighting formatting or repeating basic queries. We are looking for a leader who values operational efficiency just as much as deep strategic insights, ensuring our team is always focused on the most engaging, work.
Description & Requirements
Description & Requirements
Description & Requirements
* California (depending on location e.g. Los Angeles vs. San Francisco) *$165,000 - $256,000 USD