Senior Manager, Data Science
Electronic ArtsAbout the role
通用信息
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 pr
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