Sr. Channel Strategist (Web Experimentation & Personalization)

Locations :

Austin, Texas, United States of America

Vancouver, British Columbia, Canada

Vancouver - Great Northern Way, British Columbia, Canada

Galway, Ireland

Role ID: 212052

Worker Type: Regular Employee

Studio/Department: Fan Growth

Work Model: Hybrid

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.

We’re hiring a Web Experimentation Strategist to drive the design, execution, and analysis of experiments that shape the EA Help web experience. The Senior Channel Strategist (Web Experimentation & Personalization) will use Optimizely to test and personalize digital experiences, help fans get the right help faster, and deepen engagement across EA’s support ecosystem.

In this role, you’ll turn hypotheses into measurable experiments, advise on test design to ensure validity and statistical significance, and help partners translate learnings into next steps. You’ll partner closely with Product, Engineering, and Analytics teams to build a culture of test-and-learn, establish governance standards, and ensure we stay within platform usage limits.

This role turns experimentation into personalization, making every web experience more responsive to who the fan is and what they need.

Responsibilities

Build the experimentation program for EA Help—designing, setting up, and managing A/B and multivariate tests in Optimizely.

Define and maintain experimentation governance, including test intake, prioritization, and documentation processes to ensure consistent, scalable execution.

Advise on experiment design to ensure tests are statistically valid and align with business goals.

Set up and launch experiments directly in Optimizely, or partner with Engineering for server-side or complex technical implementations.

Analyze and interpret experiment results, producing actionable insights, business narratives, and recommendations for next steps.

Develop personalization strategies using segmentation, targeting, and behavioral data to tailor content to specific fan groups or individuals.

Integrate qualitative research and fan feedback to validate hypotheses and enrich quantitative findings.

Pilot new workflows, tools, or automations that improve experimentation velocity, reliability, and transparency.

Foster a "learn fast" mindset, normalizing failed tests as valuable learning and celebrating insights as much as wins.

Collaborate cross-functionally with Product, Analytics, and Content teams to identify and prioritize opportunities for testing and personalization.

Track and report on the performance, adoption, and impact of experimentation across initiatives.

Monitor platform usage to ensure we stay within monthly active user (MAU) limits and avoid overage charges.

Stay informed on AI-driven user experiences and explore opportunities to leverage AI for experimentation, personalization, and insights generation.

Champion experimentation culture, coaching partners and team members to use data to inform design and content decisions.

Skills and Experience

3-7 years of relevant experience in a CXor marketing environment.

2+ years of experience in digital experimentation, optimization, or personalization, ideally on large, consumer-facing websites.

Hands-on experience with Optimizely (required) – including test setup, targeting, results analysis, and QA.

Strong understanding of A/B testing methodologies, experiment design, sample sizing, and statistical models (Bayesian, Sequential, Frequentist).

Experience using experimentation for segmentation, personalization and experience optimization, not just conversion testing.

Ability to synthesize qualitative and quantitative data to identify insights and drive recommendations.

Ability to turn complex data into clear, actionable insights for technical and non-technical audiences.

Awareness of data privacy and compliance frameworks (GDPR, consent management, accessibility standards).

Comfortable working with Product, Engineering, and Design teams.

Highly organized, with the ability to manage multiple concurrent experiments with attention to accuracy and timelines.

Passion for continuous improvement, data-driven learning, and helping fans get the best possible experience.

Bonus:

Familiarity with behavioral psychology or conversion science principles.

Experience with SQL or Python for deeper data analysis.

Exposure to server-side experimentation or API-driven personalization.

Experience with Google Analytics, GTM, and Contentful integrations.

Experience applying AI tools or models to optimize experiments, personalize experiences, or generate test hypotheses.

Pay Transparency – North America
Compensation and Benefits

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

Pay ranges are not explicitly listed, but compensation and benefits include vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.

Equal Opportunity Employer
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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