This role goes beyond delivering within existing patterns. You'll improve foundational modeling decisions, reducing rework, and establishing standards that scale.

Responsibilities

• Design and build core analytical data models in BigQuery using dbt
• Refactor and restructure existing models to improve clarity, consistency, and ease of use
• Partner directly with solution teams to translate business needs into well-defined, reusable data models
• Define and enforce modeling standards, conventions, and layer contracts
• Standardize identifiers and business logic early in the transformation layer to reduce downstream complexity
• Centralize shared business rules and definitions to enable consistent, trusted analytics
• Explore and apply AI-assisted approaches, to improve analytics workflows

Requirements

• Strong expertise in Python and SQL and analytics data modeling
• 5+ years of experience in analytics engineering, data engineering, or a related role
• Hands-on experience designing analytics layers in BigQuery and dbt
• Proven ability to create analyst-friendly data models with clear structure and predictable behavior
• Experience setting standards and influencing how data is modeled and consumed across teams
• Strong analytical thinking and problem-solving skills
• Clear written and verbal communication skills

Bonus Points

• Experience working in a distributed or remote-first environment
• Familiarity with metric definitions, or semantic layers
• Experience applying AI or automation to analytics or data modeling workflows

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD.

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At Electronic Arts, we're driving the strategy and implementation of important initiatives for EA's players to connect them to one another and to the games they love to play. These initiatives include the EA app and Franchise-specific webstores.

As a Product Manager for Player Relationship Management, you will be the strategic architect of the player lifecycle. You will build systems that foster deep, long-term relationships with our global community. Your mission is to turn every player interaction into a meaningful, personalized experience that drives loyalty and growth.

Responsibilities

• Lifecycle Strategy: Own the end-to-end player lifecycle strategy, focusing on deeper engagement, retention, and monetization.
• CRM & Automation: Define the roadmap for player-facing CRM tools, automated messaging, and bespoke experiences (e.g. VIP) for our most engaged community.
• Data-Driven Personalization: Sophisticated player segmentation targeting and personalized game content.
• Cross-Functional Collaboration: Collaborate with Marketing and Game Studios to ensure events and communication plans are aligned with key in-game and regional moments.
• Experimentation: Design and execute A/B tests on engagement features, reward structures, and notification strategies to optimize player lifetime value (LTV).

Qualifications

• Experience: 3-5 years of Product Management experience, ideally within gaming.
• Domain Expertise: Understanding of consumer/user lifecycle, and/or CRM systems.
• Analytical Rigor: Metric definitions, analytical tooling and interpretation of complex behavioral data and trends.
• Communication: Ability to translate complex technical or data insights into actionable strategies for both creative and technical teams.

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