Quality Expert - Data Analytics, Lead

Electronic Arts creates next-level entertainment experiences that inspire players and fans worldwide. As a Quality Expert - Telemetry Lead at EA - KL (onsite in Malaysia), reporting to the Development Director, you will lead telemetry strategy and data frameworks across Apex Legends.

Responsibilities

Automation Strategy and Implementation

• Drive the implementation and continuous improvement of telemetry methodology, ensuring data standards and instrumentation practices are reliable and scalable across teams.
• Lead the integration of telemetry into the SDLC, ensuring early quality insights and validation.
• Guide the use of AI/ML models to detect anomalies, predict defects, and create applicable insights from telemetry data.

Quality and Data Analysis

• Compile and interpret data from multiple sources into cohesive summaries that communicate quality status, trends, and risk.
• Use telemetry-driven insights to prioritize testing, focus on high-impact areas, and improve product quality outcomes.
• Implement predictive analytics to identify quality risks early and promote defect prevention at source.

Collaboration and Communication

• Partner with QV, Development, and Data teams.
• Align telemetry coverage and data logic, instrumentation standards, and pipeline frameworks, ensuring data reliability and consistency between quality telemetry and broader data strategy.
• Translate complex telemetry data into meaningful insights for non-technical team members.

Mentorship and Team Support

• Lead improvements and knowledge sharing across multiple teams
• Mentor and support team members in implementing quality strategies and professional growth

Qualifications

• 8+ years of experience in telemetry, data analytics, or quality technology leadership, leading data strategy at scale.
• Experience building, evolving, and maintaining telemetry frameworks supporting quality and product insight.
• Experience defining and implementing data instrumentation standards and telemetry pipelines in live or large-scale products.
• Background in data analysis, automation, or AI/ML to allow predictive and prescriptive quality insights.
• Experience mentoring others to develop technical and analytical skills.
• Understanding of game development lifecycles, system architecture, and risk-based quality approaches.
• Familiarity with Power BI, Tableau, Grafana, or equivalent visualization tools
• Experience with CI/CD integration for telemetry pipelines