As the initial QA owner, you will design, execute, and report on test cycles for enterprise applications and integrations. You will also define and implement QA operating rhythms and governance, including test plans, entry/exit criteria, defect triage, release readiness, and post-release validation.

Key responsibilities include:

• Building and owning the QA strategy for Enterprise Technology, including standards, test planning, and quality gates across the delivery lifecycle.

• Operating hands-on as the initial QA owner: design, execute, and report on test cycles (functional, integration, regression, and UAT support) for enterprise applications and integrations.

• Defining and implementing QA operating rhythms and governance: test plans, entry/exit criteria, defect triage, release readiness, and post-release validation.

• Partnering with product and delivery teams to translate requirements and user stories into testable acceptance criteria and comprehensive test coverage.

• Establishing and maintaining a QA toolchain (test case management, defect tracking, and reporting) and integrating it with existing delivery tooling where applicable.

• Driving integration and end-to-end testing across enterprise platforms, including but not limited to Salesforce, NetSuite, Workday, MuleSoft/integration layer, MES touchpoints, analytics platforms, Slack/Confluence, DocuSign, and Ashby.

• Designing and maintaining regression testing approaches to minimize production defects as systems scale and change velocity increases.

• Implementing lightweight automation where it adds clear value, prioritizing maintainability and high-impact regression coverage.

• Ensuring documentation, auditability, and traceability from requirements through testing and release, aligned with change management and internal control expectations.

• Tracking and communicating quality metrics (defect trends, test coverage, escape rate, cycle time) to drive continuous improvement.

The ideal candidate will have 7+ years of experience in Quality Assurance, Test Engineering, or QA leadership roles supporting enterprise technology products and integrated systems. They will also have demonstrated experience building or formalizing QA processes and operating models in a growing or scaling organization.

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This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >4 years, 2 years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2 years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Defect management
• Triage & Classification
• Defect Monitoring
• Resolution Management
• RCA
• Data Analysis
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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The Quality Designer (QD) will join us on the SONAR team in a hybrid work schedule consisting of 5 onsite days weekly. SONAR is a centralized organization in EA focused on Production services. Our mission is to Safeguard the in-game player experience by validating the transition from Integration to Production and continuing into Live Service.

As a QD, you will be an important part of our development process and contribute to the quality of our games in a meaningful way. You will demonstrate a sound technical platform and game knowledge, have a quality-focused mindset and efficient partnership. The QD will also own test coverage on client and server releases, ensuring accurate results, and confirming the success of a release - running and outline retrospectives on Live Support.

Your Responsibilities

Quality Strategy and Test Planning

• Architect comprehensive test plans, including scope, scheduling, execution, and reporting.
• Integrate telemetry, data analytics, and AI/ML capabilities to enhance test insight.
• Implement automation opportunities across feature sets and workflows.
• Ensure test coverage supports rapid iteration and high-quality live releases.

Strategic Quality Leadership

• Define and lead Live Quality strategies across multiple projects.
• Collaborate with product owners and technical leads to identify risks and develop mitigation plans.
• Influence teams to adopt best practices in quality assurance and live service testing.
• Guide agreement on quality goals across distributed teams and partners.

Data-Driven Quality Analysis

• Summarize data from diverse sources into applicable insights.
• Translate metrics into strategic decisions that improve player experience and release stability.
• Champion the use of risk-based and data-driven testing methodologies.

Cross-Team Collaboration and Communication

• Be the primary quality advocate in meetings.
• Communicate status, risks, and recommendations through clear, data-backed reporting.
• Foster relationships with partner teams across SONAR and EA franchises.
• Guide and support test execution teams across global locations.

Mentorship and Capability

• Mentor Associate Quality Designers and other team members in quality strategy.
• Lead knowledge-sharing programs and process improvements across the Live QV team.
• Promote a culture of learning, innovation, and excellence in quality practices.

Our Requirements

Experience

• 5+ years experience in software development, quality assurance, or game development.
• Experience leading quality programs and collaboration.
• Proficiency with automated testing frameworks and tools.
• A background in defect prevention, containment, and early QA involvement.
• Experience with telemetry, data analytics, or AI/ML in testing.
• Familiarity with back-end systems and server hosting infrastructure.

Skills

• Proclivity for planning
• Data analysis
• Influence across teams
• Mentorship and leadership capabilities
• Expertise in defect management and quality metrics
• Proficiency with tools such as JIRA, TestRail, and automation platforms

EA Bogota Benefits

• Health Benefits - Medical insurance, dental insurance, life insurance, global fitness benefit ($500 USD per year), and mental wellbeing plan.
• Professional Development - Training and development programs, opportunities for career advancement and tuition reimbursement
• Work-Life Balance - 15 vacation days, paid holiday closure and paid sick leave
• Meaningful Work - Opportunity to directly contribute to the development of EA titles
• Additional Perks - Meal card ($400,000 COP per month), game credits and console reimbursement program
• and more!

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

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