Senior Manager, QA Automation Support

Role Overview

As part of the Product and Engineering team within the Digital Products & Engineering tower of the Global Digital Network, the Senior Manager, QA Automation Support plays a critical role in enabling quality, reliability, and speed acrossCoca-Cola’sprioritizeddigital product portfolio. This roleleadsthe execution and continuous improvement of quality automation capabilities that support product teams in delivering secure, scalable, andbusiness-criticalsolutions.

The role partners closely with product managers, engineers, platform teams, and delivery leaders to embed automated quality practices across the product lifecycle. Success in this position requires strong technical leadership, a product mindset, deepexpertisein test automation, and the ability to advance modern engineering practices that accelerateCoca-Cola’sdigital transformation.

What You will do for us

• Own day-to-day quality engineering support for multiple digital product teams, ensuring automated quality controls are embedded across the software development lifecycle.

• Serve as the primary escalation point for automation test failures, release-quality issues, and engineering teamsrequiringquality supportexpertise.

• Develop andmaintainautomated testing frameworks supporting web, mobile, API, integration, and platform-based products.

• Partnerwith Product Managers, Software Engineers, Platform Engineering, and Release Management teams to proactivelyidentifyquality risks and implement preventative controls.

• Perform root-cause analysis on recurring defects, release incidents, and production quality issues, driving corrective and preventive actions.

• Identifyquality risks early and collaborate with teams to mitigate business, operational, and customer impacts.

• Establish dashboards and reporting mechanisms that provide visibility into automation coverage, release readiness, defect leakage, test execution effectiveness, and quality trends.

• Contribute to enterprise engineering standards for automation, test data management, environment strategy, and quality tooling.

• Build reusable assets and best practices that improve engineering productivity.

• Evaluate emerging AI-enabled testing capabilities and automation innovations that improve efficiency and quality outcomes.

• Partner with product and engineering teams to integrate quality automation into agile and product-centric delivery models.

• Drive test automation adoption across development pipelines to improve release quality, speed, and predictability.

• Monitor quality metrics, automation coverage, test effectiveness, and defect trends to support data-driven decision making.

• Enable continuous testing practices within DevOps and continuous integration/continuous deployment environments.

• Support implementation of AI-enabled quality engineering approaches to increase efficiency and accelerate delivery outcomes.

Requirements and Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field.

• 5 years of experience in quality engineering, software testing, or test automation.

• Experience leading QA automation initiatives across complex digital products and platforms.

• Strong knowledge of automation frameworks, test management practices, and software development lifecycles.

• Experience with DevOps, CI/CD pipelines, cloud-native technologies, and modern engineering environments.

• Knowledge of API, integration, performance, and end-to-end automation testing approaches.

• Demonstrated ability to analyze quality metrics and drive continuous improvement outcomes.

• Strong stakeholder management, communication, and cross-functional collaboration skills.

• Familiarity with modern engineering ecosystems including cloud platforms, DevOps toolchains, and AI-enabled quality engineering technologies.

• Experience working within agile product delivery organizations.