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.