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 across Coca‑Cola’s prioritized digital product portfolio. This role leads the execution and continuous improvement of quality automation capabilities that support product teams in delivering secure, scalable, and business‑critical solutions.

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, deep expertise in test automation, and the ability to advance modern engineering practices that accelerate Coca‑Cola’s digital 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.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.