Director, QA Automation Support

Role Overview

The Director, QA AutomationSupportprovides strategic leadership for quality engineering and test automation capabilities across Digital Products & Engineering. This role is accountable forestablishingscalable QA automation strategies that enable high-quality, secure, and resilient digital products while accelerating value delivery throughout the enterprise.

The Director partners with engineering, product, platform, data, and architecture leaders to embed quality engineering as a core capability ofCoca-Cola’sdigital growth engine. The role shapes standards, drives modernization, and ensures quality practices support enterprise scale, innovation, and measurable business outcomes.

What You will do for us

• Define and lead the QA automation support strategy across product and engineering portfolios.

• Establish enterprise standards, governance models, and operating practices for quality engineering.

• Drive adoption of automation-first testing approaches that improve speed, reliability, and customer experience.

• Partner with engineering leaders to integrate quality practices throughout product development anddeliverylifecycles.

• Advance AI-enabled quality engineering capabilities and intelligent automation opportunities.

• Measure and improve quality performance through enterprise metrics, reporting, and continuous improvement programs.

• Drive quality transformation initiatives that support product-centric and domain-based ways of working.

• Influence engineering investment priorities related to testing, automation platforms, and quality tooling.

• Build organizational capability through coaching, talent development, and community leadership.

• Collaborate across global teams to standardize quality practices while enabling business agility.

Requirements and Qualifications

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

• 8 years of experience in software quality engineering, automation, and technology delivery environments.

• Significant experienceleading enterprise-scale QA automation programs.

• Proven success defining quality strategies supporting complex digital product ecosystems.

• Deepexpertisein test automation frameworks, quality platforms, DevOps, and CI/CD practices.

• Expert-level analytical and problem-solving capabilities; adept at complex data interpretation and risk assessment.

• Experience influencing senior technology and business stakeholders.

• Strong understanding of cloud technologies, digital platforms, and modern engineering methodologies.

• Demonstrated digital, data, and AI fluency relevant to enterprise technology transformation.

• Experienceestablishinggovernance, standards, and performance management frameworks.

• Excellent leadership, communication, and organizational change capabilities.