Director, QA Automation Support

Role Overview The Director, QA Automation Support provides strategic leadership for quality engineering and test automation capabilities across Digital Products & Engineering. This role is accountable for establishing scalable 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 of Coca‑Cola’s digital 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 and delivery lifecycles. 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’s degree preferred. 8+ years of experience in software quality engineering, automation, and technology delivery environments. Significant experience leading enterprise-scale QA automation programs. Proven success defining quality strategies supporting complex digital product ecosystems. Deep expertise in 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. Experience establishing governance, standards, and performance management frameworks. Excellent leadership, communication, and organizational change capabilities.