Descripción de la oferta
Overview
In this role you lead a global automation and performance testing team to advance PPG's quality engineering. You will define the testing strategy, tooling, and processes to deliver reliable, secure, and high-performing software across the organization. You drive AI-powered and data-driven testing approaches to accelerate delivery and improve customer experience. You collaborate with business and IT partners to embed quality into the software lifecycle and shape enterprise-wide testing strategies. This is a strategic leadership role at the intersection of automation, analytics, and innovation.
ResponsabilidadesLead a global team of automation and performance testing engineers to deliver strategic initiativesDefine scope and quality objectives for releases across functional and non-functional areasEstablish an automation-first testing strategy and enhance test automation frameworksImprove test automation processes, frameworks, and methodologiesDefine and track quality metrics such as automation coverage and test effectivenessEnsure release readiness and adherence to quality standards across applicationsDevelop testing strategies, plans, and quality roadmapsIdentify and implement AI-enabled testing capabilities to boost productivity and coverageCoordinate with PMs, developers, stakeholders, and IT to resolve defectsProvide clear testing status reports to senior leadershipOversee end-to-end performance testing and analyze performance improvementsLead recruitment, talent development, and recognition programsFoster a culture of innovation, accountability, and continuous learningDrive continuous improvement initiatives focused on quality, efficiency, performance, and customer satisfactionEnsure compliance with regulatory, security, and SOX requirementsManage team workload and resource allocationIdentify and adopt industry-leading tools and best practicesMaintain confidentiality of company and customer informationSupport strategic objectives with effective quality engineering practices
Requisitos principalesBachelor’s degree in CS, IT, Engineering, or related field (preferred)Proven experience leading software testing, automation, or quality engineering teamsSuccess designing, implementing, and scaling automated testing frameworksStrong experience with test automation tools and methodologiesExperience with performance testing concepts, strategies, and toolsSolid understanding of Agile, DevOps, CI/CD and modern delivery practicesExperience leading global or distributed teamsProject management experience handling multiple prioritiesExcellent communication and stakeholder managementAnalytical, problem-solving, and decision-making abilitiesExperience leveraging AI/ML to enhance testing, including intelligent test creation and self-healing automationHands-on experience with AI-powered tools such as Microsoft Copilot, GitHub Copilot, Tricentis Tosca AI or similarProven ability to evaluate and govern emerging AI technologies for testing efficiency and qualityEquivalent combinations of education, training, and experience consideredPreferred qualifications: Agile environments, mature DevOps, performance testing tools like JMeter or Carrier IO, ISTQB or Tosca certificationsExperience facilitating roadmaps and strategic workshopsFamiliarity with enterprise software development toolchainsExperience integrating AI-assisted quality engineering into the SDLCStrong leadership and people managementExcellent communication and stakeholder managementCollaborative and proactiveAutomation testing frameworksAI-enabled testingPerformance testing tools
