Overview In this role you lead a integral automation and performance testing team to advance PPGs 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.

Responsabilidades

Lead a global team of automation and performance testing engineers to deliver strategic initiatives

Define scope and quality objectives for releases across functional and non-functional areas

Establish an automation-first testing strategy and enhance test automation frameworks

Improve test automation processes, frameworks, and methodologies

Define and track quality metrics such as automation coverage and test effectiveness

Ensure release readiness and adherence to quality standards across applications

Develop testing strategies, plans, and quality roadmaps

Identify and implement AI-enabled testing capabilities to boost productivity and coverage

Coordinate with PMs, developers, stakeholders, and IT to resolve defects

Provide clear testing status reports to senior leadership

Oversee end-to-end performance testing and analyze performance improvements

Lead recruitment, talent development, and recognition programs

Foster a culture of innovation, accountability, and continuous learning

Drive continuous improvement initiatives focused on quality, efficiency, performance, and customer satisfaction

Ensure compliance with regulatory, security, and SOX requirements





Manage team workload and resource allocation

Identify and adopt industry-leading tools and best practices

Maintain confidentiality of company and customer information

Support strategic objectives with effective quality engineering practices

Requisitos principales Bachelor's degree in CS, IT, Engineering, or related field (preferred)

Proven experience leading software testing, automation, or quality engineering teams

Success designing, implementing, and scaling automated testing frameworks

Strong experience with test automation tools and methodologies

Experience with performance testing concepts, strategies, and tools

Solid understanding of Agile, DevOps, CI/CD and modern delivery practices

Experience leading global or distributed teams

Project management experience handling multiple priorities

Excellent communication and stakeholder management

Analytical, problem-solving, and decision-making abilities

Experience leveraging AI/ML to enhance testing, including intelligent test creation and self-healing automation

Hands-on experience with AI-powered tools such as Microsoft Copilot, GitHub Copilot, Tricentis Tosca AI or similar

Proven ability to evaluate and govern emerging AI technologies for testing efficiency and quality

Equivalent combinations of education, training, and experience considered

Preferred qualifications: Agile environments, mature DevOps, performance testing tools like JMeter or Carrier IO, ISTQB or Tosca certifications

Experience facilitating roadmaps and strategic workshops

Familiarity with enterprise software development toolchains

Experience integrating AI-assisted quality engineering into the SDLC

Strong leadership and people management

Excellent communication and stakeholder management

Collaborative and proactive

Automation testing frameworks

AI-enabled testing

Performance testing tools

📌 Automation Testing Manager (m/f/d) (Barcelona)
🏢 Ppg Industries
📍 Barcelona