Define and implement a strategic QA vision that aligns with business goals, balancing speed, quality, and innovation.
Lead multiple QA teams, ensuring that projects are delivered on time and with the highest quality standards.
Evaluate and implement the latest QA technologies, with a strong focus on AI-driven testing solutions to improve productivity and accuracy.
Apply expertise in the industrial software domain to establish rigorous quality processes and ensure system reliability and scalability.
Establish and maintain metrics and KPIs to track the effectiveness of QA efforts and identify opportunities for continuous improvement.
Collaborate with product management, development, and DevOps teams to ensure QA is an integral part of the development lifecycle.
Build and mentor a world-class QA team, providing ongoing support, training, and development opportunities.
Proactively research and adopt new technologies, tools, and methodologies to maintain a state-of-the-art QA environment.
Serve as a key influencer and thought leader within the organization, shaping the future of QA work.
Mandatory Skills:Playwright Linux, Cloud, QA tools, automation frameworks, and CI/CD pipelines Industrial data ops Leading QA teams and implement enterprise-level strategies AI-driven testing tools and methodologies
Requirements
10+ years of QA experience, including at least 5 years in a senior leadership role.
Proven ability to scale QA teams, implement enterprise-level strategies, and drive innovation.
Strong knowledge of QA tools, automation frameworks, and CI/CD pipelines.
Demonstrated expertise in the industrial software domain, applying domain-specific testing standards and practices.
Advanced understanding of AI-driven testing tools and methodologies, with a record of implementing such solutions.
Exceptional leadership, communication, and organizational skills, with a track record of building high-performing QA teams.
Relevant certifications (e.g., ISTQB Advanced or Expert levels) and a commitment to continuous learning.