Responsibilities
- Define and execute a multi-year transformation roadmap to transition from conventional testing to AI-driven QE practices.
- Align transformation initiatives with organizational goals, ensuring measurable business outcomes.
- Introduce and scale AI-powered testing solutions (e.g., predictive analytics, self-healing scripts, intelligent test generation).
- Drive automation maturity across functional, regression, performance, and security testing.
- Develop and implement a comprehensive tooling strategy for test automation, AI-based test optimization, and continuous quality.
- Evaluate, select, and integrate best-in‑class tools and platforms to support AI-enabled QE.
- Lead cultural and skill transformation within the QE organization, fostering innovation and continuous learning.
- Design and deliver enablement programs for upskilling teams on AI, ML, and advanced automation practices.
- Partner with engineering, product, and business leaders to embed quality into the development lifecycle.
- Act as a thought leader and evangelist for AI-driven QE across the enterprise.
- Define KPIs to measure transformation success (e.g., automation coverage, defect leakage, cycle time reduction).
- Provide regular updates to senior leadership on progress, challenges, and ROI.
Technologies
- AI
- CI/CD
- Cloud
- Cypress
- DevOps
- Support
- Playwright
- Security
- Selenium
More: We are seeking a visionary Quality Engineering (QE) Transformation Leader to drive the evolution of our large-scale testing organization, consisting of 350 professionals, from traditional testing strategies to AI-enabled, automation-first approaches. This role will spearhead the adoption of cutting‑edge AI technologies, modern automation frameworks, and innovative tooling strategies to deliver superior quality at speed and scale. We offer a collaborative environment where innovation is encouraged, and our commitment to transformation will redefine the future of Quality Engineering.
Qualifications
- 15 years in Quality Engineering, with at least 5 years in leadership roles driving large-scale transformation.
- Proven track record of implementing AI and automation strategies in enterprise environments.
- Deep understanding of AI/ML concepts applied to software testing.
- Hands‑on experience with automation frameworks (Selenium, Cypress, Playwright), AI-based testing tools, and CI/CD pipelines.
- Exceptional ability to influence and lead cross‑functional teams.
- Strong communication and stakeholder management skills.
- Preferred: Exposure to cloud-native testing, DevOps, and continuous quality practices.
- Certifications in AI/ML or advanced test automation.