Global Head of Quality Engineering

About You

We are seeking a visionary and transformative Global Head of Quality Engineering to build and lead our world-class Quality Engineering organization. In this critical leadership role, you will be reporting to the CTO and will be empowered to define and execute a comprehensive quality vision for our software, data, and AI models, ensuring the highest standards for the product we deliver to our clients.

Based in Zurich or Berlin, you will be responsible for creating a culture where quality is engineered into every step of the product development lifecycle. Working in close collaboration with the VP of Engineering, and the Heads of AI and Architecture, you will build a high-effectiveness Quality Engineering organization from the ground up, including defining the global scope and scaling the team. You will drive the strategy that underpins the reliability and excellence of all RepRisk products and influence a quality-first mindset across the company. This is an opportunity for a strategic, hands-on leader who is passionate about building exceptional teams and pioneering quality practices for cutting-edge technology.

Your Responsibilities

• Lead, mentor, and inspire a global team of Quality Engineering professionals, cultivating a collaborative and healthy engineering ethos of trust, transparency, and intellectual honesty.
• Drive the recruitment, engagement, and development of top QE talent, ensuring clear paths for growth and recognition.
• Champion a performance culture that balances accountability with empowerment — establishing clear expectations, providing continuous feedback, and enabling innovation and growth..
• Embed a "quality-first" mindset across the entire engineering, data, and product organizations.
• Define, implement, and govern a modern QE process that ensures efficient, consistent, and high-quality delivery from development to production.
• Drive the Data Quality Framework of RepRisk to exceed client expectations on product delivery and operationalize the Framework with quality measures pertaining specifically to data QA.
• Establish and evangelize industry-leading QE practices tailored specifically for software applications, complex data pipelines, and cutting-edge AI models, ensuring their accuracy, reliability, and performance, while demonstrating clear impact on product excellence and client outcomes.
• Take full ownership of all quality engineering and testing processes, ensuring the consistent delivery of high-quality products that drive client satisfaction
• Define, implement, and manage a sophisticated set of KPIs and metrics (e.g., test coverage, defect escape rate, automation ROI) to create a data-informed environment for continuous improvement and measurable business impact
• Collaborate closely with engineering, product management, and architecture stakeholders to align quality initiatives with business goals and product roadmaps.