Principal Fellow, Data Engineering

When our values align, there's no limit to what we can achieve.

At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

About Parexel Parexel is a leading global clinical development partner delivering insights-driven clinical and consulting solutions to the life sciences industry. With 22,000+ employees worldwide, we partner with biopharmaceutical companies and research sites to design and deliver patient-focused clinical trials that broaden access and make research a care option for anyone, anywhere.

We work with focus, agility, and shared purpose - moving with urgency to address patient needs and accelerate the delivery of new therapies. We embrace bold thinking, adapt quickly to change, and continually raise the bar for the speed and quality of clinical research. We are expanding our team and seeking talented individuals to help drive industry leading innovation, With Heart.

About the Role We are seeking a Principal Fellow, Data Engineering (Enterprise Data Architecture Leader) to join our team. As a Principal Fellow, you will drive strategic data platform modernization and AI innovation that accelerates clinical research operations and business intelligence across Parexel. This position plays a key role in establishing enterprise-wide data governance, architecting scalable analytics solutions, and leading the adoption of advanced technologies that enable faster, more efficient clinical trials. You'll collaborate with cross-functional leadership teams, define technology standards and best practices, and contribute to transformational initiatives from conception through enterprise-wide implementation. Responsibilities include designing enterprise data platforms, leading AI and analytics strategy, establishing governance frameworks, and mentoring technical teams, with opportunities to shape the future of clinical research technology and influence organizational strategy.