George Papadatos is Global Head of Data Strategy at Syngenta, where he leads data, analytics and AI strategy for Crop Protection R&D, with a focus on accelerating scientific discovery and addressing global challenges across food, health, and the environment.
His career has been shaped by a strong belief in the power of high-quality data and advanced analytics to transform scientific research. After completing a BSc in Chemistry, George pursued a Master’s and PhD in data science and informatics applied to chemical and biological systems. Early roles in academia and the pharmaceutical industry exposed him to real-world drug discovery and reinforced the impact that well-governed data and analytics can have on R&D productivity.
Working within international research consortia, George gained experience designing and operationalising advanced analytics and building data science products for global scientific communities. He later joined GSK, where he moved into enterprise-scale data leadership as Director of Data Strategy for Medicine Design. In that role, he led multidisciplinary teams delivering integrated data platforms and predictive analytics to more than 800 scientists, while developing a strong perspective on organisational change, stakeholder alignment and the importance of FAIR data principles.
At Syngenta, George is building a high-performing data organisation and driving digital transformation initiatives across data platforms, data engineering, data mesh architecture, master and reference data management, governance and data literacy. His work centres on turning data strategy into practical capability, enabling scientists to work more effectively and at scale.
George is motivated by the opportunity to set vision, align stakeholders, and develop empowered teams that consistently deliver high-quality, tangible outcomes grounded in trusted data, robust technology, and transparent processes.
As a data and AI leader, which traits and skills do you think matter most, and which of those have been most influential for you in your current position?
“Effective data and AI leadership requires a unique blend of technical fluency and foresight, strategic clarity, cultural influence, and empathetic leadership. Leaders must demonstrate and role-model collaboration, curiosity, and openness.
“A second critical skill is the ability to translate strategy into day-to-day operations: Leaders must connect data and AI investments to tangible business value, role model digital first behaviours, and drive cross functional collaboration. Courageous decision making and the ability to manage transformation, including psychological safety and learning from fast failures, also are enablers of successful data and AI adoption.
“Finally, effective leaders must invest in people development, helping teams build the skills and confidence required to work productively with data and emerging AI technologies.
“In a nutshell, based on my experience, my not-so-secret recipe for success is a combination of leadership integrity (accountability, commitment, and delivery), empathy, passion for development self and others, coaching teams for success, engagement across all seniority levels, relentless focus on culture, user enablement and upskilling, deep technical expertise on digital transformation, data, analytics, and AI applied in the relevant business domain, as well as monitoring of the external market and tech trends.”
Reflecting on your career, what is one non-traditional piece of advice (outside of technical skills) you would give to an aspiring data or AI leader aiming for the C-suite?
“Treat building trust as a strategic asset, not just as a soft skill. Technical excellence will get you noticed and promoted early in your career, but it’s your ability to listen, show empathy, engage, build rapport, bring alignment, and empower teams that ultimately earns you influence and visibility in an organisation. These skills will never be replaced by AI.
“In my own journey, the most influential skill has been the ability to translate uncertainty into strategy, clarity, and action: taking complex, messy, cross-functional challenges, and turning them into endorsed and aligned, bold, and engaging narratives people can relate to and act on. This builds trust and helps organisations adopt data and AI, not as a technology project but as a cultural shift. For aspiring leaders, mastering this human side of change is what ultimately differentiates those who thrive in the C-suite.”