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Mauro Cagol

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Director - DA & AI, Data Ops & Data Foundation AstraZeneca

Mauro Cagol is a seasoned Data and Analytics leader with 20+ years of experience, specialising in transforming data strategies & driving data product delivery. He’s led multiple consulting engagements delivering modern data engineering solutions across diverse industries, managing teams of 60+ professionals, whilst consistently achieving client satisfaction. Specialising in implementing Data Analytics and AI Solutions based on modern data tools.

His recent implementation of a data mesh strategy has revolutionized AstraZeneca’s data engineering processes, reducing the delivery time of data assets from months to days. By automating data to be AI-ready from the source to the AI agent layer,

Mauro’s committed to innovation and continuous improvement, staying abreast of industry trends and emerging technologies, utilizing AI agentic frameworks to deliver self-healing and self-optimizing data platforms. His knowledge of regulatory requirements ensures that data platforms comply with industry standards, particularly within the pharmaceutical sector.

He is the co-author of a published paper on data products setting new standards for the pharmaceutical industry, providing a comprehensive framework for developing data products meeting industry regulations and driving innovation.

His diverse background gives him a unique perspective on Data, Analytics & the AI market whilst working with software vendors, consultancy partners, & end-user organizations.

Bio from: Big Data LDN 2025

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The future of healthcare depends not only on breakthroughs in science, but also on how we harness the power of data, technology, and AI. To realise this future, we must challenge long-held assumptions about how data products are delivered. What once took months of complex engineering now happens in days—or even hours—by re-imagining the way we work. At AstraZeneca, we shifted from a traditional IT-centric model to one where business teams take ownership, rapid prototyping drives innovation, and automation ensures quality, compliance, and trust.

 This change is more than a process improvement; it is a cultural transformation. By aligning every step to business value, embracing bold goals, and learning from failure, we have built a system that empowers people to innovate at speed and at scale. Data products are no longer the end goal but the enablers of something greater: a knowledge fabric ready for AI, where enterprise context unlocks smarter decisions and accelerates the delivery of life-changing medicines.

Our journey proves that when ambition meets courage, and technology meets purpose, we can transform the way data serves science—and, ultimately, transform the lives of patients around the world.