Simone Daminelli
Global Data Engineering Lead @Syngenta Group
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WORK HISTORY
Global Data Engineering Lead @Syngenta Group
GB
Steering Data & AI Engineering practices, operational models and organizational setup for global initiatives transforming R&D in AgriTech.Connecting Digital transformation with Data and AI enablement at scale.Overseeing multiple teams within a data mesh ecosystem (100+ developers, 500+ data platform users), supporting R&D cross-functional AI/BI solutions users).Driving value through better data solutions, via effective and resilient teams while preventing turnover and burnout.Establishing Data and AI literacy programs, communities of practice (CoP), data platforms user engagement & adoption for digital solutions at Syngenta R&D and beyond.
EDUCATION
Università degli Studi di Milano-Bicocca
Master of Science (MSc), Bioinformatics
Technische Universität Dresden
Doctor of Philosophy - PhD, Computer Science (Bioinformatics)
ABOUT SIMONE DAMINELLI
I am a multi-talented professional with a passion for data, science & technology, and innovation for a better future. Connect or follow me for strategic yet pragmatic insights on how to engineer your organization to success.About myself and my journey:My intellectual curiosity drove me to obtain a PhD in Bioinformatics, an intersection of life and computer sciences, and to continuously explore areas of knowledge beyond my comfort zone.My professional experience is a testament to my ability of deep-diving into diverse fields, their challenges, and to actively create solutions at global scale.My commitment towards innovating via data and AI led me to work for more than 15 years in R&D.My experience spans across Academia, Pharma and Agriculture organizations, where I built data solutions to improve patients lives, and to innovate in agriculture for sustainability and food security.Over last 15 years, I grew from mentoring students to lead global teams of data professionals (data engineering, science and analytics).I also drove data & AI literacy initiatives, user engagement and adoption for data platforms, and pushed the boundaries of digital innovation in large commercial organizations.
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