Agricultural technology
Data and analytics professionals in Agricultural technology
Learn which farm or supply-chain decisions your team can actually improve with data, and where better information stops mattering. Understand what data sources these professionals trust, how they validate that trust, and when they hit limits—either in data quality, farm conditions, or farmer behavior—that numbers alone cannot solve.
Professionals to explore
01—10Andy Jenkinson
LinkedInExperience: Global Head of Digital Agtech Data · Syngenta Group
Experience leading digital agricultural data initiatives at a farming company, including field identity and soil data infrastructure work in agtech.
Diogo Dragone
LinkedInExperience: Leader Regional Agriculture Analytics South America & Asia-Pacific Global Feed & Geo-Analytics · cargill, inc.
Experience leading regional agriculture analytics and geo-analytics functions, applying GIS and data analysis to agricultural business decisions at a global agribusiness company.
Evangelos Ninnis
LinkedInExperience: Head Corporate Data & Analytics · Syngenta Group
Experience leading corporate data and analytics teams delivering data lakes, dashboards, and data science solutions within an agricultural technology company.
Gaurav Sharma
LinkedInExperience: Global Head of IT, Data and Digital Portfolio, Agricultural Solutions · BASF
Experience leading enterprise data strategy, analytics platforms and digital portfolio management within the agricultural solutions division of a chemicals and agriculture company.
Jennifer Lind
LinkedInExperience: Director of Business Intelligence and Analytics · Church Brothers Farms
Experience directing business intelligence and analytics functions, translating sales and operations data into insights within the fresh produce industry.
LeAnna Guerin
LinkedInExperience: Director of Data, Digital Farming Solutions · Bayer
Experience directing data science teams delivering agronomic and crop modeling insights within a digital farming solutions unit at an agricultural company.
Marco Muniz
LinkedInExperience: Global Head of Data & Analytics, responsible for Europe, Latin America, Africa and Middle East · Syngenta Group
Experience leading global data and analytics strategy and transformation at an agricultural company, spanning multiple international regions.
Nikolay Kashchuk
LinkedInExperience: Director of digitalization and modelling · AgroTerra, Group of companies
Experience directing digitalization and modeling initiatives, including AI, IoT, and decision-support systems for crop rotation and yield analysis, at an agricultural producer.
Shilpa Sood
LinkedInExperience: Director, Global Corn Digital Agronomic Solutions · Bayer
Experience leading data science and digital farming capability development, including agronomic modeling applications, within an agricultural technology company.
Stuart Shiell
LinkedInExperience: Director, Analytics & Architecture · Semios
Experience directing analytics and architecture functions at a precision agriculture crop management platform company serving farmers.
Choose the right perspective
Look for candidates who have built or used analytics systems in real farming operations. Ask them to describe a specific decision their data supported, then ask what happened when the data turned out to be incomplete or wrong. Avoid those who only discuss theoretical models or tools without naming actual outcomes.
Questions to take into the conversation
- 01Walk me through a decision you made based on agricultural data. What data did you use, and what happened when you acted on it?
- 02When did you realize your data wasn't good enough to answer the question you needed answered?
- 03What farm or business condition made your analytics less useful than you expected?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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