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Data Governance Lead

Pubblicato il 16-10-2026 - Syngenta Group in Abruzzo

Syngenta Group, a global leader in agricultural technology and innovation, employs 60,000 people across more than 100 countries to transform agriculture through tailor-made solutions for farmers, society, and our planet. Our diverse portfolio encompasses seeds, crop protection, nutrition products, agronomic solutions, and digital services, all designed to help farmers produce healthy food, feed, fiber, and fuel while conserving natural resources and protecting the environment. Our mission is to address critical challenges such as climate change and food security through sustainable practices and cutting‑edge solutions, while safeguarding the planet's resources.

Syngenta Crop Protection, the largest Syngenta Group unit, leads in sustainable farming solutions, offering innovative products to keep crops healthy while minimizing environmental impact, from planting to harvest.

Syngenta Seeds, a leading developer and producer of Field Crops, -Vegetable, - and Flower Seeds, is part of Syngenta Group. We bring farmers more vigorous, stronger, resistant plants,



including innovative hybrid varieties and biotech crops.

Syngenta has been ranked as a top employer by Science Magazine.

We are seeking a highly skilled Data Governance Lead to join our Digital & Data Science Group in Biologicals Research. Biologicals research discovers, characterises, optimises and produces novel biologicals. Biologicals are derived from nature. They can be naturally occurring microbes, extracts or molecules protecting plants from pests and diseases or improving plant and soil health.

Within this role you will be responsible for establishing, embedding, and continuously improving data governance across Biologicals Research globally. The role ensures that research data is high quality, findable, accessible, interoperable, and reusable (FAIR), enabling trusted, data‑driven decision making, efficient collaboration, and effective use of digital and data‑science capabilities.

Operating across a Biol

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