Introduction

Description de la mission

• Build and lead a team of data experts driving data exploitation, predictive science and systems development related to field trials to support successful data driven crop protection product development globally
• Drive data analytics needs for Crop Protection development in the different product lines (Weed Control, Disease Control, Insect Control, Biologicals, Lawn & Garden, Seedcare)
• Design, communicate and implement technical strategies for data management in Product Development
• Collaborate and align with other R&D functions and regional teams, IT, Marketing, as well as key third parties to deliver the CP R&D strategies
• Lead the development of tools for data capture, analysis, and interpretation together with R&D IT to enable step change in product knowledge and speed up project decisions
• Create value by championing data and digital platforms that meet the cultural needs and capabilities of a global organization, share best practices, and align across regional biological data experts
• Lead the global data exploitation and predictive science activities in Global Product Biology
• Drive strategic innovation in data exploitation and predictive science for Crop Protection field trials
• Recruit, develop and lead a team of data scientists with expertise in biological data management, modeling, and statistics
• Lead the development of new systems for data capture, exploitation, and storage of data
• Prepare the organization for step changes in biological data analytics
• Establish digital solutions that support trialing excellence and successful product offers
• Establish KPIs and metrics for the performance of the global field trialing capacity to enable continuous improvement and prioritize investment.

Profil attendu

• Post-graduate degree in data science relating to biological R&D
• Biological qualification with digital, IT and/or analytics capabilities
• Experienced in different software development concepts and methodologies, e.g. Agile and Devops
• 8+ years of experience overall. Including experience in people management and a technical role or external experience in data management in matrix organization
• Broad understanding of digital tools and data analytics software
• Proven track-record of delivering successful development projects in country/region/global role
• In-depth knowledge of data exploitation and predictive science, preferably in the context of biological or agricultural Research and Development
• Translate numbers and complex data into conclusions and simplify it into an easy-to-access model and support the decisions for scientific or business purposes.
• Understanding of the R&D organisations, and key processes involved with development of new active ingredient and products
• Fluent in written and oral English.

Application process