Job Description In Crop Protection R&D, we design, deliver and evolve cutting-edge data capabilities to allow us to access, connect, share and harness our R&D data at an unprecedented scale and pace. We cover a wide spectrum of data from Research (chemistry and biology research lab data) all the way to open field IoT (environmental sensors, drones, satellite imaging), along with cutting-edge analytics capabilities such as AI/ML, GenAI and computer vision. We firmly believe in FAIR, shared and connected data products, empowered and data-savvy people, agile delivery and open source. We are looking for a progressive leader with deep expertise in R&D data and information governance and management processes, coupled with outstanding interpersonal and business skills to play a key role in CR R&D-wide foundational capabilities and transformation efforts, such as data quality, master and reference data management, information and knowledge management, data catalogues and data platforms for analytics and innovation. Key accountabilities: Standardise and scale the process of effective creation, management and exploitation of trusted and reliable FAIR data assets (structured and unstructured) within and across R&D functions to drive project and business decisions, avoid risk and enable more effective use, analytics and data science. Co-develop, issue and govern a set of CP R&D-wide principles, guardrails and frameworks on data and metadata management, roles, accountabilities and processes along the data lifecycle from planning to exploitation in a federated fashion across R&D functions. Set the CP R&D strategy on the priority, application and platforms for proactive and impactful data management, including data quality, data cataloguing and master data management. Establish, coordinate and chair data and information governance activities to ensure business data ownership, stewardship and sponsorship, working closely with counterparts and peers in the R&D functions, especially with AI and GenAI in mind. Engage and activate the data and broader community on the value and practice of good data management and sharing practices. Advocate for and lead change management campaigns on FAIR, data culture and data literacy. Act as the business product owner for cross-functional data capabilities such as the management of master and reference data, data quality, ontologies and data access platforms.