About this role
Data Governance & Stewardship Serve as the primary focal point for agronomic data governance within the assigned cluster. Partner with protocol owners to review experimental protocols and ensure all critical data elements (experimental design, plot layout, hybrids, varieties, treatments, samples, determinations, and metadata) are properly defined, standardized, and available within approved data collection and processing systems. Ensure data requirements are incorporated upstream in the protocol planning process, enabling complete, high-quality, and analysis-ready datasets throughout the agronomic data lifecycle. Identify gaps between protocol requirements and digital data capture capabilities, coordinating improvement plans with Data Engineering and business stakeholders. Ensure critical datasets are available according to agreed business timelines. Coordinate resolution plans with field teams, Data Engineers, and other stakeholders when issues arise. Provide visibility into operational execution metrics to support proactive decision-making and risk mitigation. Facilitate governance reviews, status meetings, and cross-functional alignment. Provide visibility on data status, operational risks, and mitigation plans for cluster leadership. Develop and maintain operational indicators related to data ingestion and trial execution. Support continuous improvement discussions with field teams based on data-driven insights. Process Excellence & Continuous Improvement Support deployment and adoption of new digital solutions and technologies. Bachelor's degree in Agronomy, Agricultural Engineering, Information Systems, Data Science, or related fields. Experience in agronomic trials, agricultural operations, data management, or related areas. Experience working in cross-functional and matrix organizations. Experience coordinating stakeholders across multiple teams and business functions. Strong understanding of agronomic trial processes and the agricultural data lifecycle. Data governance and data quality management. Working knowledge of SQL, databases, and digital data platforms. Process mapping and workflow management. Familiarity with automation and AI-powered productivity tools. Ability to translate operational needs into scalable digital solutions. Strong ownership and accountability. Excellent organization and prioritization skills. Ability to influence stakeholders without formal authority. Strong communication and collaboration capabilities. Problem-solving mindset with a continuous improvement orientation. Ability to work effectively across countries and cultures within a LATAM environment.