Agronomic Data Specialist

Agronomic Data Specialist 

Job Description Summary

Own the agronomic data readiness process for a LATAM cluster, ensuring that critical agronomic information is properly planned, captured, governed, and available throughout the data lifecycle to support technical recommendations, business decisions, and operational excellence.

Job Description

Key Responsibilities

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.

Data Readiness & Ingestion Oversight

• Monitor the progress and readiness of agronomic data throughout the season.
• Ensure critical datasets are available according to agreed business timelines.
• Identify risks related to data completeness, quality, and timeliness.
• Coordinate resolution plans with field teams, Data Engineers, and other stakeholders when issues arise.
• Track adherence to evaluation schedules, protocol milestones, and data submission timelines.
• Provide visibility into operational execution metrics to support proactive decision-making and risk mitigation.

Stakeholder Management & Coordination

• Act as the primary interface between Agronomic Services and Data Engineering teams.
• Facilitate governance reviews, status meetings, and cross-functional alignment.
• Provide visibility on data status, operational risks, and mitigation plans for cluster leadership.

Data Quality & Operational Performance

• Monitor data quality, completeness, and adherence to established standards.
• Develop and maintain operational indicators related to data ingestion and trial execution.
• Identify recurring patterns impacting data quality, protocol compliance, or delivery timelines.
• Support continuous improvement discussions with field teams based on data-driven insights.

Process Excellence & Continuous Improvement

• Identify opportunities to simplify, standardize, and automate processes.
• Support deployment and adoption of new digital solutions and technologies.
• Promote efficient ways of working through automation and AI-enabled tools.
• Share best practices and drive continuous improvement across LATAM clusters.

Required Qualifications

Education

• Bachelor's degree in Agronomy, Agricultural Engineering, Information Systems, Data Science, or related fields.

Experience

• 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.

Technical Skills

• 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.

Professional Skills

• 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.