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Skills: Data Governance, Data Quality Management, Agronomic Trials, SQL, Database Management
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Full-time
bachelor degree
Posted 8d ago
~40 hrs/week
Responsibilities
The Agronomic Data Specialist will oversee the agronomic data readiness process for the LATAM cluster, ensuring data quality, governance, and availability throughout the lifecycle. They will act as the primary interface between agronomic services and data engineering teams to support technical recommendations and business decisions.
Requirements
Candidates must hold a bachelor's degree in Agronomy, Agricultural Engineering, Information Systems, Data Science, or a related field. The role requires experience in agronomic trials or data management, along with proficiency in SQL, data governance, and cross-functional stakeholder coordination.
Full job description
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.
Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to serve the most essential human needs of health and nutrition. At the same time, we strive to address some of the world’s biggest challenges presented by a growing and aging global population.
At Bayer, we’re committed to driving sustainable development and generate a positive impact with our businesses.
Through the power of science, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.
Data Privacy Statement & Imprint: https://www.bayer.com/en/glob-li-bayer-en-dps-imprint
Offices: Kaiser-Wilhelm-Allee, Leverkusen, North Rhine-Westphalia 51373, DE · 27 Wrench Road, Isando, Kempton Park, Gauteng 1600, ZA · Avenida Miguel de Cervantes Saavedra 259, Miguel Hidalgo, CDMX, Ciudad de México 11529, MX · Avenida de las Americas 80C-57, Bogota, Bogota, D.C. 110851, CO · South Oak Way, Reading, England RG2 0, GB
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