Agricultural Technology Manager

Role Overview

Organization Context

Core Responsibilities

• Develop and execute an agricultural technology strategy aligned with business and operational objectives.
• Assess farming operations to identify opportunities for automation, digitization, and technology-enabled improvement.
• Lead the evaluation, selection, implementation, and optimization of agricultural technologies.
• Manage precision-agriculture programs covering crops, soil, irrigation, machinery, livestock, and environmental monitoring.
• Implement IoT sensors, weather stations, soil sensors, telemetry, GPS, remote monitoring, and connected equipment.
• Use satellite imagery, drones, GIS, remote sensing, and aerial data for agricultural decision-making.
• Implement farm-management platforms and digital tools for planning, monitoring, production tracking, and reporting.
• Translate operational requirements from agronomists and farm managers into practical technology solutions.
• Support precision irrigation, variable-rate application, automated fertilization, crop monitoring, and resource optimization.
• Evaluate robotics, autonomous machinery, computer vision, artificial intelligence, and machine-learning applications.
• Develop business cases and return-on-investment assessments for agricultural technology investments.
• Manage pilots, field trials, proof-of-concept programs, deployment projects, plans, budgets, vendors, and implementation partners.

Systems, Data, and Operations

• Define technical requirements, service levels, performance standards, acceptance criteria, and integration requirements.
• Ensure solutions integrate with farm-management, ERP, GIS, IoT, and data platforms.
• Improve data collection, connectivity, interoperability, storage, quality, accessibility, ownership, security, and documentation.
• Develop dashboards and analytical tools for production, yield, water, energy, equipment, labor, and financial performance.
• Use analytics and predictive models to identify production risks, resource inefficiencies, and improvement opportunities.
• Support predictive maintenance and asset monitoring for agricultural machinery and infrastructure.
• Monitor connected equipment, sensors, automated systems, and digital platforms.
• Coordinate system testing, commissioning, user acceptance, training, and operational deployment.
• Develop standard operating procedures for technology-enabled agricultural processes.
• Train farm managers, agronomists, technicians, operators, and other users on digital tools and systems.
• Provide technical support and troubleshoot technology-related operational issues.
• Establish cybersecurity and access-control requirements for connected agricultural systems.

Strategy and Improvement

• Monitor technology performance, availability, reliability, data quality, and user adoption.
• Manage technology budgets, operating costs, licensing, subscriptions, hardware, and capital investments.
• Forecast technology requirements based on production growth, operational expansion, and emerging business needs.
• Evaluate emerging technologies and monitor developments in precision agriculture, autonomous farming, AI, robotics, biotechnology, sensors, and digital agriculture.
• Establish innovation pipelines and prioritize initiatives based on business value and operational impact.
• Collaborate with research institutions, universities, technology companies, and agricultural innovation partners.
• Ensure deployments comply with applicable agricultural, environmental, safety, data, and regulatory requirements.
• Support water conservation, energy efficiency, input optimization, waste reduction, and emissions monitoring.
• Measure technology adoption and quantify operational, financial, environmental, and productivity benefits.
• Prepare reports covering technology projects, performance, costs, risks, adoption, and business outcomes.
• Resolve implementation risks, technical issues, operational barriers, and change-management challenges.
• Lead continuous-improvement initiatives to increase value from agricultural technology investments.

Ideal Candidate Qualifications

• Substantial experience in agricultural technology, precision agriculture, digital farming, farm automation, agricultural engineering, agri-tech, data-driven agriculture, or a related field.
• Strong understanding of modern agricultural production and technology applications.
• Experience implementing precision-agriculture and digital-farming solutions.
• Knowledge of IoT, sensors, GPS, GIS, remote sensing, drones, telemetry, and connected equipment.
• Understanding of agricultural data management, analytics, dashboards, and digital platforms.
• Experience with farm-management software and technology integration.
• Knowledge of automation, robotics, artificial intelligence, machine learning, or autonomous agricultural systems.
• Experience managing technology vendors, implementation partners, consultants, and technical teams.
• Strong project-management, budgeting, procurement, and business-case development skills.
• Ability to translate agricultural requirements into practical technical solutions.
• Strong analytical and problem-solving capabilities.
• Understanding of agricultural sustainability, resource efficiency, environmental management, cybersecurity, and data governance.

Communication and Working Style

• Excellent written and verbal communication skills in English.
• Ability to work effectively across agriculture, engineering, technology, operations, and management teams.
• The candidate should demonstrate a practical, innovation-driven, commercially aware, and continuous-improvement mindset.

Key Performance Indicators