Qualifications, Attributes and Experience

• Degree in Agriculture, Agricultural Engineering, Information Systems, Data Science, or a related field. Relevant postgraduate qualification will be an added advantage
  
• Minimum 5 years proven experience implementing digital or precision agriculture solutions for horticulture, tree crops preferred.
  
• Experience in data validation, quality assurance, and/or agricultural analytics.
  
• Knowledge of AI, machine learning, and data-driven decision-making.
  
• Excellent dashboard development and reporting skills
  
• Excellent communication and interpersonal skills, with ability to train others.
  
• Experience in horticulture or the Kenyan agricultural sector is an advantage.
  

Key Responsibilities

• Implement and manage digital agriculture platforms (precision agriculture) across operations.
  
• Integrate multiple data sources into a unified management reporting system.
  
• Verify digital data against field conditions to ensure accuracy and reliability.
  
• Drive daily use of digital tools and build digital capability across teams.
  
• Produce weekly and monthly management reports and actionable insights.
  
• Identify and implement AI, machine learning, and data analytics opportunities to improve decision-making and operational performance.
  
• Manage technology vendors and support continuous digital innovation.