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.

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