Description

The Program Manager, Agriculture will lead the planning, coordination, and execution of the AI-enabled agriculture advisory use case, ensuring effective collaboration among all stakeholders and alignment with national priorities. This role will oversee implementation from pilot to scale, ensuring timely delivery, effective risk management, and adherence to high standards of data governance, inclusivity, and farmer-centered impact.

Key Responsibilities

• Coordinate all stakeholders, including C4IR, government partners (MINAGRI, RAB, RISA, etc.), and implementation partners to ensure smooth planning and delivery of the agriculture advisory platform.
• Monitor and update implementation timelines, deliverables, and milestones to ensure the project remains on track from piloting through national scale-up.
• Facilitate regular communication, coordination, and knowledge exchange among partners to maintain alignment with government strategies, farmer needs, and national agricultural priorities.
• Oversee project monitoring, evaluation, reporting, and documentation to inform C4IR leadership and government on progress, challenges, and results.
• Ensure data governance, privacy, and responsible AI standards are implemented and maintained throughout the project lifecycle.
• Capture and disseminate lessons learned, success stories, and best practices to support continuous improvement and sector-wide learning.
• Identify emerging risks and operational bottlenecks early, developing and executing mitigation strategies to ensure adherence to scope, quality, and delivery timelines.

Key Qualifications and Experience

• Education: Master's degree in AgriTech, Information Systems, or a related field preferred.
• Experience: Minimum of 5 years in program management of AgriTech solutions or national scale digital transformation projects.
• Technical understanding: Familiarity with AI and digital agriculture solutions, including data-driven advisory systems, weather prediction, and value chain optimization.
• Stakeholder coordination: Demonstrated ability to manage multi-stakeholder projects involving government agencies, private sector partners, and research institutions.
• Program delivery: Proven experience leading initiatives from design to implementation and scale-up, with a focus on measurable impact and sustainability.
• Data and ethics: Understanding of responsible data use, privacy regulations, and AI ethics within the agricultural context.
• Communication and leadership: Strong facilitation, negotiation, and relationship-building skills, with the ability to work effectively across technical and policy environments.

Our Values

1. Responsible impact: We take initiative aligned with institutional and personal goals. We solve problems with practicality, efficiency, and rigor. We create opportunities that broaden and maximize impact for our stakeholders.
2. Technical excellence: We think and act innovatively
   We contribute expertise valued by others.
3. Principled collaboration: We believe in empathy and empowerment of self, colleagues and external stakeholders. We establish trust-based relationships and collaborate effectively with internal and external stakeholders.
4. Effective communication: We engage and communicate effectively with all audiences.

• Coordinate all stakeholders for smooth planning and delivery of the agriculture advisory platform
• Monitor and update implementation timelines and milestones
• Facilitate communication and knowledge exchange among partners
• Oversee project monitoring, evaluation, and reporting
• Ensure data governance and responsible AI standards
• Capture and disseminate lessons learned and best practices
• Identify and mitigate operational risks

• Technical understanding of AI and digital agriculture solutions
• Stakeholder coordination skills
• Project delivery experience
• Data governance and ethics knowledge
• Communication and leadership abilities

• Education: Master’s degree in AgriTech, Information Systems, or related field
• Experience: Minimum 5 years in program management of AgriTech solutions
• Technical understanding of AI and digital agriculture solutions
• Stakeholder coordination experience
• Project delivery experience
• Data and ethics knowledge