Data & AI Analyst

The International Potato Center (CIP) is seeking an innovative and results-driven Data & AI Analyst to support the design, development, and deployment of digital, data science, and artificial intelligence solutions that enhance research impact and decision-making across CIP programs.
About CIP
CIP, a member of the One CGIAR, a global research partnership for a food-secure future. One CGIAR science is dedicated to transforming food, land, and water systems in a climate crisis, and it is carried out by 13 CGIAR Centers/Alliances in close collaboration with hundreds of partners, including national and regional research institutes, civil society organizations, academia, development organizations, and the private sector.
About The Role
This position has been established to respond to increasing demand for digital innovation, data engineering, visualization, and AI-driven solutions within CIP’s Scaling for Impact / Digital & Data portfolio. This role will contribute to building CIP’s Digital & Data Services for Impact in Africa and strengthening global digital initiatives.
The successful candidate will lead the development of data platforms, dashboards, AI integrations, and digital certification systems that support agricultural research and field implementation.
This position will be based in CIP’s Nairobi, Kenya office and will report to the Digital & Data Services for Impact team.
Key Responsibilities

• Design and build automated dashboards, interactive maps, and advanced data visualisations for CIP digital platforms, including Varscout and other applications.
• Develop APIs, MCP servers, and custom integrations to connect CIP knowledge assets with AI-powered tools such as Digital Green’s Farmer.Chat and other conversational AI assistants.
• Lead the end-to-end development of the CIP Clearinghouse platform for organizing, discovering, and sharing research outputs with AI-enabled search and visualisation capabilities.
• Design and implement digital, AI-based certification systems (e.g., Potato Zero and Mulching initiatives), including data collection workflows and compliance verification systems.
• Develop and manage databases, ensure proper data architecture, and support data integration across platforms.
• Collaborate with researchers, project teams, and external partners to translate requirements into scalable technical solutions.
• Ensure secure, efficient, and scalable digital infrastructure aligned with CIP’s digital policies and standards.
• Contribute to machine learning model development and deployment where applicable.
• Provide technical documentation, user guidance, and knowledge transfer to internal teams.
• Stay up to date with emerging AI, data engineering, and digital transformation trends relevant to agricultural research.

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