Information Systems and Data Analytics Expert (P3 Level) at African Union - InterAfrican Bureau for Animal Resources

• Undertake data analytics to support decision making and policy reform.
• Support the implementation of the harmonized and or standardized data indicators, data management strategies in the feed and fodder sub-sector.
• Support improvement in systemic capacities in data ecosystems including architecture, governance and management processes.
• Provide technical support and mentoring for improved digital capacities.
• Ensure the requisite digital infrastructure, institutional and technical capacities are built for operationalization of feed and fodder data information systems.
• Support evolution of capacities to generate dashboards and to operate functional data as a service business digital applications.
• Coordinate reporting on large-scale studies and assessments in multiple Member States and Regional Economic Communities (RECs) in the livestock sector.

• Promote operationalization of data management platforms and ecosystems at national levels, and integration at regional and continental levels.
• Take lead in working with the Member States in consultative processes to support implementation of country-action plans for improved data management systems for enhanced capacities to respond to feed and fodder shortages.
• Improvement and support of integrated multi-actor data infrastructure upgrade and capacity development for the implementing Member States.
• Build systemic capacity for data analytics for decision making, policy, regulatory and institutional reform and attracting increased investment.

• Facilitate capacities for development of functional dashboards and data as a service business digital applications.
• Facilitate institutionalization of the data ecosystem for sustainability.
• Support analytics and reporting on the RAFFS Project large scale assessments.
• Submit a monthly progress report on the implementation of this contract

• A minimum of post-graduate University degree (Master’s degree) in Computer Science or Information Technology or related degree. A PhD will be considered as an added advantage.
• Professional qualification in Data Science or Statistics.
• Any other relevant industry professional certification (e.g. System Engineer, Digital Transformation, etc).

• Proven experience in implementing Big Data analytics project (s).
• Minimum of five (5) years’ experience at senior level and in managing complex agriculture and livestock data process.
• Experience in identification and application of digital innovation and technologies in agriculture or livestock industry.
• Experience in managing agricultural data as a service, including advancing the use of mobile applications.

• A Letter of Interest highlighting competence and suitability for the Position
• Detailed curriculum vitae
• Copies of academic and professional qualifications
• Completed declaration on exclusion criteria in the format attached
• Copies of identification documents

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