Main Functions

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.

Specific Responsibilities

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.

Promote sustainable planning and data management of the feed and fodder sub-sector ecosystems.

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

Academic and Professional qualifications

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).

Relevant Experience.

Minimum of five (5) years of progressive work experience in the field of digital innovation, digital strategies, digital change management and corporate ICT services in agriculture/livestock industry.

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.