Main Functions

Coordinate large-scale studies and assessments in multiple Member States and Regional Economic Communities (RECs) in the livestock sector.
Undertake data analytics to support decision making and policy reform.
Provide technical support and mentoring for improved digital capacities.
Support the implementation of the harmonized data management strategies and ecosystems in the livestock sector.
Ensure the requisite digital infrastructure, institutional and technical capacities are built for operationalization.
Support improvement in data ecosystems including architecture, governance and management processes.
Support systematic capacity building for data ecosystems and analytics.

Specific Responsibilities

Take the lead in designing and methodological work for the RAFFS Project assessments.
Promote operationalization of data management platforms and ecosystem at continental, regional and national 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 response 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.
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 processes.
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.

Required Skills

Good networking skills and ability to maintain positive and constructive dialogue and relationships with key institutions operating in the regions;
Self-starter with the ability to strategically plan own work and follow-up on implementation;
Sector related project development, management and implementation skills at national, regional and continental levels;
Very strong writing, analytical and communication skills are necessary;
Ability to complete assignments and tasks on time;
Demonstrated ability to provide strong leadership and foster team environment is required.

Competences

Strategic Perspective
Developing Others
Change Management
Managing Risk
Building Relationships
Learning Orientation
Communicating with impact