Role Overview

The Senior Consultant will integrate AI and data analytics into digital platforms to support evidence-based decision-making. This role involves developing MEL frameworks, performance dashboards, learner analytics systems, and business intelligence solutions.

Key Responsibilities

• Develop and implement AI-enabled digital platforms and business intelligence solutions.
• Design monitoring and evaluation frameworks, dashboards, and performance reporting systems.
• Apply data analytics and visualization techniques to support evidence-based decision-making.
• Develop learner analytics, competency assessment models, and decision support systems.
• Support institutional MEL capacity building and performance measurement.

Qualifications and Experiences:

• Master’s Degree in Artificial Intelligence, Data Science, Statistics, Computer Science, Monitoring & Evaluation, or a related discipline.
• Microsoft AI Engineer, Google Professional Machine Learning Engineer, PMD Pro, or equivalent professional certification.
• At least 8 years of experience in AI-enabled digital platforms, business intelligence, analytics, and data visualization.
• Experience developing monitoring and evaluation frameworks, dashboards, and performance reporting systems.
• Experience in learner analytics, competency assessment, and evidence-based decision support systems will be an added advantage.

Applicants should demonstrate:

• Experience delivering complex ICT or digital transformation assignments.
• Strong report writing and presentation skills.
• Experience working with government agencies, financial institutions, higher education institutions, or development partners.
• Excellent communication and stakeholder engagement skills.
• Experience working in Eastern Africa or similar regional contexts is desirable.

• Develop and implement AI-enabled digital platforms and business intelligence solutions.
• Design monitoring and evaluation frameworks, dashboards, and performance reporting systems.
• Apply data analytics and visualization techniques to support evidence-based decision-making.
• Develop learner analytics, competency assessment models, and decision support systems.
• Support institutional MEL capacity building and performance measurement.

• Data analytics
• AI integration
• Monitoring and evaluation
• Statistical modeling
• Data-driven reporting
• Data visualization
• Report writing
• Presentation skills
• Communication skills
• Stakeholder engagement skills

• Master’s Degree in Artificial Intelligence, Data Science, Statistics, Computer Science, Monitoring & Evaluation, or a related discipline.
• Microsoft AI Engineer, Google Professional Machine Learning Engineer, PMD Pro, or equivalent professional certification.
• At least 8 years of experience in AI-enabled digital platforms, business intelligence, analytics, and data visualization.
• Experience developing monitoring and evaluation frameworks, dashboards, and performance reporting systems.
• Experience in learner analytics, competency assessment, and evidence-based decision support systems will be an added advantage.
• Experience delivering complex ICT or digital transformation assignments.
• Experience working with government agencies, financial institutions, higher education institutions, or development partners.
• Experience working in Eastern Africa or similar regional contexts is desirable.