Education:

• A minimum of Master’s in Artificial Intelligence, Applied Data Science, Computer Science or related field.
  
• AI Certification.
  
• Certified Prompt Engineer Certification.
  

Skills and Experience:

• A minimum of 5 years experience in design, implementation and rollout of AI models.
  
• A minimum of 3 years hands-on experience in research, design, development, training and implementation of multimodal GenAi models
  

• The Dashboard Specialist will play a crucial role in the Kenya Primary Literacy Program (KPLP) by developing comprehensive data analytics, impact reports, and interactive dashboards in accordance with counterpart and EDC standards. This individual will collaborate with multiple teams to ensure the effective presentation and analysis of project data, contributing significantly to the monitoring and evaluation of the program's impact. This position requires a candidate who is collaborative, detail-oriented, analytical, and skilled in communicating complex data concepts in a clear and understandable manner. The Dashboard Specialist will report to the MEL Specialist and will be based in Nairobi.
  
• The Dashboard Specialist’s responsibilities will include, but are not limited to:
  
• Collaborate with government counterparts and various teams to design and implement data models, shared datasets, and interactive dashboards, primarily using Power BI, ensuring optimization for usability, performance, flexibility, and standardization.
  
• Develop and maintain advanced Power BI reports and dashboards, incorporating best practices in data visualization and user experience design.
  
• Write complex Data Analysis Expressions (DAX) and SQL scripts for detailed project reporting and analysis, enhancing the depth and accuracy of data insights.
  
• Assist in the creation of data analytics and impact measures for ongoing performance monitoring, including the analysis of data to provide meaningful insights and real-time reporting.
  
• Train and provide oversight to personnel in data modeling, analytics, reporting, and analysis; conduct workshops and training sessions to enhance team capabilities in these areas.
  
• Facilitate meetings and coordinate collaborative efforts with internal and external teams, ensuring alignment and efficiency in data-related activities.
  
• Mentor and guide new team members in best practices for dashboard creation and data utilization, fostering a culture of continuous learning and improvement.
  
• Prepare data and information for project quarterly and annual reports, and other data as required.