Director of Strategic Information (DSI) at Guildance Community Development Foundation

Job Description 

• The DSI will be the lead technical expert responsible for all SI aspects of the Activity, including monitoring, evaluation, analytics, and reporting of performance and results. S/he will lead efforts to ensure accurate and timely performance reporting for the Activity.
• This includes overseeing support to community organizations to monitor, document and analyze the performance of their OVC and HIV services and activities and ensure data quality. S/he will liaise with relevant technical advisers and counterparts responsible for state and LGA level SI functions; and will ensure monitoring and evaluation coordination with PEPFAR and national data systems.
• The DSI will be skilled in the development and use of data/data analytics to aid program decision making, with demonstrated ability to perform robust data extraction from internal and external information systems.
• S/he will have the ability to perform complex data analytics utilizing Microsoft Excel, STATA, and/or Business Intelligence tools, making recommendations based on findings. S/he will be able to portray complex data sets in easy to understand formats/visualizations.
• The DSI will have a working knowledge of Nigeria’s health and social service information systems and M&E processes as it relates to data collection for performance based reporting, with understanding, experience and competency in working with OVC and HIV community-led organizations.
• S/he will have knowledge and working experience in the use of mapping and other similar tools (including computer software programs) to target program interventions and resources; and excellent written and oral communication skills in English.

Minimum Qualifications

• Bachelor's degree in Public Health, Epidemiology, Social Work, Monitoring & Evaluation, Demography, Biostatistics, Statistics, Analytics or a related field is required. A Master’s degree preferred.
• Five (5) years of experience in USG-funded programs designing, establishing, and managing M&E systems, ensuring data quality, and managing data intensive, performance-based programs.