Information Management Specialist

To be successful in this role, you must have at least 5 years’ experience in Information Management, database design/administration. Moreover, we also expect the following. 

Required 

• Bachelor’s degree in Data Science, Computer Science, Information Management, Information Technology, or related field. A Master’s Degree is an added advantage 
  

• Proficiency in data collection platforms (Kobo Toolbox, ODK, Survey, CTO, CommCare).  
  

• Expertise in data analysis tools and packages such as Excel, Access, SPSS, Power BI, NVIVO, & Atlas.ti.  
  

• Hands-on of mapping tools such as GIS and other spatial analysis tools.  
  

• Ability to train and build capacity of team /other on IM systems. 
  

• Knowledge in quantitative and qualitative research approaches.  
  

Information System Development and Management: 

• Lead the design, development, and implementation of information management systems, ensuring they meet DRC's data collection, capture, analysis and reporting needs across all projects and sectors.
  

• Translate program logical frameworks, indicators, and donor requirements into structured data systems and workflows including development of tools, templates and database in the IMS
  

• Define data flows, user roles, access controls, and system architecture for both online and offline environments. 
  

• Maintain and regularly update DRC's information systems and ensure interoperability between tools (e.g., Kobo, Power BI, Excel, central databases).
  

Data Collection, Analysis, and Reporting: 

• Design advanced digital data collection tools both online and offline including: complex skip logic, constraints, validation rules, and preloaded datasets (e.g., beneficiary lists)
  

• Pilot, test and refine digital data collection tools before deployment to field teams and troubleshoot data collection issues in real-time during field exercises.
  

• Manage server configurations, form deployment and user permissions of the information management system (s)
  

• Conduct descriptive, inferential and trends analysis to support project performance indicator monitoring.
  

• Work closely with the Area MEAL Team, Technical and Implementation team, to ensure design and implementation of robust data analysis frameworks for surveys, assessments, evaluations, and monitoring results, ensuring high-quality insights that inform program performance and strategic decision-making. 
  

Capacity Building and Support: 

• Develop structured training plans for staff on the information management system navigation, digital data collection tools, data quality standards, analysis and visualization.  
  

• Provide ongoing hands-on technical backstopping support to program, technical and implementation teams and MEAL team on information management processes, systems and tools ensuring they can effectively collect and manage program data.
  

• Assess and build IM capacity of local partners. 
  

• Act as the internal technical lead on all IM-related issues. 
  

 Data Quality and Protection: 

• Ensure data protection, compliance and confidentiality are maintained in line with DRC's data protection policies and international standards (e.g General Data Protection Regulation principles)
  

• Conduct data risk assessments, including mitigation plans for sensitive data (e.g protection cases) 
  

• Develop and implement data quality assurance processes to ensure the accuracy, reliability, and timeliness of data collected across programs. 
  

Collaboration and Coordination: 

• Work closely with program teams, MEAL, IT department and partners to ensure data needs are met and systems are integrated into broader program strategies.
  

• Coordinate with external partners, including UN agencies, NGOs, and government bodies, to ensure data sharing and reporting are aligned with national, international, & sector frameworks, donor standards and requirements.  
  

• Represent DRC in Information Management Technical Working Groups (TWGs) and coordination forums. 
  

Monitoring, Evaluation, Accountability, and Learning (MEAL) Support: 

• Collaborate with the MEAL team to ensure that information management activities support wider monitoring, evaluation, accountability, and learning goals. 
  

• Support needs assessments, baseline/endline studies, and evaluations with robust analytical approaches.
  

• Assist in documenting success stories, evidence briefs and case studies from program data, ensuring these insights inform future program design and implementation.