The Senior Technical Advisor M&E will lead data collection efforts by providing guidance and tools to ensure that quality data are collected and reported in an efficient and effective manner. The Advisor will guide and mentor M&E staff and liaise with Department of Health (DoH) counterparts to improve information management oversight, driving continuous quality improvement within data management for reporting.
Quality Data Collection and Tools
- Define data collection methods and sources for each programme indicator.
- Define a data collection schedule in accordance with programme management needs.
- Ensure that data flow and internal reporting requirements are defined, and clear guidelines, standard operating procedures (SOPs) and other tools are in place for data collection, aggregation and reporting.
Data Quality Assurance
- Ensure appropriate data quality assurance systems, measures and tools are in place and are monitored at all levels.
- Identify shortcomings in the processes and remedy these by developing protocols to ensure regular, accurate data collection and reporting and continually improve them for efficiency.
- Monitor adherence to reporting timelines as well as quality of data reported.
- Work closely with the Public Health and the Data/Reporting Teams to ensure that all programme data are reported according to the required quality standards and timelines.
- Build capacity and provide supportive supervision for the company and DOH M&E staff on data collection and management, reporting processes, systematic use of defined tools and M&E.
- Develop training curricula and provide training for M&E staff.
- Build capacity of the programme teams to use data in a strategic manner to inform programme decision making.
Supervision and Mentorship of Programmatic M&E teams
- Support M&E teams to set performance objectives and provide mentoring and coaching.
- Hold regular meetings with the M&E managers and M&E staff seconded to DOH to ensure alignment across the programme.
- Creating a cohesive team environment through fostering open communication and providing constructive feedback.
Qualifications and experience required
- A Master’s degree in management, monitoring and evaluation, analytics or a related field is required.
- Minimum of eight years of progressively responsible work experience in designing, establishing, and managing monitoring and evaluation systems, ensuring data quality, and managing data-intensive, performance-based programmes, preferably large-scale PEPFAR-funded programmes.
- Minimum of six years’ experience focused on operationalising performance indicators and, preferably, working within/extracting data from DATIM, TIER.Net, PHCIS, etc.
- Experience in leading and motivating a team composed of several interdisciplinary technical experts, and to be adept at managing competing deadlines and priorities.
- Ability to work across business units and capture and disseminate lessons learned to ensure the continual improvement of data collection processes and outputs.