Senior Technical Advisor: Monitoring & Evaluation (M&E)

SUMMARY:
Senior Technical Advisor: Monitoring & Evaluation (M&E)

POSITION INFO:

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 DoH counterparts to improve information management oversight, driving continuous quality improvement within data management for reporting.

The Senior Technical Advisor M&E will provide technical guidance on the design, development and implementation of the M&E plan, build capacity at all program levels to develop, manage and operationalize M&E systems and plans that are aligned to program strategy, to allow for quality reporting and dissemination. The Senior Technical Advisor M&E will provide guidance and tools to ensure high quality and accurate data are collected for analysis and reporting purposes; assist in monitoring and reporting against  projects’ performance indicators, key outputs and results; develop methods and milestones to monitor the project’s progress towards its goals, and; contribute to program strategy to ensure that activities and assignments are carried out as planned and the program objectives are being achieved.

Key duties and Responsibilities
Quality Data Collection and Reporting co-ordination

• Define data collection methods and sources for each program indicator
• Define a data collection schedule in accordance with program management need
• Ensure that data flow and internal reporting requirements are defined, and clear guidelines, SOPs and other tools are in place for data collection, aggregation and reporting
• Standardize paper tools, electronic systems (DOH & Program) and SOPs to ensure they are harmonized across all sites for data collection, processing and analysis
• Ensure data sources collect the required information to the agreed minimum quality standards

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

Data Analysis and Reporting for Program Performance Improvement

• Monitor adherence to reporting timelines as well as quality of data submitted
• Work closely with the Public Health and Data /Reporting Teams to ensure that all program data are reported according to the required quality standards and timelines
• Ensure correct and complete weekly, monthly, quarterly reports are submitted on time
• Analyse weekly, monthly, quarterly programme data and provide performance against targets and other reports to implementation teams as required
• Provide data analytic support to M&E managers and other programme team members as required

Essential qualifications and experience

• A Master’s degree in management or monitoring and evaluation or analytics or a related field is required
• Minimum of 8 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 operationalizing performance indicators and, preferably, working within/extracting data from DATIM, TIER.Net, PHCIS, etc.
• Experience in leading and motivating a technical 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
• Ability to portray complex data sets in easy-to-understand formats including visualizations
• Working knowledge of South Africa’s health information systems and monitoring and evaluation processes as they relate to data collection for performance-based reporting on the NSP

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