Manager Monitoring & Evaluation (M&E) Data & Research, IRD, Karachi

IRD Global Health, Research and Development, Singapore for Electronic Medical Record (EMR) Support, Deployment and Optimization                        Qualification:

• Master’s degree in Public Health, Epidemiology, Health Systems, Biostatistics, or a related fieldMaster’s degree in Public Health, Epidemiology, Health Systems, Biostatistics, or a related field

Experience:

• 5+ years of progressive experience in M&E, research, or data analytics within non-profit, development, or public health programs.
• Demonstrated success in designing and implementing M&E frameworks and operational research in multi-site, donor- funded settings. Experience leading multidisciplinary data teams and managing end-to-end evaluation processes.
• Proven ability to translate evidence into programmatic or policy recommendations. Familiarity with data visualization, digital health platforms, and mixed-methods research design (preferred).
• Strategic thinking with strong analytical and conceptual ability.
• Demonstrated expertise in M&E systems design, data management, and research oversight. Excellent technical writing skills for donor reports, abstracts, and manuscripts

Jobs Responsibilities:

• Provide technical and strategic leadership in developing M&E frameworks, data systems, and learning agendas that align with the program’s person-centered integrated care model and donor priorities. Oversee data quality audits, indicator tracking, and outcome reporting to ensure accuracy, completeness, and timeliness across multiple sites and disease domains.
• Translate quantitative and qualitative data into actionable insights for project teams, government stakeholders, and donors through briefs, presentations, dashboards, and publications.
• Lead or co-lead implementation research studies that inform program adaptation and scale-up; coordinate with academic partners on protocol development, IRB submissions, and manuscript writing.
• Guide the optimization and integration of digital data systems (e.g., DHIS2, Power BI dashboards), ensuring usability, interoperability, and responsiveness to field realities.
• Mentor field-based data teams on indicator interpretation, data visualization, and adaptive learning.
• Strengthen analytical capability within district teams to promote data-driven decision-making.
• Represent the project in technical working groups, evaluation forums, and research consortia; contribute to donor reports, abstracts, and policy dialogues that highlight program evidence and innovation.