Monitoring Evaluation Specialist (BS-17)

Social Welfare &

Lahore

On-site

PKR 1,800,000 - 2,400,000

Full time

3 days ago
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Job summary

Social Welfare & Bait ul Maal Department seeks Monitoring Evaluation Specialist (BS-17) to lead M&E for poverty alleviation and social protection schemes. You will design M&E frameworks, manage data collection tools, and validate beneficiary databases to ensure accountability and evidence-based policy updates.

The role includes developing MIS dashboards, preparing quarterly and donor reports, and training district staff on data quality and reporting timelines.

Qualifications

  • Master’s degree in Economics, Statistics, Social Sciences, or PM.
  • Experience in designing M&E frameworks and data-collection tool development.
  • Experience validating beneficiary databases against CNIC records.

Responsibilities

  • Design and operationalize M&E frameworks including logframes, PIRS, and data flow maps for all schemes.
  • Conduct field monitoring visits to welfare facilities to verify progress against targets.
  • Develop and maintain the MIS with real-time data entry and dashboard generation.

Skills

M&E framework design
Data validation
Training & capacity building

Education

Master's in Economics
Master's in Statistics
Master's in Social Sciences
Master's in Project Management

Tools

KoboToolbox
ODK
MIS dashboards

Job description

The Monitoring Evaluation Specialist (BS-17) in the Social Welfare & Bait ul Maal Department serves as the technical lead for tracking performance of poverty alleviation, rehabilitation, and social protection schemes. The role entails designing M&E frameworks for initiatives such as Zakat distribution, Bait-ul-Mal individual financial assistance, vocational training centers, and welfare homes to ensure transparency, accountability, and evidence-based policy adjustments across provincial and district tiers.

Daily workflows involve developing data collection tools on platforms like KoboToolbox or ODK, conducting spot-checks at district offices and welfare institutions, validating beneficiary databases against NADRA CNIC records, and updating centralized Management Information Systems (MIS) dashboards. The specialist prepares quarterly progress reports for the Secretary and donor agencies, facilitates third-party evaluations, and trains district monitoring officers on indicator definitions and reporting timelines. Career progression follows the standard BS-17 to BS-20 trajectory through departmental promotion committees and mandatory mid-career training programs.

Selection follows the Category A Written Screening Examination cadre: a 100-mark MCQ paper covering General Knowledge (20), English (20), and Core M&E/Subject Specialization (60). Candidates scoring the qualifying threshold are shortlisted on merit for document verification of academic degrees (Master's in Economics, Statistics, Social Sciences, or Project Management) and experience certificates. The final merit list is determined by the Departmental Selection Committee (DSC) interview assessing technical proficiency, situational judgment, and knowledge of departmental rules.

Key duties and responsibilities:
  • Design and operationalize comprehensive M&E frameworks including logframes, performance indicator reference sheets (PIRS), and data flow maps for all departmental schemes
  • Conduct routine and surprise field monitoring visits to Dar-ul-Amans, vocational centers, and cash disbursement points to verify physical progress against targets
  • Develop and maintain the departmental Management Information System (MIS) ensuring real-time data entry, disaggregation by gender/district, and automated dashboard generation
  • Prepare high-quality quarterly, annual, and donor-specific narrative and financial progress reports highlighting variances, lessons learned, and corrective actions
  • Lead baseline, midline, and endline evaluations including Terms of Reference (ToR) drafting, consultant management, and quality assurance of evaluation deliverables
  • Build capacity of district monitoring officers through structured training workshops on data quality assurance, ethical data collection, and reporting protocols
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