DAI - Land Registration in Merged Areas (LRMA)
Monitoring and Evaluation and Collaborating, Learning, and Adapting Lead
DAI - Land Registration in Merged Areas (LRMA)
Posted date 18th October, 2021 Last date to apply 28th October, 2021
Country Pakistan Locations Peshawar
Category Monitoring & Evaluation
Type Contractual Positions 1
Status Closed

Overview of the Position:

The MEL & CLA Lead will design, manage, strengthen and provide technical and strategic direction to the program’s MEL/CLA strategy and framework. This includes developing a robust MEL system, and process for reporting aligned to the program log-frame and workplan. They will be responsible for overseeing program monitoring, data collection and reporting across MEL indicators linked to program outcomes and outputs. They will work closely with the technical specialists to collect and process data and drive an adaptive and learning culture within the team. They will be responsible for compiling regular M&E/CLA reports (and other ad hoc reports) to be submitted to the COP and client.

Roles and Responsibilities:

M&E Lead’s specific responsibilities will include, but are not limited to the following:

  • Develops and rolls-out the LRMA M&E and Learning plan, including development and dissemination of materials and reports
  • Oversees development of LRMA’s Performance Management Plan (PMP)
  • Leads development of data collection tools and methodologies based on the defined indicators
  • Works across LRMA to promote a culture of learning and adaptation activities and document learning
  • Lead the MEL team to develop indicators and targets by province/district and technical intervention for USAID approval, and establish methodology for gathering baseline data that incorporates gender
  • Supervise and provide guidance to MEL team
  • Collect data via a variety of tools and methodologies at the regional/field level for project results tracking and reporting
  • Design and develop all of the project MEL deliverables, providing vision and leadership for collaborative learning and adaption initiatives, inclusion of CAM and causal model methodologies
  • Implement MEL methodologies and systems, and associated capacity building of all regional MEL staff
  • Develop MEL sections of the annual work plans, quality assurance surveillance plan, special surveys, and baseline assessments; provide input into all project reporting deliverables
  • Other duties as assigned by the supervisor

Additional Responsibilities

LRMA’s adaptive management will be informed by data-driven MEL and CLA approaches. Below are examples of MEL/CLA initiatives to be undertaken under LRMA (these approaches will be further detailed in the MEL plan delivered within 60 days after receipt of the Notice to Proceed), developed by the MEL/CLA Lead. The following initiatives will be largely overseen by the MEL/CLA Lead.

  • Annual stakeholder learning sessions: LRMA will convene annual stakeholder learning sessions at which international donors, other USAID implementing partners, USAID/Pakistan, GoKP stakeholders, and LRMA partners and staff will convene to discuss lessons learned and best practices. Participation in some sessions will be tailored to facilitate open discussion around sensitive topics. This approach will create a learning culture, facilitate adaptive management, ensure complementarity of efforts, and reinforce local participation.
  • Quarterly staff learning sessions: Each quarter, LRMA staff will convene to discuss programmatic and operational learning. This will ensure efficient, effective implementation; that all LRMA teams are working in lockstep; and that the project is able to readily identify  and adapt based on successes, challenges, and changes in context.
  • Routine program monitoring: While the MEL/CLA team will have primary responsibility for program monitoring, all project staff (including SDOs) will contribute to MEL approaches.
  • All staff will receive MEL training, enabling them to conduct spot-checks and identify successes and challenges during site visits. Formal monitoring visits, guided by the use of checklists and short questionnaires developed for each task (including pre-/post-training assessments), will be undertaken by MEL/CLA staff and will be documented in monitoring reports.
  • Perception surveys will be conducted via mobile phone-based surveys to assess citizen perceptions and awareness around the land registration process.
  • Base-, mid-, and end line assessments: LRMA will initiate mixed-methods base-, mid-, and end line assessments in order to assess project effects and impact. The design will be developed in consultation with USAID.

Minimum Qualifications: 

  • A Master’s degree in statistics, economics, development studies, evaluation methodology or related field
  • At least 12-15 years of relevant experience in Pakistan
  • A minimum of 10 years’ experience of donor funded programmes and project teams
  • Experience with USAID-funded programmes
  • Experience leading data-driven MEL and CLA strategies, governance, stabilization, and community engagement in Pakistan
  • Track record in developing M&E tools including surveys and other data collection methodologies and leading assessments
  • Expertise in the creation, measurement, analysis and interpretation of both quantitative and qualitative indicators
  • Demonstrable expertise in capacity building including facilitation of training and coaching on M&E issues and challenges
  • Experience of integrating learning and data use into projects and programmes
  • Excellent writing, reporting and analytical skills                                             
  • Demonstrable ability to work in a culturally diverse environment
  • Excellent oral / written communication skills in English and Urdu. Pashto will be an added advantage.
  • Willing and able to work in a challenging environment and can adapt to changing circumstances and to respond with flexibility and creativity.
  • Computer skills, in qualitative and quantitative tools including proficiency in Microsoft Office suite

DAI is an equal opportunity/affirmative action employer with a commitment to diversity. DAI does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, veteran status, or other non-merit factor.