The Ugandan Jobline

• Actively promote adherence to Mercy Corps’
  standards, including the use of standardized indicators, M&E, program
  and adaptive management approaches, and country-level learning and
  strategic objectives;
• Ensure regional and country level program and
  technical staff mainstream MEL best practices and replicable/scalable
  tools into their work;
• Work in liaison with the program teams to
  identify standard tools and processes to gather, analyze and use data that
  go beyond descriptive reporting and indicator-centric processes to develop
  feedback loops and adapt programs in response to changing conditions on
  the ground;
• Provide support to country teams to improve
  data collection, management, and use to build a culture of adaptive
  management, high-quality program performance, and learning;
• Offer support in the regional roll out of
  Tola (an open-source software built internally to improve how we use program
  data). The process would include: 1) assessing each country’s Tola
  readiness; 2) providing pre-prep support to the next ready country; and 3)
  support the roll out of Tola in that country. This would be repeated in
  all countries in the region;
• Serve as a focal point for the roll out of
  the Mercy Corps ‘Design for Impact Guide’ (DIG) and provide consistent
  coaching and capacity building on the use of the DIG in project design and
  monitoring and evaluation plans;
• Use and train on cutting edge practices in
  design, monitoring, evaluation and learning. Promote use of ICT4M&E in
  the field, including the use of mobile data collection, GIS-mapping, and
  online data management platforms. Support use of new technologies for data
  visualization, presentation, and analysis. Contribute to the understanding
  and application of new DM&E approaches to emerging themes like
  resilience, systems thinking, and complex humanitarian crises.
• Engage in other agency level tools and
  initiatives to ensure regional input and coordinated delivery and
  messaging and consistent high quality implementation in the region.

• Support regional M&E and ICT staff
  capacity building that guides country teams toward developing technical
  skills and promotes a culture of data analysis for decision making and
  adaptive management;
• Actively participate in interviewing and
  orientation of new M&E staff to promote internal data management
  tools, standards and best practices;
• Schedule monthly training sessions for regional
  participation to deepen program staff’s understanding and commitment to
  M&E best practices;
• Serve as the primary liaison point to
  coordinate TDYs. Collaborate with country, regional, and HQ teams to
  identify specific capacity building and coaching opportunities for all
  levels of leadership;
• Act as the key liaison point between Regional
  Office, country teams, and PM@MC teams to coordinate efforts to roll out
  adaptive management and PM@MC training across the region;
• Engage with country programs on M&E and
  the relationship between M&E and program quality.

• Formalize a Regional M&E Working Group
  and ensure effective participation;
• Build a collaborative network of
  relationships for M&E practitioners and other stakeholders learning
  networks that promotes shared learning, aligned approaches, and mutual
  accountability to quality data collection and programming;
• Significantly contribute to the development
  and implementation of knowledge management to further stimulate use of
  evidence for learning, strategic adaptive management, and high-impact
  programming;
• Connect best practices and learning from
  programs across Mercy Corps countries within the region to ensure an
  evolving and effective learning system for improving program implementation.
  Liaise with other HQ and Regional MEL advisors in this initiative;
• Work closely with country M&E teams and
  program/operations teams to capture lessons learned during program
  implementation, and feed this information into thought leadership and
  research opportunities and into ongoing program management and program
  design;
• Collect impact stories and evidence from
  Mercy Corps’ country teams on a regular basis.
• Conduct himself/herself both professionally
  and personally in such a manner as to bring credit to Mercy Corps and to
  not jeopardize its humanitarian mission.

• The applicant must hold an MA in social
  science, international development, or relevant field (with coursework in
  M&E, research and evaluation methodologies, statistical analysis or
  organizational development) or similar field of study.
• The ideal candidate for the Regional
  Monitoring, Evaluation and Learning (MEL) Advisor job placement should
  have a minimum of five to seven years’ experience in international relief
  and development programs, with 3+ years in field postings, and 3+ years
  working for an international agency on monitoring, evaluation, and
  learning.
• Strong technical expertise including passion
  for handling large amounts of data and transforming it into compelling
  visualizations that facilitate analysis and decision-making. Demonstrated
  understanding of intermediate statistics and the ability to summarize,
  generalize, and make predictions from large data sets.
• Broad knowledge and understanding of project
  management, including experience leading program design, implementation,
  and monitoring and evaluation.
• Significant experience managing
  organizational change initiatives in a relief or development context with
  previous Mercy Corps experience strongly preferred.
• Extensive field experience in developing
  practical, useful, timely monitoring systems, both at the program- and
  country-levels that promote use of data for adaptive management and
  learning.
• Previous exposure and experience with a range
  of both private and institutional donors such as EC, USAID, and DFID and
  familiarity with their measurement, reporting, and evaluation
  requirements.
• Comfort working with qualitative and
  quantitative methodologies for data collection and analysis.
• Exceptional analytical and problem-solving
  skills and experience with statistical/graphical software or spatial
  software.
• Proven experience with current technologies,
  such as web-based data management and analysis tools, digital data
  collection, mapping, Google applications, data visualization, interactive
  dashboards, etc.
• Previous exposure and experience in building
  iterative learning systems or feedback loops and approaches in
  human-centered design are strongly valued.
• Significant experience in facilitating
  learning and capacity building across teams.
• Strong group process design and facilitation
  skills, including developing and leading workshops.
• Demonstrated ability to manage and
  communicate effectively with team members of varied work styles;
• High degree of flexibility and creativity in planning
  and problem solving.
• Excellent oral and written communications
  skills in English are required.

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