Monitoring Evaluation and Learning Manager

Employer: Village Enterprise

Industry: Nonprofit/International Development/Social Entrepreneurship

Function: Support management of Monitoring, Evaluation and Learning (MEL) activity

Job Title: Monitoring, Evaluation and Learning Manager

Contract: Full Time, 2 years with opportunity to extend

Reports to: Vice President – Impact

Job Location: Soroti or Gulu, Uganda

About the Job:

Village Enterprise seeks a dynamic and passionate individual to support development and management of robust Monitoring, Evaluation and Learning (MEL) programming across Uganda.

Job Description:

MEL Management: (65%)

· Monitor implementation of MEL programming

· Support refinement and development of data collection instruments, including survey development in TaroWorks

· Work to increase effectiveness and quality of data collection policies and processes

· Identify tools, resources, and best practices to help improve MEL programming

· Contribute to ongoing MEL-related professional development for MEL and other staff

· Manage MEL staff as needed

o Work closely with VP-Impact to prioritize and oversee projects for MEL staff

o Help design and manage work schedules for MEL staff

o Guide MEL staff in prioritizing data collection needs

· Analysis and Reporting

o Ongoing data cleaning and analysis

o Collaborate with VP-Impact to develop and implement reporting structure for operational and external reporting needs

o Work closely with VP-Impact in creating and adhering to MEL reporting schedule for Board of Directors and partners

· Improve and package MEL Onboarding processes for MEL positions

· Provide orientation and onboarding support for MEL staff

Information Management: (15%)

· Develop expertise in TaroWorks and Salesforce management

· Lead ongoing data monitoring and cleaning efforts

· Provide assistance for integration of forms and surveys into TaroWorks

· Support core program use of Salesforce for program management and reporting

· Provide M&E staff with technical support for maintaining data collection devices as needed

· Assist in creation and management of MEL information storage systems and ensure MEL data is backed-up on an ongoing basis

Reporting, Communications and Fundraising Support: (15%)

· Support creation of weekly, monthly, and quarterly reports as needed and upon request

· Draft reports, white papers, and grant proposals through collaborative writing and editing as requested

· Manage relationships with partners as requested

· Represent Village Enterprise in Partnership/fundraising meetings as requested

· Support fundraising efforts as requested

Administration: (5%)

· Provide management oversight and leadership, as requested by, and in collaboration with, the East Africa Field Management Team

· Participate in and contribute to mid-management meetings when applicable

· Support general operations as needed

Safeguarding:

Safeguarding is everyone’s responsibility at Village Enterprise. However, the MEL Manager is expected to escalate any safeguarding issues identified in the field to the F&A Coordinator or the Director of Talent Management.

EDUCATION:

· Master’s Degree in Monitoring and Evaluation, Economics, Statistics, International Development, Community Development, Development Studies; or a related field.

· Possession of Bachelor’s degree in one of the above listed academic fields with relevant post graduate qualification in Monitoring and Evaluation coupled with three or more years of field experience conducting monitoring and evaluation for social impact programming is also considered.

EXPERIENCE:

· Three years of experience conducting monitoring and evaluation for social impact programming.

· Experience conducting data quality assessments and with cleaning data, Experience supervising data collection and teams of field workers

· Experience working as part of a diverse team with the ability to work via email, phone, Skype, and other virtual communications

· Experience with Salesforce and/or TaroWorks

· Experience using Stata (do-files) to clean and analyze large datasets is a MUST.