Deadline To Apply: Rolling Basis

• All ongoing program monitoring needs met (including M&E design and quality data collection)
• Programs delivered with access to timely and useful data for day-to-day programmatic planning and decision making
• Analysis and research conducted to support program improvements (including operation research, market research and cost-efficiency analysis)
• Support with timely, useful and clear information for evidence-based decision making (including provide support to connect the dots)
• Support provided to regional leadership for new programs and partnerships for exploration and evaluation
• Standards, systems and processes setup for delivery of all functions (monitoring, analysis, research, information systems and quality data)The MLIS team works towards these outcomes through four sub-teams that work closely together to deliver quality, timely and useful information:
• Learning and Communication (L&C): This team is responsible for supporting the program teams with timely information in innovative, useful and clear ways to translate analysis and research to evidence-based decision making and action.
• Monitoring, Analysis and Research (MAR): This team is responsible for ensuring that all ongoing program monitoring needs are met and analysis and research is conducted to support program improvements.
• Management Information Systems (MIS): This team is be responsible for ensuring that the all programs have access to timely and useful data for day-to-day programmatic planning and decision making through a cloud-based multi-user system.
• Data Quality and Management (DQM): This team is responsible for ensuring access to quality and timely data to meet all ongoing program needs; including monitoring, information systems and analysis and research.

• Ensure timely, useful and quality data collection, including quantitative and qualitative data, electronic and paper surveys, and scientific data (e.g. water testing, carbon monitoring etc).
• Work with program teams to train and manage all staff collecting data to ensure quality data collection; including tracking all data collection activities and conducting back-checks/spot-checks
• Develop standardized data collection instruments; for electronic data collection (ODK), phone survey and field-based paper surveys.
• Coordinate and plan for efficient and cost-effective data collection for all programs across countries
• Develop databases for data entry and manage data entry, process and clean data using STATA and develop and maintain a system of systematic and secure storage
• Identify and provide recommendations for innovative and cost-efficient methods of improving quality of data for programs and ensure that all DQM activities are budgeted for in close collaboration with AD – MLIS

• Setup minimum standards and best-practices for collecting, processing, cleaning, and organizing data; including conducting back-checks/spot-checks and documentation of field activities.
• Build innovative systems and tools to train staff and plan activities
• Develop management guidelines for task management of program field staff

• Develop DQM team structure and ensure smooth transition of all existing team members to new structure.
• Manage DQM team members, including attracting and retaining excellent DQM team members and ensure the ongoing development of their professional skills and capabilities.
• Ensure that DQM team members uphold and promote a service-oriented and client-driven approach to their relationships with programs.

• Collaborate closely with other sub-team members to ensure that useful and quality data is collected and provided in a timely and cost-efficient fashion
• Provide guidance to IT team on hardware and software requirements to collect timely and quality data.
• Work closely with the procurement team to procure necessary material for data collection (e.g. water testing kits)

• Bachelor’s/Master’s degree in a relevant field with strong economics, statistics, or other analytical and quantitative training;
• Strong technical skills and capacity, with at least 2 years of practical experience managing and working directly with large teams and data;
• Knowledge of STATA (preferred), SQL or other statistical data management software; electronic data collection software like ODK, Blaise etc. and data entry software like CSPro and the ability to quickly learn new software for data management
• Strong management skills and capacity to motivate, train and manage a large team of field staff working across multiple offices in the region for multiple programs
• Self-directed and self-motivating personality, with proven ability to manage demands from multiple clients while adhering to deadlines and priorities;
• Demonstrated system building skills to consistently deliver quality data
• Naturally inquisitive, skeptical, intellectually curious, detail-oriented and organized;
• Proven leadership experience in Africa and experience working with a cross-cultural team, ideally in Kenya/East Africa;
• Inspired by Evidence Action’s mission to bring proven interventions to scale, improving the lives of millions;
• A strong commitment to evidence-based practice and policy in the development field; and
• The ability to lead in an innovative organization and quickly-changing environment.
• An ability to operate effectively with ambiguity, and to thrive as a part of a dynamic and evolving leadership team
• A sense of humor and excitement to be part of an engaged and intellectually stimulating work environment