Evidence Action Data Learning Manager Jobs in Kenya
We are looking for an excellent and intelligent individual who can draw meaningful information and knowledge from data.
In this role, you will also interface between the larger Monitoring and Learning and Information Systems (MLIS) team and the Programs and you will actively promote the use of data for decision-making. You will lead our data innovations initiatives with a view of improving efficiencies in our data processes and usage, from the field to the programs.
You will be joining a diverse and motivated team of data managers and analysts in the Africa region. Your biggest contribution will be your ability to convert key monitoring and evaluations (M&E) outputs to program improvements.
About Evidence Action
Evidence Action scales proven development solutions to benefit millions of people around the world. We fill the gap between knowing 'what works' and having impact at scale.
We implement cost-effective interventions whose efficacy is backed by substantial rigorous evidence. We identify innovative, appropriate financing mechanisms and build best-practice operational models. We voraciously self-evaluate, learn, and improve our models for scaling with a commitment to transparency, impact, and value for money.
Our two flagship programs have reached over 200 million people this year, and one of them has been selected by GiveWell four years in a row as one of their Top Charities worldwide.
Monitoring Learning and Information Systems (MLIS) Team
The MLIS team embodies the evidence-based nature of Evidence Action’s work and enables us to be a data-driven organization. The team provides services across Evidence Action Africa region in meeting the following outcomes:
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 set up for delivery of all functions (monitoring, analysis, research, information systems and quality data)
MLIS provides services across Evidence Action’s Africa Region through three teams that work closely to deliver quality, timely and useful information:
Field Team: Responsible for training, data collection and logistics of M&E activities in the field.
Design and Analysis Team: Responsible for monitoring and evaluation design, data management and analysis. The team ensures that all ongoing program monitoring needs are met and analysis and research are conducted to support program improvements.
Data Learning Team: 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
Duties and responsibilities
Capture and share key learning and performance information across Programs
Create standard M&E and lessons learned presentations for interactive meetings with Evidence Action Programs, and which can be used for stakeholder meetings.
Identify and take advantage of various platforms to represent MLIS and Evidence Action on the regional and global stage as far as data and evidence is concerned, and hence contribute towards data transparency within the organization.
Publish MLIS newsletter on a monthly basis, and making contributions towards other regional and global internal and external publications.
Facilitate Program Engagements with the MLIS team
Conduct regular planning meetings with Program Leads to identify MLIS requirements, lead in programMLIS M&E ‘diagnostic’ i.e. understanding program need for data and translating that back to the MLIS team and seeking out learnings for the program both from the program verticals and functional horizontals in the matrix.
Develop and strengthen tools and platforms of collaboration (eg Asana, Box, Team Calendar, MailingLists, etc), that
Programs can use to engage with MLIS – including making requests for MLIS products and services
Promote culture and spirit of collaboration on the MLIS team
Support Programs with periodic donor reports, including acting as the custodian of various program and donor Key Performance Indicators (KPIs) and coordinating data inputs from MLIS to be included in the reports.
Lead
in the delivery of innovative data solution
Position the internal Management Information System (internally referred to as ProgMIS) as a key internal, innovative data learning and sharing platform.
Facilitate and promote the engagement of Programs with ProgMIS, including making the platform both useful and usable, on boarding new Program staff to the platform, creating incentives for the use of the platform, constantly soliciting feedback and providing support to Program users.
Take the lead in further development, modification and improvement of the existing modules, including designing data visualization templates to increase access to and usability of the data.
Develop and maintain high-quality data flow systems that will ensure efficient (timely and high quality) data flow from the data collection team, to the data management team, to the Management Information System team.
Proactively support the Global Communication team in the development, improvement and maintenance of the organization data dashboards.
Research, Identify, Promote and facilitate the scaling up of proven M&E tools and approaches (data innovation):
Develop practical guidelines for identifying areas that require "data innovation", working through long list of possible solution and piloting/evaluating selected short list of potential/promising solutions.
Collaborate with the other MLIS departments to review current data collection methods/processes and tools for efficiency and effectiveness
Support Monitoring and Evaluation Design:
Support the MLIS’ monitoring design team to design and set up framework for the monitoring and analysis of key performance indicators for the Evidence Action Programs.
Work closely with MLIS departments to access leading international thinking to develop usable and relevant M&E frameworks for Evidence Action Programs.
the lead in conducting secondary research to supplement o
Coordinate and sometimes take the lead in ad hoc field research projects, as need may arise.
Manage the Data Learning & Information Systems Teams, Collaborators and Vendors
Recruit, train and directly manage a team of 3 to 6 senior associates and associates.
Support with the recruitment and management of external MLIS consultants and vendors, as needed.
Directly collaborate with other MLIS departments in the delivery of key MLIS outcomes, including ensuring that MLIS departments are well informed of key monitoring needs and changes from the regional program.
Directly lead professional development of M&E skills and expertise within the MLIS team, by facilitating periodic M&E workshops, identifying learning platforms for the team e.g. identifying and managing appropriate M&E subscriptions.
As needed, act as the point person in our collaboration efforts with partners (other organizations or institutions) across the Africa region, as directed by the MLIS Lead.
Qualifications
Excellent report writing skills, coupled with ability to use infographics to tell data findings, trends, insights and stories – to both data savvy and non-data savvy audience.
Extensive knowledge of data visualization and presentation software
Bachelor’s degree (Master’s preferred) in economics, statistics or related social sciences
A minimum of 2 years of experience including 2+ managing a team of researchers/analysts
Basic familiarity with a range of data processing, statistical, and geospatial software packages
Interest in applying research, evidence and data-driven decision making to large-scale Programs with an appreciation for practical and logistical constraints
Strong interpersonal and communications skills to work effectively with a team that is geographically dispersed
Ability to think strategically and critically, and to bring imagination to solving problems with substantial complexity and ambiguity
Quick to learn, motivated to self-teach and capable of independently translating new knowledge into practice
Ability to meet deadlines, sometimes within short notice.
Willingness to travel as needed to support Evidence Action Programs
How to apply
Interested candidates should apply online by 30th May, 2018
For more information and job application details, see; Monitoring Learning and Information Systems (MLIS) Team
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