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Specialist - Monitoring Evaluation and Learning

  • Company

    Wadhwani AI

  • Location

    New Delhi

  • Employment Type

    Full-Time

  • Functional Category

    Monitoring, Evaluation & Learning

  • Experience

    7 - 8 years

About Wadhwani AI

The Wadhwani Institute for Artificial Intelligence (Wadhwani AI) is an independent nonprofit institute founded by the Indian-American tech entrepreneurs Romesh and Sunil Wadhwani. We aim to harness the power of AI to find the break points that cause the world’s deepest problems — and then find innovative solutions to fix them. We specialize in AI research to address problems in public health agriculture education and infrastructure using tools such as Machine Learning Data Science Cognitive Reasoning and IoT. We are a global AI hub with ongoing collaborations with leading academic organisations global nonprofits think tanks and other private foundations who are interested in leveraging AI as a force for social good. We partner with government agencies and non-governmental organizations to help identify needs and to implement and scale the solutions

Overview of the Role

Support monitoring, evaluation, and research implementation by designing study tools and protocols, overseeing field activities, and driving end-to-end data management including cleaning, analysis, visualization, and reporting. Manage web-based data collection platforms, maintain decision-support dashboards, contribute to MEL planning and logframes, ensure ethical approvals and data privacy compliance, and develop high-quality reports and presentations for internal and external stakeholders.

Job Description

● Prepare survey instruments, protocols, analysis plans, and training material(s) for implementation of various research studies
● Lead, conduct and be responsible for field visits to oversee implementation of project activities (including scoping) and support for course correction
● Lead data processing, cleaning, analysis, visualization, and presentation
● Experience working with, managing, and coding on web-based data collection applications such as SurveyCTO Or KoboCollect
● Dashboard creation for said indicators and their daily maintenance to ensure the display of correct statistics to assist senior team members to take key decisions on the progress of project implementation activities
● Support lead MEL in developing the overall MEL plan, log frameworks, work plan, etc. for various projects with guidance from the program management team.
● Support lead MEL in developing research protocols and ensure approval from the required Research Ethics Committee and local IRB (as required) ensuring the protection of human subjects
● Development of reports, presentations and templates for effective internal use and dissemination of reports at state & national levels
● Function with utmost sensitivity towards data confidentiality and privacy
● Perform duties as assigned by the supervisor from time to time.

Required & Preferred Qualifications

Skill

● Experience in managing web based applications for data collection, seamless display of indicators on dashboard for real time monitoring
● Experience in report writing and development of proposals for business development with a variety of domestic and international donors would be an asset.
● High proficiency and experience with statistical software for analysis of large datasets (such as SPSS, STATA, R, Python, or SAS). Knowledge of handling web-based dashboarding applications like Tableau and GIS applications is desirable.
● Proficient computer skills in Microsoft Office Suite applications, including Word, Excel, PowerPoint, and Outlook.

Education

Master’s Degree in development studies, public health, demography, statistics, or related subjects. Masters in Epidemiology, Statistics, or Public Health is preferred

Experience

● A minimum of 7 years of post-qualification M&E/Quantitative research experience and demonstrated history of practical skills in monitoring and evaluation of donor-funded programs in the health or social sector ● At least two years of post qualification experience in supporting operations research protocols and conducting surveys and data collection in the health sector. ● Demonstrated experience in data management including data cleaning, standardization, maintenance, collation, analysis, and reporting