Global Senior Manager – Data Science & Analytics

Reporting into: Global Director, Performance, Evidence, and Insights

Location: Nairobi – Kenya.

About Us

Our Strategy for delivering high-quality, cost-effective community health through and with digitally empowered, equipped, supplied, supervised, and compensated CHWs requires that we continuously re-invent the way we work. Innovating incessantly and with swift responsiveness to global trends is, therefore, a critical success factor for building a thriving and sustainable LG of today and tomorrow.

Over the last four years, Living Goods has become a more complex organization with multiple implementation modes, exciting opportunities in new countries, and new partnerships in existing countries. Furthermore, while we have delivered some strong work over the last couple of years in technology, we now need to go the extra mile beyond technology and ensure a much greater emphasis on government partnerships in the broader digital health space. We can only do this by building a great place to work where our teams thrive, grow, and deliver extraordinary results.

Purpose of role:

The position is responsible for leading the use of data, data analytics, and data science to ensure Living Goods and its partners deepen impact, continuously learn, improve, build, and communicate compelling evidence of strengthened community health systems, high-impact community health practices, and ultimately improved RMNCH outcomes.

Key Responsibilities:

Strategy:

• Co-develop LG´s data roadmap with the program teams, the MEL team, and the digital health team to improve programs’ efficacy and efficiency.
• Identify and prioritize key opportunities for deep dive analytics.
• Identify and develop data-related strategic partnerships aligned with the strategy of the organization.
• Collaborate with the tech team to build necessary data architecture to enable robust data science and analytics.

Analytics:

• Collaboration with the Program Teams, the Global Senior MEL Manager, and the Research Manager to prioritize analytics and evidence generation for the organization.
• Drive and conduct high-quality deep dive analytics that strengthens program impact and design as well as innovations and generate additional evidence for program improvement and advocacy.
• Provide technical support to data-related innovations in line with Living Goods Innovation Strategy.
• Leverage a range of statistical and analytical tools to transform the use of data and analytics across Living Goods into a strategic capability and enabler of improved service delivery and cost efficiency.
• Provide technical support to the MEL and Research team to enhance the implementation of the Living Goods MEL framework and strengthen data quality.

People Management:

• Recruit and manage the data analytics and data science team and consultants and ensure strong coordination of different workstreams with the different departments.
• Set up effective shared services and ways of working for the data analysts’ team to provide high-quality and effective cross-functional and cross geography support.
• Strengthen analytical capability across the organization.
• Bring out the best in people and build a culture of high performance and engagement in line with the organization’s values.

Business Development & Advocacy:

• Contribute regularly to proposals, reporting, advocacy briefs, and other external communications that rely on robust analysis, visualization, and interpretation of data.
• Conceptualize and initiate new, creative, and effective ways to tell impactful stories with our data to drive our fundraising and advocacy goals.
• Represent the organization with funders, and partners and as part of conferences when necessary and relevant.

Qualifications & Experience Required

Qualifications:

• Bachelor’s degree plus a Professional qualification in Statistics, Data Science, Health Economics, Epidemiology, Monitoring & Evaluation, and Public Health.

Experience:

• Minimum of ten (10) to 12 (twelve) years of relevant experience.

Competencies & Attributes:

• Data analysis and management using statistical packages including SPSS, Stata, R-Studio, Python, and My SQL.
• Good Interpersonal skills, Communication, Collaboration, and ability to speak simply about complex data issues.
• Beyond technical skills, proven and strong People management and leadership skills.
• Bilingual with French as a desirable language.