Global Senior Manager, Data Science & Analytics at Living Goods

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 à 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.