Roles and Responsibilities:

• Lead mobile data program design initiatives: Design and manage end-to end data analysis approaches using mobile network operator (MNO) data for recipient identification and enrollment, in collaboration with internal teams and external partners
• Partner with telcos: Serve as organization technical lead in negotiations and collaboration with telecommunications companies to enable access to and use of mobile data for program design.
• Technical Backstop: Serve as the technical backstop for country teams, vendors and partners to ensure high quality, principled analytic and processing approaches to mobile network operator (MNO) data.
• Develop and refine data pipelines: Oversee the creation and validation of mobile data processing pipelines to ensure data integrity, privacy compliance, and analytical rigor.
• Support program operations: Work with country teams and internal and external data science capacity to pilot and implement mobile-data-informed enrollment strategies that improve targeting speed, accuracy, and inclusivity.
• Ensure ethical use of data: Uphold principles of responsible data use and data minimization in all work, ensuring privacy, consent, and security are upheld.
• Contribute to strategy and innovation: Identify new opportunities to integrate mobility data into company’s humanitarian and cash transfer programming across countries.
• Build Momentum: Ensure company’s experience with mobile data across contexts is advancing a broader goal to create a global capacity to work with mobile network operator (MNO) data wherever relevant.

Qualifications:

• Atleast 5+ years of relevant work experience in technical or data-focused role, ideally in mobile technology, humanitarian tech, data science, or international development.
• Extensive experience managing complex partnership relationships and negotiating collaboration frameworks to achieve project outcomes.
• Experience working with or for mobile network operators and a demonstrated understanding of the MNO business model, incentive structures, and sensitivities.
• Experience working with or analyzing mobile phone data (e.g. call records, tower data, mobile money).
• Ability to coordinate the evaluation of machine learning algorithms for appropriate methods, model validation, and fairness metrics and guide model design in collaboration with technical teams.
• Deep understanding of data privacy and protection principles, particularly in relation to the use of telecommunications and geolocation data in humanitarian settings. Experience applying frameworks such as GDPR,
• Responsible Data for Children, or Humanitarian Data Ethics standards is strongly preferred.
• Excellent project management skills,
• Language Requirement: English fluency