In A Nutshell
Lead a high-impact consortium, overseeing strategy, delivery, and partnerships to ensure the project achieves its milestones and drives measurable results.
Responsibilities
Consortium Leadership & Management
- Provide overall leadership in consortium management, ensuring effective collaboration across multiple partners.
- Identify trade-offs and prioritize action steps, balancing product development objectives and the timeliness of product production.
- Convene and manage consortium governance bodies (Governing Board, Scientific Advisory
Committee, Technical Working Groups), ensuring decision rights and accountability are clear. - Oversee the development of the CODA research agenda, aligned with project goals, user needs, and donor priorities.
- Coordinate with consortium leads, COEs, and experimental sites to ensure quality and
timeliness in the implementation of project activities. - Drive progress toward the successful pilot testing of CODA in real-world settings in a follow-on activity.
- Serve as inaugural Chair and permanent Secretariat of the CODA Consortium Governing Board, convening regular meetings as agreed.
- Ensure advice and input from the Scientific Advisory Committee and an independent group of global donors and other stakeholders is communicated to the Governing Board.
Product Development
- Lead the development and implementation of a unified project roadmap, technical work plan, and critical path milestones.
- Serve as day-to-day coordinator across AI, Technology Development, MITS Development,
Centers of Excellence, and global stakeholders. - Maintain strong, collaborative working relationships with AI and Technology Leads.
- Align the work of AI algorithm developers, software/platform vendors, MITS developers, and other subject-matter experts (e.g., SAC Members).
- Ensure product development follows a robust lifecycle, meets defined performance standards, and is ready for pilot testing in real-world settings.
- Lead the development of a consortium proposal for funding of pilot testing as a follow-on
grant.
Skillset
- Minimum 15 years’ experience in software development, with significant leadership
(management, coordination, oversight, governance) in multi-country/multi-partner projects. - Proven track record of leading multi-partner or consortium-based initiatives across diverse
geographies. - Experience managing complex technology development programs, ideally in AI/ML, digital
health, or software engineering. - Experience working in low- and middle-income countries and on projects with strong data
components. - Experience in team management and staff supervision; strong interpersonal skills.
- Prior experience working in or with government ministries that focus on public health.
- Experience in implementation research.
- Experience coordinating with donors and high-level stakeholders, with the ability to
translate technical progress into strategic reporting and decision-making. - Prior experience working in or with government ministries that focus on public health.
- Prior experience supporting pilot testing, evaluation, or scaling of digital or AI-based
solutions in real-world or low-resource settings. - Experience with AI, digital health, or technology-driven public health interventions will be
an advantage.