Lead, AI Foundations for Global Health Systems

Clinton Health Access Initiative

United States

Presencial

USD 110.000 - 160.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

Clinton Health Access Initiative (CHAI) seeks a Manager/Senior Manager to lead its AI Foundations work, engaging ministries of health to strengthen governance, workforce, data, and infrastructure. The role involves translating complex AI concepts for non-technical audiences and coordinating across CHAI teams and partners worldwide.

Ideal candidates have 4–8 years in public health, data science, or digital health, with strong research, writing, and stakeholder-management skills to help scale AI

Formación

  • Strong written and oral communication in English.
  • Excellent stakeholder management and relationship-building with government, partners, and funders.
  • Ability to rapidly synthesize information and translate into actionable recommendations.

Responsabilidades

  • Provide strategic and technical assistance to ministries of health on AI governance, workforce, and data systems.
  • Synthesize research on AI for health to inform CHAI strategy and country engagements.
  • Support the AI Commons for Global Health and coordinate with stakeholders.
  • Manage relationships with ministries of health, technology partners, and funders as a trusted advisor.
  • Develop tools and resources to assess AI readiness and plan implementation.

Conocimientos

Stakeholder management
English communication
Research & synthesis
Problem solving
Strategic thinking

Educación

Bachelor's degree
Master's degree (preferred)

Herramientas

None

Descripción del empleo

Clinton Health Access Initiative (CHAI) seeks a Manager/Senior Manager to lead its AI Foundations work, engaging ministries of health to strengthen governance, workforce, data, and infrastructure. The role involves translating complex AI concepts for non-technical audiences and coordinating across CHAI teams and partners worldwide.

Ideal candidates have 4–8 years in public health, data science, or digital health, with strong research, writing, and stakeholder-management skills to help scale AI

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