Country

United States

Type

Full Time

Program (Division)

Strategy & Special Projects

Telecommute

Yes

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to our mission of saving lives and reducing the burden of disease in low- and middle-income countries. We work at the invitation of governments to support them and the private sector to create and sustain high-quality health systems.

CHAI was founded in 2002 in response to the HIV/AIDS epidemic, with the goal of dramatically reducing the price of life-saving drugs and increasing access to these medicines in the countries with the highest burden of the disease. Over the following two decades, CHAI has expanded its focus. Today, along with HIV, we work in conjunction with our partners to prevent and treat infectious diseases such as COVID-19, malaria, tuberculosis, and hepatitis. Our work has also expanded into cancer, diabetes, hypertension, and other non-communicable diseases, and we work to accelerate the rollout of lifesaving vaccines, reduce maternal and child mortality, combat chronic malnutrition, and increase access to assistive technology. We are investing in horizontal approaches to strengthen health systems through programs in human resources for health, digital health, and health financing. With each new and innovative program, our strategy is grounded in maximizing sustainable impact at scale, ensuring that governments lead the solutions, that programs are designed to scale nationally, and learnings are shared globally.

At CHAI, our people are our greatest asset, and none of this work would be possible without their talent, time, dedication, and passion for our mission and values. We are a highly diverse team of enthusiastic individuals across 40 countries with a broad range of skillsets and life experiences. CHAI is deeply grounded in the countries we work in, with the majority of our staff based in program countries. Learn more about our exciting work: http://www.clintonhealthaccess.org.

CHAI is an Equal Opportunity Employer, and is committed to providing an environment of fairness and mutual respect where all applicants have access to equal employment opportunities. CHAI values diversity and inclusion and recognizes that our mission is best advanced by the leadership and contributions of people with diverse experience, backgrounds, and cultures.

Program and Position Overview

CHAI is seeking an AI Manager to shape and execute an organization-wide internal AI strategy. This role will help select, implement, and drive change management of AI technologies and tools that enhance our mission to save lives and improve health outcomes around the world.

The AI Manager will drive AI adoption across teams, build staff capacity, and ensure CHAI uses AI responsibly and effectively to increase operational efficiency and programmatic impact. The successful candidate will combine AI fluency with strong change leadership skills, guiding CHAI’s evolution into an AI-enabled organization.

For candidates looking to apply both technical expertise and a project management skillset, this role offers professional growth, global influence, and a direct line to meaningful change.

This position is flexible to being based in one of CHAI’s program countries pending country leadership approval and subject to the ability to obtain work authorization. See where we work here.

Internal AI Strategy Development

• Refine and execute CHAI’s internal AI strategy in alignment with organizational priorities.
• Evaluate, select, and manage a portfolio of AI tools and platforms that meet internal team needs.
• Monitor emerging AI technologies and assess their potential for operational and programmatic applications.
• Work with the IT Team to integrate, maintain, and scale approved AI technologies. 
• Develop frameworks, playbooks, and best practices to institutionalize AI strategy and support continuous improvement.

Cross-Organizational AI Adoption

• Design and deliver training programs to build AI literacy across program and country teams.
• Drive change management strategies to support responsible AI adoption across teams with varying levels of knowledge in AI.
• Establish and track KPIs to measure AI adoption, engagement, and demonstrable improvements in productivity and impact.

Strategic Use Case Development

• Partner with CHAI’s Innovation Team and programmatic or functional teams to identify high-value AI use cases, as well as proactively identify opportunities to embed AI into workflows.
• Provide hands-on technical and advisory support to teams developing AI-enabled solutions for high-priority use cases.

Team Leadership & Collaboration

• Partner with IT Team and programmatic or functional teams to integrate AI into existing systems and workflows.
• Manage relationships with AI vendors, consultants, and external technology partners.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Public Health, Economics, or Public Policy (Master’s in Public Health or Public Policy is a plus).
• 5–7 years of experience in technology implementation, digital transformation, or technical program management, including leading cross-functional technology adoption initiatives.
• 2+ years of hands-on experience with GenAI tools (particularly LLMs such as ChatGPT or Claude) and platforms, with strong understanding of their capabilities, limitations, and integration requirements.
• Experience with enterprise-wide AI evaluation, procurement, deployment, and governance in complex organizations.
• Familiarity with data governance, security, and compliance frameworks.
• Excellent communication and facilitation skills, with proven ability to translate technical concepts into accessible language and influence stakeholders across diverse teams
• Passion for technology and strong belief that GenAI can be used to enhance productivity and impact of work.
• Willingness to travel internationally, up to 10%.

Preferred Qualifications:

• Experience in global or public health, international development, or other mission-driven organizations is preferred.
• Knowledge of regulatory environments, health data privacy, and AI policy development in LMICs.
• Familiarity with responsible AI frameworks and ethical considerations in healthcare and development contexts.

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