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 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 skill sets 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 culture.

Position Overview

CHAI is building a team to drive both the modernization of its finance function and the organization’s internal AI transformation. The Director, Finance and AI Transformation will lead that team. These two scopes sit with the same leader because internal AI tools are only as useful as the data, systems, and workflows beneath them; the underlying systems and the AI capability that runs on top of them are best designed together. This is a role for someone who is both a genuine builder and a credible enterprise leader – a person who can design and ship AI-powered tools themselves, lead major finance technology implementations, and drive transformation across a complex, distributed, mission-driven organization.

Reporting to the Chief Financial Officer and managing two direct reports - one focused exclusively on AI transformation, and one focused exclusively on the ERP implementation and the related finance tooling, the Director provides both the strategic direction and the day-to-day management of CHAI’s finance modernization and internal AI programs. This includes setting strategy for and overseeing the implementation of a new ERP system, the build-out of a data warehouse and self-service reporting function, and the rollout of a new standardized AP processing system. These are the systems that produce and structure the operational data CHAI runs on. Together with the development and deployment of the bespoke AI tools that build on top of them, created for general management and operational use across the organization. The role calls for strong vendor management, program leadership, and project management alongside hands-on building. The internal AI team is expected to work closely with the Innovation team, which has a complementary scope focused on AI use in CHAI’s technical and programmatic work in global health. Close partnership with CHAI’s Finance and IT teams is critical, as is coordination with CHAI’s AI Advisory Committee to ensure strong governance.

The right candidate brings demonstrable building experience – they can code, they can ship, and they know modern AI development tools firsthand – alongside the organizational range to lead vendor-driven enterprise programs and drive change across senior stakeholders, functional leaders, and country teams. This is not a role for a pure strategist, and it is not a role for a pure engineer. It is for a leader who is genuinely both, sees clearly why the underlying systems and the AI layer above them belong with the same team, and who wants to put that combination to work in service of a global health mission.

This role can be offered at either the Director or Senior Director level, commensurate with the qualifications and experience of the candidate. The base location is flexible; candidates can be based in any of the geographies that CHAI operates in, subject to work authorization and necessary approvals.

What Success Looks Like

The following give a concrete sense of the kinds of outcomes we are looking for; they should be viewed as illustrative, and not comprehensive:

• CHAI is a more effective organization because of internal AI adoption. Staff across functions and country teams are doing their jobs better and faster, with less friction, and with better access to the knowledge and tools they need. The efficiency gains are real and measurable, and they are freeing up time for work that actually moves the mission forward.
• CHAI’s finance function is materially modernized. A new ERP is live and working as intended; a data warehouse with self-service reporting gives finance staff and business partners the answers they need without standing in line for a custom report; and a standardized AP processing system is in use across the organization. Finance staff can spend more of their time on analysis and judgment, and less on data wrangling and manual processing.
• Bespoke AI tools are live and driving value. The Director has personally contributed to the design and development of the tools that matter most – not just overseen them from a distance. The team is shipping, not just advising, and the quality and ambition of what gets built reflects a leader who is genuinely in the work.
• The internal AI function has become a driving force in how CHAI evolves. Senior leaders see internal AI adoption as essential, actively champion its growth, and bring the team’s work into the room when the most important operational decisions are being made. CHAI is not watching the AI revolution from a distance – it is inside it, continuously adopting what is most powerful and most relevant.

• Define and drive CHAI’s internal AI transformation strategy, identifying where AI can most effectively transform enterprise operations, internal workflows, and staff productivity across CHAI’s global teams.
• Design, build, and ship bespoke AI-powered tools alongside the Manager, AI Transformation, working directly in code and AI-native development environments (e.g., Claude Code and Cowork) on the most important builds; set the technical bar for what the team produces.
• Define and drive CHAI’s finance modernization and finance transformation strategy from a technical lens, in close partnership with the Finance and IT leadership teams.
• Lead the implementation of a new ERP system, owning the program end-to-end – vendor management, scope and sequencing, requirements definition with Finance and IT, change management, and go-live readiness across CHAI’s global footprint.
• Build out a data warehouse and self-service reporting function (using Apache Superset), so that finance staff and business partners across the organization can answer their own questions on shared, trusted data without bottlenecking on a custom-report queue.
• Support the Accounts Payable team in rolling out a new standardized AP processing system, including system selection, configuration, integration with the ERP, and adoption across countries and headquarters.
• Co-own CHAI's AI tool portfolio alongside the Innovation team, overseeing the evaluation, selection, procurement, and ongoing governance of AI platforms and tools used across the organization; establish practical AI governance frameworks that protect CHAI without slowing it down.
• Support organization-wide AI adoption efforts led by the AI Adoption team in Operations, providing technical expertise and tool training support; track the impact of shipped tools and report on return on investment.
• Manage and mentor two direct reports – the Manager, AI Transformation, and a counterpart manager responsible for the ERP and the related finance tooling (data warehouse and self-service reporting, accounts payable processing) – providing clear technical and professional direction and investing meaningfully in their growth.
• Engage senior stakeholders across CHAI – functional leaders, country directors, the C-suite – to build support for the finance modernization and internal AI agenda and translate it into concrete organizational action.
• Stay current with the rapidly evolving AI development landscape by evaluating new tools, frameworks, and approaches and bringing the best of them into the team’s practice; undertake other responsibilities as needed.

• Bachelor’s degree or equivalent and at least 10 years of relevant professional experience, including direct experience leading digital transformation, technology adoption, or enterprise systems initiatives at scale in complex organizations.
• Demonstrated track record leading complex enterprise systems programs – ERP implementations, finance systems modernization, or comparable cross-functional, vendor-driven technology programs – including vendor selection and management, scope and timeline ownership, and change management across distributed teams.
• Demonstrated hands-on building experience – you have personally designed, built, and shipped AI or software tools that others use. This is not a role where technical credibility can come from oversight alone.
• Practical fluency with software engineering tools and practices – version control (e.g., GitHub), automated testing, and code review. Hands-on experience with LLM APIs, AI development frameworks, and AI-native development environments (e.g., Claude Code and Cowork). Programming language proficiency (e.g., Python) is helpful but not required.
• Deep, practical familiarity with modern AI tools – particularly large language models, RAG, and memory management – and a sophisticated understanding of their capabilities, limitations, and appropriate enterprise use cases.
• Experience managing and developing technical staff, with the ability to set a high technical bar and support professional growth.
• Strong judgment under ambiguity, and a track record of making things happen in environments with limited structure or precedent.
• Genuine commitment to CHAI’s mission and the operating realities of a global health organization working in resource-constrained, cross-cultural contexts.

Advantages

• Background in AI engineering, data science, or a related technical discipline.
• Familiarity with AI governance frameworks, data privacy, and responsible AI principles in complex operating environments.
• Experience in global health, international development, or a comparable mission-driven sector.
• Exposure to health data, health systems, or public health contexts.

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