EXECUTIVE DIRECTOR OF AI TRANSFORMATION

CARE USA•Atlanta, GA

About The Position

CARE USA is seeking an Executive Director of AI Transformation to lead the organization’s enterprise-wide artificial intelligence agenda. This role will position AI as a core strategic capability to accelerate impact, strengthen operational resilience, and enhance financial sustainability across CARE’s global portfolio. As a senior enterprise leader, the Executive Director will define CARE’s AI vision and translate it into a scalable, value-driven portfolio of initiatives across country offices, programs, supply chain, finance, and shared services. The role bridges strategy and execution—ensuring AI is not treated as a standalone innovation stream, but embedded into how CARE delivers its mission. This role will be instrumental in shaping CARE’s future operating model—leveraging AI to enable smarter decision-making, improve program effectiveness, optimize cost structures, and unlock new delivery and funding models.

Requirements

Senior enterprise leader
Experience defining AI vision and translating it into a scalable, value-driven portfolio of initiatives
Experience bridging strategy and execution
Experience shaping operating models leveraging AI for decision-making, program effectiveness, cost optimization, and new delivery/funding models
Experience with enterprise AI strategy and roadmap development
Experience establishing prioritized AI portfolios focused on high-impact use cases
Experience creating governance, investment, and prioritization frameworks
Experience translating emerging AI capabilities into scalable solutions
Experience driving integration of AI into core business processes
Experience partnering with Digital, IT, and functional leaders to operationalize AI solutions
Experience enabling "AI as a service" capabilities
Experience supporting adoption of AI solutions in diverse contexts
Experience leading global AI adoption through change management, leadership engagement, and communication
Experience building organizational capability through training and learning pathways
Experience partnering with HR and Knowledge Management to embed AI literacy
Experience establishing and leading taskforces
Experience establishing and enforcing enterprise AI governance
Experience ensuring responsible and inclusive AI deployment
Experience partnering with Legal, Risk, and Information Security to manage risks
Experience maintaining awareness of global AI regulations
Experience defining and tracking enterprise AI value
Experience building performance dashboards
Experience linking AI investments to financial sustainability
Experience reporting to Executive Leadership and Board Committees
Experience positioning organizations as leaders in AI for impact
Experience engaging donors and technology partners
Experience leading engagement with AI advisory groups and strategic partners
Experience translating AI work into compelling narratives for partnerships and funding

Responsibilities

Define and own CARE’s AI strategy and multi-year roadmap, aligned with organizational priorities and Digital Transformation objectives
Establish a prioritized, enterprise-wide AI portfolio focused on high-impact use cases (program delivery, supply chain, finance, risk, and operations)
Create clear governance, investment, and prioritization frameworks to ensure disciplined execution and resource allocation
Translate emerging AI capabilities into scalable, context-relevant solutions for diverse country office environments
Drive integration of AI into core business processes, decision-making frameworks, and service delivery models
Partner with Digital, IT, and functional leaders to operationalize AI solutions within existing systems (ERP, supply chain, program platforms)
Enable “AI as a service” capability across CARE—ensuring reusable tools, platforms, and standards
Support country offices in adopting AI solutions tailored to local contexts, constraints, and opportunities
Lead global AI adoption through structured change management, leadership engagement, and communication strategies
Build organizational capability through training, learning pathways, and communities of practice
Partner with People & Culture and Knowledge Management to embed AI literacy and data-driven decision-making across the workforce
Establish and lead an AI Taskforce to coordinate adoption, share best practices, and scale successful pilots
Establish and enforce enterprise AI governance aligned with CARE’s ethical principles, safeguarding standards, and environmental commitments
Ensure responsible and inclusive AI deployment, particularly in vulnerable and low-resource settings
Partner with Legal, Risk, and Information Security to manage regulatory, data privacy, and cybersecurity risks
Maintain forward-looking awareness of global AI regulations and ensure organizational readiness
Define and track enterprise AI value—efficiency gains, cost optimization, program outcomes, and risk reduction
Build a transparent AI performance dashboard, covering pipeline, delivery status, and realized impact
Ensure strong linkage between AI investments and financial sustainability objectives
Provide regular reporting and strategic insights to Executive Leadership and Board Committees
Position CARE as a leader in AI for humanitarian and development impact
Engage donors, technology partners, and innovation platforms to mobilize funding and co-create solutions
Lead CARE’s engagement with AI advisory groups and strategic partners (e.g., cloud, data, and AI providers
Translate CARE’s AI work into compelling narratives that strengthen partnerships and unlock new funding streams