EXECUTIVE DIRECTOR OF AI TRANSFORMATION

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.

RESPONSIBILITIES:

Enterprise AI Strategy & Portfolio Leadership

• 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

Embedding AI into CARE’s Operating Model

• 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

Adoption, Change & Capability Development/Governance, Risk & Responsible AI

• 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

Value Realization & Performance Management/External Positioning & Strategic Partnerships

• 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