Executive Director, Strategic Enablers, Frontier Partnerships and R&D

Executive Director, Strategic Enablers, Frontier Partnerships and R&D

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients.

With our global scale and deep expertise, you'll have the opportunity to do meaningful work, grow your career and make a real impact on people's health around the world. Together, we're improving health and improving lives.

Labcorp is seeking an Executive Director, Strategic Enablers, Frontier Partnerships and R&D to join our team in Durham, NC.

Work Schedule:

Durham, NC / Hybrid | Full-time |

Reports to:

Chief AI Officer | Travel: 40-50%.

• Define and lead Labcorp's strategy for enterprise AI enablers, agentic software development lifecycle (SDLC), knowledge management, semantic architecture, and emerging AI capabilities.
• Partner with engineering, data, enterprise architecture, and business leaders to accelerate AI adoption through reusable platforms, standards, and shared services.
• Establish enterprise strategies for AI governance, evaluation, observability, security, reliability, and responsible AI implementation.
• Drive the development and adoption of reusable AI patterns, agent frameworks, developer tooling, enterprise AI services, and knowledge-based AI capabilities.
• Lead evaluation of emerging AI technologies, platforms, strategic partnerships, and build-versus-buy decisions to support enterprise objectives.
• Define and oversee enterprise AI platform capabilities, including model access, resiliency, operational governance, cost management, and lifecycle management.
• Build strategic relationships across the AI ecosystem, including technology providers, research organizations, startups, academic institutions, and industry partners.
• Lead rapid AI experimentation, innovation pilots, and R&D initiatives that translate emerging capabilities into scalable business solutions.
• Partner with Corporate Development and business leaders to evaluate AI-enabled growth opportunities, strategic partnerships, and technology investments.
• Build and lead a high-performing organization focused on AI enablement, innovation, partnerships, and enterprise capability development.

• Bachelor's Degree
• 15 or more years of experience in software engineering, platform engineering, AI, data, enterprise technology, or technology leadership roles, including responsibility for enterprise-scale platforms, technology strategy, and organizational leadership.
• 5 or more years of experience leading the design, deployment, and scaling of production AI, machine learning, generative AI, agentic AI, retrieval-augmented generation (RAG), or AI-assisted development capabilities.
• 5 or more years of experience architecting and delivering enterprise-grade software platforms, developer platforms, distributed systems, or AI-enabled technology solutions.
• 5 or more years of experience leading enterprise initiatives involving AI enablement, developer productivity, platform strategy, knowledge management, semantic technologies, or emerging technology adoption

• Master's degree in computer science, Artificial Intelligence, Data Science, Engineering or Business Administration
• 5 or more years of experience in healthcare, diagnostics, life sciences, pharmaceutical, payer, provider, or other regulated industries supporting solutions involving PII, PHI, compliance, validation, and audit requirements.
• 5 or more years of experience designing and implementing enterprise AI platforms, agentic AI systems, retrieval-augmented generation (RAG), and AI-enabled developer platforms.
• 5 or more years of experience with enterprise knowledge graph platforms, semantic data models, ontologies, semantic layer architectures, or enterprise knowledge management capabilities.
• 5 or more years of experience with AI orchestration frameworks, agent protocols, vector databases, model gateways, and multi-model AI ecosystems.
• 5 or more years of experience leading AI governance, security, privacy, compliance, or risk management initiatives across enterprise organizations.

• Deep knowledge of modern AI architectures, including foundation models, agentic systems, retrieval, orchestration, evaluation, observability, and production operations.
• Strong understanding of enterprise knowledge management, semantic technologies, knowledge graphs, ontology design, and AI grounding strategies.
• Expertise in LLMOps, AI governance,…