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

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

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, security, privacy, identity management, regulatory compliance, and trusted AI operations.
• Demonstrated ability to evaluate emerging technologies, architectural patterns, and strategic investments, including build-versus-buy-versus-partner decisions.
• Ability to establish and drive adoption of enterprise standards, reusable frameworks, self-service platforms, and governance practices.
• Experience leading innovation programs applied to AI pilots, and enterprise transformation initiatives that successfully scale into production.
• Proven ability to build strategic partnerships across technology providers, AI vendors, startups, research organizations, and industry ecosystems.
• Strong executive leadership, communication, and stakeholder management skills, with a demonstrated ability to build high-performing teams and influence technical and business leaders.

Benefits:
Medical, Dental, Vision,…