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

Durham, NCFull-timePosted Jul 24, 2026

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: Work Schedule: Durham, NC / Hybrid | Full-time | Reports to: Chief AI Officer | Travel: 40-50%

Job Responsibilities

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.

Minimum Qualifications

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

Preferred Qualifications

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.

Additional Job Standards

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, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here. 

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

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: Work Schedule: Durham, NC / Hybrid | Full-time | Reports to: Chief AI Officer | Travel: 40-50%

Job Responsibilities

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.

Minimum Qualifications

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

Preferred Qualifications

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.

Additional Job Standards

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.