LabCorp

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

LabCorp • $150K — $200K *
Durham, NC 27713In-Person
Healthcare
11 - 15 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's Degree
  • 15+ years of experience in software engineering, AI, and technology leadership roles
  • 5+ years leading production AI and machine learning capabilities
  • 5+ years architecting enterprise-grade software platforms and AI solutions
  • 5+ years leading AI enablement and emerging technology adoption initiatives

Responsibilities

  • Define and lead enterprise AI enablers and software development lifecycle
  • Partner with cross-functional teams to accelerate AI adoption
  • Establish strategies for AI governance and implementation
  • Drive development of AI patterns and knowledge-based capabilities
  • Evaluate emerging AI technologies and strategic partnerships
  • Lead rapid AI experimentation and scalable business solutions

Benefits

  • Medical, Dental, Vision, and Life insurance
  • Short-Term and Long-Term Disability insurance
  • 401(k) plan
  • Paid Time Off (PTO) or Flexible Time Off (FTO)
  • Tuition Reimbursement
  • Employee Stock Purchase Plan
Full Job Description
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.

About LabCorp

LabCorp is a leading global life sciences company that is deeply integrated in guiding patient care through its comprehensive clinical laboratory and end-to-end drug development services. The company provides diagnostic, drug development and technology-enabled solutions for more than 160 million patient encounters annually.
Learn more about LabCorp
Size
70,000 employees
Market Cap
$20.6 billion
Industry
Healthcare
Net Income
$1.5 billion
Founded
1976
5 Year Trend
+11%
Revenue
$13.9 billion
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at LabCorp

More Healthcare Jobs

Find similar Executive Director, Strategic Enablers, Frontier Partnerships and R&D jobs:

NationwideDurham, NC