Executive Director - Enterprise & Flagship Platform Services

Posted 10 Hours Ago
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Durham, NC, USA
In-Office
Expert/Leader
Healthtech • Biotech
The Role
Leads strategy, architecture, operations, reliability, onboarding, governance, and modernization for enterprise platforms serving provider and patient services. Establishes AI quality and safety standards, evaluates emerging AI/ML capabilities, improves engineering delivery processes, manages technology risk and compliance, and partners with executive stakeholders to prioritize investments. Builds and develops multidisciplinary technology teams while driving platform scalability, security, reliability, cost optimization, and business value.
Summary Generated by Built In

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, Enterprise & Flagship Platform Services, to join our team in Durham, NC. Work Schedule: Durham, NC / Hybrid | Full-time | Reports to: Senior Vice President of Platforms, AI & High Velocity Engineering | Travel: 40-50%  Job Responsibilities:
  • Define and execute the strategy and roadmap for flagship enterprise platforms, including Provider Services, Patient Services, Enterprise and Custom Onboarding, ensuring scalable, reliable, secure, and high-quality solutions.
  • Lead platform operations and site reliability engineering practices, including observability, incident management, capacity planning, service-level performance, and continuous operational improvement.
  • Establish and govern AI quality and safety standards for models, agents, prompt and system designs, and AI-enabled workflows, supporting responsible deployment and ongoing monitoring.
  • Define enterprise architecture and platform standards that promote modularity, reuse, interoperability, security, reliability, and cost-effective scalability across product and technology environments.
  • Lead enterprise and custom onboarding capabilities, improving time-to-value while ensuring alignment with integration, privacy, security, compliance, and data governance requirements.
  • Evaluate emerging AI/ML technologies, agentic capabilities, and industry trends and translate relevant opportunities into platform strategies, roadmaps, and modernization investments.
  • Streamline engineering and delivery processes to improve developer productivity, delivery effectiveness, estimation, quality, and overall operational efficiency.
  • Partner with Product, Sales, Clinical, Customer Success, and other stakeholders to understand customer and business needs, translate them into platform requirements, and establish investment priorities.
  • Build, lead, and develop high-performing technology teams while fostering accountability, engineering excellence, continuous improvement, and a strong platform-oriented culture.
  • Partner with Security, Legal, Finance, Privacy, and other enterprise functions to manage technology risk, regulatory requirements, cloud costs, and platform governance.
  Minimum Qualifications
  • Bachelor's degree
  • 10 or more years of experience in people leadership, including responsibility for multidisciplinary teams, organizational strategy, execution, operational performance, talent development, and budget management.
  • 10 or more years of experience defining and executing enterprise data, analytics, AI, cloud, or technology transformation strategies within large, complex, or highly regulated organizations.
  • 10 or more years of experience leading enterprise-scale modernization initiatives involving cloud platforms, data ecosystems, analytics, interoperability, AI/ML capabilities, and mission-critical technology services.
  • 10 or more years of experience partnering with executive and C-suite stakeholders to align technology investments with business priorities, lead organizational change, manage risk, and deliver measurable business outcomes.
  •  10 or more years of experience with data governance, privacy, security, regulatory compliance, and responsible AI principles within healthcare or other highly regulated environments.
 Preferred Qualifications
  • MBA, Computer Science, Data Science, Engineering, Information Technology, Business Administration.
  • 10 or more years of experience in healthcare, diagnostics, life sciences, pharmaceutical, or other highly regulated industries.
  Additional Job Standards 
  • Communication & Stakeholder Influence: Exceptional ability to communicate complex technical concepts clearly, influence stakeholders at multiple levels, and drive alignment across business and technology teams.
  • Leadership & Ownership: Demonstrated ability to provide end-to-end leadership and accountability for large-scale enterprise platforms, operational performance, and long-term technology outcomes.
  • Quality & Operational Excellence: Strong ability to establish measurable quality indicators, promote automated quality practices, and drive continuous improvement across enterprise platforms.
  • Cloud & Platform Engineering: Advanced knowledge of cloud technologies and enterprise platform engineering, including scalability, security, reliability, performance, and cost optimization.
  • DevOps & Site Reliability Engineering: Deep knowledge of observability, incident management, CI/CD, capacity planning, service reliability, and operational practices supporting enterprise-scale platforms.
  • AI/ML Quality & Safety: Strong knowledge of AI/ML principles, model evaluation, production deployment, lifecycle monitoring, responsible AI practices, and risk controls for production AI solutions.
  • Enterprise Architecture: Demonstrated ability to evaluate architectural options and trade-offs and guide scalable, modular, secure, and reusable platform architectures supporting complex enterprise environments.
  • Agentic AI & System Design: Advanced knowledge of agentic workflows, orchestration patterns, prompt and system design, and controls supporting reliable and responsible AI behavior.
  • Customer & Business Acumen: Strong understanding of customer and business needs, with the ability to translate workflows and requirements into platform capabilities that improve adoption and business value.
  • Process Improvement: Demonstrated ability to evaluate and improve cross-functional processes, reduce complexity and delivery friction, and increase organizational effectiveness.
  • Platform Mindset: Demonstrated ability to develop reusable platforms, services, APIs, and developer capabilities that support enterprise-wide adoption and scalability.
  • Technology Strategy & Foresight: Strong ability to evaluate emerging technologies, industry trends, risks, and opportunities and translate them into forward-looking platform strategies and investment priorities.
  Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: 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.


Skills Required

  • Bachelor's degree
  • 10 or more years of experience in people leadership, including multidisciplinary team leadership, organizational strategy, execution, operational performance, talent development, and budget management
  • 10 or more years of experience defining and executing enterprise data, analytics, AI, cloud, or technology transformation strategies within large, complex, or highly regulated organizations
  • 10 or more years of experience leading enterprise-scale modernization initiatives involving cloud platforms, data ecosystems, analytics, interoperability, AI/ML capabilities, and mission-critical technology services
  • 10 or more years of experience partnering with executive and C-suite stakeholders to align technology investments, lead organizational change, manage risk, and deliver measurable business outcomes
  • 10 or more years of experience with data governance, privacy, security, regulatory compliance, and responsible AI principles within healthcare or other highly regulated environments
  • MBA or degree in Computer Science, Data Science, Engineering, Information Technology, or Business Administration
  • 10 or more years of experience in healthcare, diagnostics, life sciences, pharmaceutical, or other highly regulated industries
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The Company
HQ: Burlington, NC
19,796 Employees
Year Founded: 1978

What We Do

We believe in harnessing science for human good. And so we work day and night, around the world, to deliver answers for all your health questions—whether you’re a provider, drug developer, hospital, medical researcher or patient. That means everything from advancing diagnostic testing to helping launch new drugs, to offering new perspectives through data - all drawing from a deep well of scientific expertise. So when you need trusted information to make clear, confident health decisions, consider us your source.

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