Executive Director - Enterprise & Flagship Platform Services

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