VP, Data and AI Readiness Platforms

About the role

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 a Vice President, Data & AI Readiness Platforms to join our team in Durham, NC.

Responsibilities

• Establish and execute Labcorp’s enterprise Data and AI strategy, defining the vision, roadmap, governance, and operating model to transform clinical, scientific, operational, and financial data into strategic assets that enable analytics, AI, digital innovation, and enterprise growth.
• Lead the development of a unified, AI-ready data ecosystem, advancing enterprise data platforms, interoperability, analytics, cloud modernization, and reusable capabilities that provide trusted, scalable, and governed access to data across Labcorp and the broader healthcare ecosystem.
• Drive enterprise analytics, decision intelligence, and data product transformation, enabling advanced insights, population health, research, real-world evidence, and value-based care capabilities that improve business performance, healthcare outcomes, and customer value.
• Establish enterprise data governance, security, resilience, and responsible AI standards, ensuring data quality, privacy, regulatory compliance, explainability, risk management, and trust across data, analytics, and AI platforms, including alignment with HIPAA, GDPR, and other applicable requirements.
• Embed responsible AI and zero-trust governance practices, including auditable data lineage, policy enforcement, privacy-by-design, clinical risk controls, explainability, and ongoing model and data monitoring.
• Lead platform engineering excellence and technology value realization, overseeing cloud, data, network, and platform capabilities while improving reliability, automation, engineering