VP, AI Center of Excellence; CoE), Enterprise Systems

Labcorp is seeking a VP, AI Center of Excellence (CoE), Enterprise Systems to join our team in Durham, NC. Applicants living within 35 miles of Durham will follow a hybrid schedule, with a minimum of three in‑office days per week. This full‑time, exempt position is assigned to a First Shift schedule, Monday through Friday, 8:00 a.m. to 5:00 p.m. EST, with occasional flexibility as needed.

• Provide strategic and operational leadership for the AI CoE within Enterprise Systems.
• Lead execution of transformational and operational AI initiatives aligned to enterprise and business objectives.
• Partner with senior business and IT stakeholders to translate business needs into scalable AI solutions.
• Lead and manage a team of AI Architects and AI Engineers, driving engineering excellence and delivery consistency.
• Own end‑to‑end AI delivery lifecycle: ideation, intake management, use case identification, evaluation, prioritization, design, development, deployment, and lifecycle management.
• Establish structured intake, evaluation, and prioritization frameworks aligned to enterprise priorities and business value.
• Partner with Enterprise AI Architecture and IT teams to ensure alignment with enterprise tools, standards, and best practices.
• Ensure AI solutions comply with enterprise architecture, security, governance, and technology standards.
• Oversee architecture, design, and implementation of AI solutions to ensure scalability, performance, and reliability.
• Coordinate with Project Delivery Managers and Delivery CoE teams to integrate AI and non‑AI solution components.
• Collaborate with development and QA teams on solution components such as UI/UX and data engineering.
• Build, mentor, and develop high‑performing AI teams, defining performance goals and development plans.
• Lead talent strategy for AI teams, including recruitment, retention, and career development.
• Provide executive oversight of vendor relationships across consulting, services, and delivery partners.
• Manage multiple delivery engagement models, including services‑based, outcome‑based, and staff augmentation.
• Ensure vendor‑delivered solutions align with enterprise standards, timelines, and expected outcomes.
• Drive delivery excellence through scalable processes, reuse of AI capabilities, and continuous improvement initiatives.
• Provide executive reporting, risk management, and issue resolution for AI initiatives.
• Act as an enterprise AI advocate, driving adoption, change management, and integration of AI into business processes.

• High school diploma with 19+ years of experience in enterprise technology delivery, data, analytics, or AI initiatives; OR Associate degree with 17+ years of experience; OR Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field with 15+ years of experience; OR Master’s degree in a similar field with 13+ years of experience.
• 15+ years of experience leading enterprise technology delivery initiatives, including data, analytics, or AI programs.
• 5+ years of experience building and leading teams of AI architects, engineers, or data professionals.
• 10+ years of experience owning end‑to‑end solution delivery life cycles, including ideation, design, development, deployment, and lifecycle management.
• 10+ years of experience managing vendor relationships and delivering solutions using services‑based, outcome‑based, or staff augmentation engagement models.

• Master’s degree in Business Administration, Data Science, Artificial Intelligence, or a related technical discipline.
• 10+ years of experience in healthcare, diagnostics, life sciences, or biotechnology environments.
• 5+ years of experience working with AI or machine learning technologies, including generative AI, natural language processing, or predictive analytics.
• 5+ years of experience working with enterprise platforms such as AWS, Databricks, Snowflake, or similar cloud and data ecosystems.
• 5+ years of experience applying responsible AI governance frameworks, ethical AI principles, or regulatory compliance standards.
• 5+ years of experience collaborating with AI vendors, startups, research…