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

Overview

Labcorp is seeking a VP, AI Center of Excellence (CoE), Enterprise Systems to join our team in Durham, NC.

Location
:
Durham, NC.

Applicants who live within 35 miles of Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week in Durham, supporting both collaboration and flexibility.

Work Schedule: This is a full-time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. EST. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

• Provide strategic and operational leadership for the AI Center of Excellence (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 the end-to-end AI delivery lifecycle, including 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 ensure integration of 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, including 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 or more years of experience in enterprise technology delivery, data, analytics, or AI initiatives; or Associate degree with 17 or more years of experience; or Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a technical field with 15 or more years of experience; or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a technical field with 13 or more years of experience
• 15 or more years of experience leading enterprise technology delivery initiatives, including data, analytics, or AI programs
• 5 or more years of experience building and leading teams of AI architects, engineers, or data professionals
• 10 or more years of experience owning end-to-end solution delivery life cycles, including ideation, design, development, deployment, and lifecycle management
• 10 or more 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 technical discipline
• 10 or more years of experience in healthcare, diagnostics, life sciences, or biotechnology environments
• 5 or more years of experience working with AI or machine learning technologies, including generative AI, natural language processing, or predictive analytics
• 5 or more years of experience working with enterprise platforms such as AWS, Databricks, Snowflake, or similar cloud and data ecosystems
• 5 or more years of experience applying responsible AI governance frameworks, ethical AI principles, or regulatory compliance standards
• 5 or more years of experience collaborating with AI vendors, startups, research institutions, or innovation partners

• Ability to define and execute enterprise-level strategies aligned with corporate objectives.
• Understanding of financial and operational drivers to support AI investment prioritization and decision-making.
• Knowledge of healthcare or life…