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.

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 fulltime 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.

Job Responsibilities

• 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 endtoend 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 nonAI solution components.
• Collaborate with development and QA teams on solution components such as UI/UX and data engineering.
• Build mentor and develop highperforming 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 servicesbased outcomebased and staff augmentation.
• Ensure vendordelivered 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.

Minimum Qualifications

• 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 Bachelors degree in Computer Science Engineering Data Science Artificial Intelligence or a technical field with 15 or more years of experience; or Masters 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 endtoend solution delivery lifecycles including ideation design development deployment and lifecycle management
• 10 or more years of experience managing vendor relationships and delivering solutions using servicesbased outcomebased or staff augmentation engagement models

Preferred Qualifications

• Masters 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

Additional Job Standards

Strategic and Business Acumen

• Ability to define and execute enterpriselevel strategies aligned with corporate objectives.
• Understanding of financial and operational drivers to support AI investment prioritization and decisionmaking.
• Knowledge of healthcare or life sciences industry dynamics and regulatory environments.

AI and Emerging Technology Expertise

• Understanding of AI and machine learning concepts including generative AI large language models natural language processing and predictive analytics.
• Familiarity with data ecosystems model lifecycle management and AI platforms.
• Awareness of responsible AI principles explainability fairness and compliance considerations.

Leadership and Influence

• Ability to build relationships with executive stakeholders and influence enterprise decisionmaking.
• Experience leading crossfunctional teams in matrixed environments.
• Strong executive communication and storytelling capabilities.

Innovation and Transformation

• Ability to identify and prioritize highimpact AI use cases.
• Experience developing business cases roadmaps and implementation strategies.
• Ability to assess feasibility scalability and risk of emerging technologies.

Organizational Change and Enablement

• Experience driving enterprise adoption of new technologies and ways of working.
• Ability to support organizational transformation and talent development initiatives.
• Ability to operate in evolving innovationdriven environments.

External Ecosystem Engagement

• Understanding of AI vendor landscape startups and research ecosystems.
• Ability to build partnerships that accelerate enterprise AI capabilities.
• Up to 25% travel may be required.

About the Role

The VP AI Center of Excellence (CoE) Enterprise Systems is responsible for operationalizing Labcorps enterprise AIfirst strategy and driving the delivery of AI initiatives across Diagnostics Central Laboratory Services and Early Development business units. This role owns the endtoend AI delivery portfolio partnering with senior business and IT stakeholders to implement scalable AI solutions that deliver measurable business outcomes.

Reporting to the SVP Enterprise Systems this position leads AI architecture delivery and governance within Enterprise Systems while collaborating closely with Enterprise AI Architecture Security Infrastructure and delivery teams. The role ensures AI solutions align with enterprise standards drives adoption across the organization and builds highperforming teams that enable longterm competitive advantage through AI.

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 regularly scheduled to work less than 20 hours Casual Intern and Temporary employees are only eligible to participate in the 401(k) who are regularly scheduled toworka 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information pleaseclick 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

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