Executive Director, AI Transformation, Office of the CAIO

Posted Yesterday
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Durham, NC, USA
In-Office
Expert/Leader
Healthtech • Biotech
The Role
Lead enterprise AI transformation end-to-end: define strategy, roadmaps, and governance; partner with business and tech leaders to redesign workflows; drive build/buy decisions; manage value realization, adoption, change management, and regulatory compliance; oversee transformation teams and scale AI capabilities across the organization.
Summary Generated by Built In

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, AI Transformation, Office of the CAIO to join our team in Durham, NC. Work Schedule: Work Schedule: Durham, NC / Hybrid | Full-time | Reports to: Chief AI Officer | Travel: 40-50% Job Responsibilities:
  • Lead AI-native transformation initiatives across assigned business domains from concept through adoption and value realization.
  • Partner with business, technology, and functional leaders to redesign workflows and operating models using AI-enabled capabilities.
  • Prioritize and execute transformation portfolios based on business value, feasibility, risk, and organizational readiness.
  • Define roadmaps, funding strategies, success metrics, and execution plans for enterprise AI initiatives.
  • Provide product and solution leadership for AI capabilities in partnership with engineering, data, architecture, security, and business teams.
  • Drive build, buy, or partner decisions for AI solutions based on strategic value, economics, risk, and speed to market.
  • Establish standards for AI architecture, evaluation, governance, safety, and production readiness.
  • Ensure AI solutions deliver secure, scalable, and user-centric experiences for employees and customers.
  • Develop and manage business cases, value realization plans, and investment strategies for AI transformation initiatives.
  • Monitor AI adoption, operational performance, and economic outcomes to guide scaling and investment decisions.
  • Lead organizational change management, workforce enablement, and adoption strategies for AI-powered ways of working.
  • Partner with HR and business leaders on workforce transformation, skills development, and role evolution.
  • Ensure compliance with legal, regulatory, privacy, security, and responsible AI requirements across all AI initiatives.
  • Maintain audit readiness and adherence to applicable industry regulations, frameworks, and governance standards.
  • Provide leadership and oversight for transformation teams, solution architects, program managers, and strategic partners.
  • Contribute to enterprise AI strategy, governance, investment decisions, and cross-functional leadership initiatives.
  • Foster a culture of innovation, accountability, and continuous improvement across the AI organization.
Minimum Qualifications
  • Bachelor's degree
  • 15 or more years in technology, digital, AI, data, enterprise strategy, transformation, or operations leadership, with a track record of delivering measurable business results at scale
  • 5 or more years of direct experience leading enterprise transformation programs from strategy through adoption and value realization, including redesigning workflows and operating models. 
  • 5 or more years of Deep operator experience in one or more of the following domains: Contact Center and customer service operations, Revenue Cycle Management, Accessioning and specimen intake, Laboratory operations, Sales and Commercial operations, Finance operations, Clinical Trials and BioPharma operations, or Quality, Compliance, and Regulatory operations. 
  • 5 or more years of experience leading multi-disciplinary teams that combine transformation, AI, product, engineering, and business expertise. 
Preferred Qualifications
  • MBA, Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline, or an equivalent combination of technical, business, and enterprise transformation leadership experience.
  • 5 or more years of experience in healthcare, diagnostics, life sciences, pharmaceutical, payer, provider, or other highly regulated industries.
  • 5 or more years of experience partnering directly with senior executives and supporting C-suite leadership, including preparation for executive committee, board, investor, strategic partner, or other high-profile leadership engagements
  • 5 or more years of experience driving enterprise AI adoption through Centers of Excellence, operating models, innovation programs, or transformation initiatives
  • 5 or more years of experience partnering with Finance, Legal, Privacy, Compliance, and Risk functions to establish governance frameworks, value realization, risk management, and regulatory readiness practices.
Additional Job Standards
  • Deep AI expertise across modern AI architectures, covering generative AI, agentic systems, retrieval and knowledge systems, evaluation and safety discipline, and production AI operations at Fortune 500 scale. 
  • Recognized thought leadership in AI, digital transformation, or enterprise technology through industry speaking engagements, publications, advisory boards, or professional organizations.
  • Active and defensible point of view on the foundation model landscape, including the trade-offs across capability, cost, latency, safety posture, and deployment model. Labcorp remains model-agnostic and selects the best model for the workload. This leader is expected to shape that selection with strategic cloud partners. 
  • Working command of modern enterprise AI platforms, developer AI environments, enterprise AI assistants, and enterprise agentic platforms, with the operating knowledge required to evaluate, roll out, and govern these systems. 
  • Strong financial discipline across business cases, investment decisions, benefit tracking, and value realization, with the ability to partner credibly with Finance so value claims and realized-value reporting stand up to scrutiny. 
  • Experience partnering with Legal, Privacy, Security, Compliance, and Responsible AI leadership to move AI safely into production in a regulated environment. 
  • Ability to see the full operating system: workflow, data, controls, incentives, economics, handoffs, and adoption barriers. 
  • Executive-level written and verbal communication, with the ability to write board-ready narratives, investment cases, decision memos, and crisp escalation notes. 
  • Credibility with senior executives and senior technologists, with the judgment to influence decisions without relying on hierarchy and the maturity to handle confidential information and executive dynamics. 
  • High personal standard for outcomes; stays with the work until value is realized. 
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 Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click 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

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.


Skills Required

  • Bachelor's degree
  • 15+ years in technology, digital, AI, data, enterprise strategy, transformation, or operations leadership
  • 5+ years leading enterprise transformation programs from strategy through adoption and value realization
  • 5+ years deep operator experience in one or more domains (contact center, revenue cycle, accessioning, lab operations, sales/commercial, finance ops, clinical trials/bioPharma, quality/compliance/regulatory)
  • 5+ years leading multi-disciplinary teams combining transformation, AI, product, engineering, and business expertise
  • MBA or advanced degree in Computer Science, AI, Data Science, Engineering, or related (or equivalent combination of experience)
  • 5+ years experience in healthcare, diagnostics, life sciences, pharma, payer, provider, or other highly regulated industries
  • 5+ years partnering directly with senior executives and supporting C-suite leadership (executive committee, board, investor engagements)
  • 5+ years driving enterprise AI adoption through CoEs, operating models, innovation programs, or transformation initiatives
  • 5+ years partnering with Finance, Legal, Privacy, Compliance, and Risk to establish governance, value realization, and regulatory readiness
  • Deep AI expertise across modern AI architectures including generative AI, agentic systems, retrieval/knowledge systems, evaluation, safety, and production AI operations
  • Working command of modern enterprise AI platforms, developer AI environments, enterprise AI assistants, and agentic platforms
  • Strong financial discipline across business cases, investment decisions, benefit tracking, and value realization
  • Experience partnering with Legal, Privacy, Security, Compliance, and Responsible AI leadership to move AI safely into production
  • Executive-level written and verbal communication; ability to produce board-ready narratives, investment cases, and decision memos
  • Credibility with senior executives and senior technologists; ability to influence without relying on hierarchy
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The Company
HQ: Burlington, NC
19,796 Employees
Year Founded: 1978

What We Do

We believe in harnessing science for human good. And so we work day and night, around the world, to deliver answers for all your health questions—whether you’re a provider, drug developer, hospital, medical researcher or patient. That means everything from advancing diagnostic testing to helping launch new drugs, to offering new perspectives through data - all drawing from a deep well of scientific expertise. So when you need trusted information to make clear, confident health decisions, consider us your source.

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