Executive Director, AI Transformation, Office of the CAIO – AI Transformation

Job Description

Executive Director, AI Transformation, Office of the CAIO | Labcorp

The Tone:
This is a full-time role at Labcorp, located in Durham, NC. Labcorp is a global leader in laboratory services, using science, data, and technology to advance diagnostics and address important health challenges. The company is leveraging advanced technologies and data-driven innovation to improve operations and deliver greater value to customers and patients. This role is crucial for leading AI-native transformation initiatives to enhance how work gets done and improve health outcomes worldwide.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Hybrid, Durham, NC, USA

• Team: Reports to: Chief AI Officer
• Mission: Lead AI-native transformation initiatives across assigned business domains from concept through adoption and value realization.
• Tech Stack: Modern AI architectures, generative AI, agentic systems, retrieval and knowledge systems, enterprise AI platforms, developer AI environments, enterprise AI assistants, enterprise agentic platforms

What You’ll Actually Do
• Lead: Lead AI-native transformation initiatives across assigned business domains from concept through adoption and value realization.
• Provide: Provide product and solution leadership for AI capabilities in partnership with engineering, data, architecture, security, and business teams.
• Establish: Establish standards for AI architecture, evaluation, governance, safety, and production readiness to ensure secure, scalable, and user-centric experiences.
• Drive: Lead organizational change management, workforce enablement, and adoption strategies for AI-powered ways of working.
• Ensure: Ensure compliance with legal, regulatory, privacy, security, and responsible AI requirements across all AI initiatives, maintaining audit readiness.

The Must-Haves
• Background: Bachelor’s degree with 15 or more years in technology, digital, AI, data, enterprise strategy, transformation, or operations leadership.
• Experience:
• 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.
• Skills:
• 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.
• 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.
• 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, and decision memos.
• Bonus:
• 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.
• Recognized thought leadership in AI, digital transformation, or enterprise technology through industry speaking engagements, publications, advisory boards, or professional organizations.