Executive Director - High Velocity Engineering Platforms

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, High Velocity Engineering Platforms, to join our team in Durham, NC.  Work Schedule: Durham, NC / Hybrid | Full-time | Reports to: Senior Vice President of Platforms, AI & High Velocity Engineering | Travel: 40-50%    Job Responsibilities: Lead the strategy, architecture, and delivery of enterprise AI engineering platforms that enable scalable, secure, reliable, and cost-effective AI capabilities across the organization. Define and govern enterprise engineering frameworks, standards, tooling, libraries, CI/CD pipelines, runtime requirements, and developer experience patterns to ensure consistent and high-quality technology delivery. Establish and advance developer experience capabilities, including reusable frameworks, templates, SDKs, and integrated workflows that accelerate solution development and improve time-to-value. Lead enterprise integration capabilities, including APIs, connectors, and integration standards that enable reliable interoperability across applications, data platforms, AI services, and third-party technologies. Architect and govern AI control plane capabilities, including policy enforcement, access management, model lifecycle controls, model provenance, security requirements, and operational controls. Establish enterprise observability and operational standards, including Open Telemetry, service-level objectives, real-time monitoring, distributed tracing, dashboards, and incident response practices. Enable scalable data science and AI engineering capabilities supporting experimentation, model deployment, feature management, inference, and production operations. Advance agentic AI engineering practices by establishing lifecycle patterns, orchestration approaches, safety controls, and governance frameworks for enterprise agentic solutions. Develop and execute AI engineering and platform roadmaps, establishing investment priorities, performance metrics, cost transparency, and technology strategies that accelerate business value. Partners across Technology, Product, Data, Security, Privacy, Legal, and business functions to drive adoption, organizational change, governance, and compliance with enterprise standards. Provide executive leadership for engineering organizations, including building and developing high-performing teams, managing budgets and resources, establishing KPIs, and representing platform strategy with senior leadership. Evaluate emerging AI technologies, industry capabilities, opportunities, and risks and translate them into strategic platform investments and technology roadmap recommendations. Promote operational excellence through effective management of technical debt, reliability engineering, DevOps/SRE practices, platform performance, security, and continuous improvement.

Bachelor's degree 15 or more years of progressive experience in data, analytics, cloud, technology, platform engineering, AI, or digital transformation, including leadership of large-scale enterprise technology initiatives. 10 or more years of experience leading