Executive Director - Forward Deployment Engineering

Labcorp•Durham, NC

3d•Hybrid

About The Position

Labcorp is seeking an Executive Director, Forward Deployment Engineering, to join our team in Durham, NC. This role is crucial in shaping the future of healthcare by leveraging advanced technologies, intelligent digital solutions, and data-driven innovation across Labcorp's operations. The position involves enhancing how work is done and delivering greater value to customers and patients through global scale and deep expertise. The Executive Director will have the opportunity to do meaningful work, grow their career, and make a real impact on people's health worldwide.

Requirements

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 in people leadership, including responsibility for multidisciplinary teams, strategy, execution, operational performance, talent development, and budget management.
10 or more years of experience defining and executing enterprise data, analytics, AI, cloud, or technology transformation strategies within large, complex, or highly regulated organizations.
10 or more years of experience leading enterprise-scale modernization initiatives involving cloud platforms, data ecosystems, analytics, interoperability, AI/ML capabilities, and mission-critical technology services.
10 or more years of experience partnering with executive and C-suite stakeholders to align technology investments with business priorities, lead organizational change, manage risk, and deliver measurable business outcomes.
10 or more years of experience with data governance, privacy, security, regulatory compliance, and responsible AI principles within healthcare or other highly regulated environments.

Nice To Haves

MBA, Computer Science, Data Science, Engineering, Information Technology, Business Administration.
10 or more years of experience in healthcare, diagnostics, life sciences, pharmaceutical, or other highly regulated industries.
Demonstrated expertise in establishing AI quality, safety, governance, model monitoring, risk mitigation, and responsible AI practices for production environments.
Strong ability to design, evaluate, and guide large-scale distributed architectures and translate technology strategy into scalable, secure, and actionable platform roadmaps.
Deep understanding of customer and business needs, with the ability to translate complex workflows and pain points into technology priorities and platform capabilities.
Advanced knowledge of production AI engineering, including model integration, RAG, agentic workflows, orchestration patterns, lifecycle management, and performance monitoring.
Strong knowledge of prompt engineering, system design, and instruction patterns that support reliable, controlled, and responsible AI behavior in production environments.
Strong proficiency in modern programming languages, such as Python, TypeScript/JavaScript, or equivalent, with the ability to understand, evaluate, and guide enterprise-scale software development.
Advanced knowledge of cloud platforms, managed services, deployment architectures, security, scalability, and cost optimization for enterprise production workloads.
Exceptional ability to communicate complex technical strategies and trade-offs to executives, enterprise customers, and cross-functional stakeholders while driving alignment and informed decision-making.
Demonstrated ability to evaluate emerging AI, cloud, technology, and regulatory trends and translate relevant risks and opportunities into strategic initiatives and platform investments.

Responsibilities

Lead the architecture, strategy, and delivery of flagship systems across Provider Services, Patient Services, and enterprise platforms, ensuring scalable, secure, reliable, and cost-effective solutions.
Lead Enterprise and Custom Onboarding Services, establishing consistent integration practices and enabling a seamless transition from initial implementation through production.
Establish and govern quality assurance, automated monitoring, observability, and continuous quality practices to maintain platform performance and service excellence.
Partner with SRE and DevOps teams to strengthen incident management, operational readiness, capacity planning, and platform reliability.
Define and advance production AI engineering practices, including prompt and system design, agentic patterns, retrieval-augmented workflows, model oversight, and responsible AI controls.
Develop technology roadmaps and evaluate emerging AI, cloud, and platform technologies to identify risks, opportunities, and strategic investments that support business priorities.
Drive operational and process improvements that increase delivery efficiency, developer productivity, quality, and accountability while maintaining security and compliance requirements.
Partner with Product, Security, Compliance, Customer Success, and other stakeholders to translate business and customer needs into platform priorities and technology solutions.
Build, mentor, and develop high-performing engineering leaders and teams while establishing clear accountability, delivery discipline, and a culture of continuous improvement.
Provide strategic technology leadership by balancing business value, customer impact, cost, reliability, risk, and speed-to-market in platform investment and delivery decisions.