Executive Director - Forward Deployment Engineering

Labcorp; Durham (NC); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

Paid Time Off

Tuition Reimbursement

Employee Stock Purchase Plan

Job summary

Labcorp is seeking an Executive Director, Forward Deployment Engineering, to lead architecture, AI engineering, and platform strategy in Durham, NC. The role oversees onboarding, reliability, and governance across multiple enterprise platforms, partnering with executives to drive strategic technology investments.

The ideal candidate has 15+ years in data/AI/cloud leadership, deep domain experience in healthcare or regulated industries, and a track record of delivering large-scale modernization

Qualifications

• Bachelor’s degree.
• 15+ years of progressive experience in data, analytics, cloud, technology, platform engineering, AI, or digital transformation, including leadership of large-scale enterprise technology initiatives.
• 10+ years of experience in people leadership, including strategy, execution, and budget management.
• 10+ years of experience defining and executing enterprise data, analytics, AI, cloud, or technology transformation strategies.
• 10+ years of experience leading enterprise-scale modernization initiatives involving cloud platforms, data ecosystems, analytics, and AI/ML capabilities.
• 10+ years of experience partnering with executive and C-suite stakeholders to align technology investments with business priorities.
• 10+ years of experience with data governance, privacy, security, compliance, and responsible AI principles in healthcare or regulated environments.

Responsibilities

• Lead architecture, strategy, and delivery of flagship systems across Provider Services, Patient Services, and enterprise platforms.
• Establish consistent onboarding services and enable seamless transition from implementation to production.
• Govern QA, monitoring, observability, and continuous quality practices for platform performance.
• Collaborate with SRE and DevOps to strengthen incident management and platform reliability.
• Define and advance production AI engineering practices, including model oversight and responsible AI controls.
• Develop technology roadmaps and evaluate AI, cloud, and platform technologies for risks and opportunities.
• Drive improvements to delivery efficiency, developer productivity, and security/compliance.

Skills

Leadership

AI engineering

Cloud architecture

Enterprise data

Platform modernization

Stakeholder alignment

Regulatory compliance

Responsible AI

Strategic planning

Mentoring

Education

Bachelor's degree

MBA

Data Science

Tools

Python

Cloud platforms

Job description

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, Forward Deployment Engineering, 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 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Additional Job Standards

• AI Quality & Safety: Demonstrated expertise in establishing AI quality, safety, governance, model monitoring, risk mitigation, and responsible AI practices for production environments.
• Architecture & Platform Strategy: Strong ability to design, evaluate, and guide large-scale distributed architectures and translate technology strategy into scalable, secure, and actionable platform roadmaps.
• Customer & Business Acumen: Deep understanding of customer and business needs, with the ability to translate complex workflows and pain points into technology priorities and platform capabilities.
• AI Engineering & Agentic Systems: Advanced knowledge of production AI engineering, including model integration, RAG, agentic workflows, orchestration patterns, lifecycle management, and performance monitoring.
• Prompt & System Design: Strong knowledge of prompt engineering, system design, and instruction patterns that support reliable, controlled, and responsible AI behavior in production environments.
• Programming & Technical Fluency: 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.
• Cloud Technology: Advanced knowledge of cloud platforms, managed services, deployment architectures, security, scalability, and cost optimization for enterprise production workloads.
• Executive Communication & Influence: 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.
• Technology Strategy & Foresight: Demonstrated ability to evaluate emerging AI, cloud, technology, and regulatory trends and translate relevant risks and opportunities into strategic initiatives and platform investments.

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.

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.

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