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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Executive Director - Enterprise & Flagship Platform Services - **Company:** LabCorp - **Location:** Durham, NC, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Computing, Continuous Integration, Data Governance, Dataspaces, DevOps, Interoperability, Machine Learning, Reliability Engineering, Software Deployment, Enterprise Data Management, Model Validation, Agentic-AI, Information Technology - **Published:** October 15, 2026 - **Apply:** https://labcorp.wd1.myworkdayjobs.com/External/job/Durham-NC/Executive-Director---Enterprise---Flagship-Platform-Services_2635559-1 ## About the Role * Bachelor's degree * 10 or more years of experience in people leadership, including responsibility for multidisciplinary teams, organizational 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., * 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. ## Description * Define and execute the strategy and roadmap for flagship enterprise platforms, including Provider Services, Patient Services, Enterprise and Custom Onboarding, ensuring scalable, reliable, secure, and high-quality solutions. * Lead platform operations and site reliability engineering practices, including observability, incident management, capacity planning, service-level performance, and continuous operational improvement. * Establish and govern AI quality and safety standards for models, agents, prompt and system designs, and AI-enabled workflows, supporting responsible deployment and ongoing monitoring. * Define enterprise architecture and platform standards that promote modularity, reuse, interoperability, security, reliability, and cost-effective scalability across product and technology environments. * Lead enterprise and custom onboarding capabilities, improving time-to-value while ensuring alignment with integration, privacy, security, compliance, and data governance requirements. * Evaluate emerging AI/ML technologies, agentic capabilities, and industry trends and translate relevant opportunities into platform strategies, roadmaps, and modernization investments. * Streamline engineering and delivery processes to improve developer productivity, delivery effectiveness, estimation, quality, and overall operational efficiency. * Partner with Product, Sales, Clinical, Customer Success, and other stakeholders to understand customer and business needs, translate them into platform requirements, and establish investment priorities. * Build, lead, and develop high-performing technology teams while fostering accountability, engineering excellence, continuous improvement, and a strong platform-oriented culture. * Partner with Security, Legal, Finance, Privacy, and other enterprise functions to manage technology risk, regulatory requirements, cloud costs, and platform governance., * Communication & Stakeholder Influence: Exceptional ability to communicate complex technical concepts clearly, influence stakeholders at multiple levels, and drive alignment across business and technology teams. * Leadership & Ownership: Demonstrated ability to provide end-to-end leadership and accountability for large-scale enterprise platforms, operational performance, and long-term technology outcomes. * Quality & Operational Excellence: Strong ability to establish measurable quality indicators, promote automated quality practices, and drive continuous improvement across enterprise platforms. * Cloud & Platform Engineering: Advanced knowledge of cloud technologies and enterprise platform engineering, including scalability, security, reliability, performance, and cost optimization. * DevOps & Site Reliability Engineering: Deep knowledge of observability, incident management, CI/CD, capacity planning, service reliability, and operational practices supporting enterprise-scale platforms. * AI/ML Quality & Safety: Strong knowledge of AI/ML principles, model evaluation, production deployment, lifecycle monitoring, responsible AI practices, and risk controls for production AI solutions. * Enterprise Architecture: Demonstrated ability to evaluate architectural options and trade-offs and guide scalable, modular, secure, and reusable platform architectures supporting complex enterprise environments. * Agentic AI & System Design: Advanced knowledge of agentic workflows, orchestration patterns, prompt and system design, and controls supporting reliable and responsible AI behavior. * Customer & Business Acumen: Strong understanding of customer and business needs, with the ability to translate workflows and requirements into platform capabilities that improve adoption and business value. * Process Improvement: Demonstrated ability to evaluate and improve cross-functional processes, reduce complexity and delivery friction, and increase organizational effectiveness. * Platform Mindset: Demonstrated ability to develop reusable platforms, services, APIs, and developer capabilities that support enterprise-wide adoption and scalability. * Technology Strategy & Foresight: Strong ability to evaluate emerging technologies, industry trends, risks, and opportunities and translate them into forward-looking platform strategies and investment priorities.