Lead Director AI Platform Enablement Automation

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Lead Director – AI Platform Enablement & Automation leads Integration Engineering with end-to-end ownership across PS, PCW, and Test Automation. This role ensures scalable, reliable, and high-quality delivery by embedding AIOps, and automation across product and operational lifecycles. It oversees AI assisted development, release quality, and proactive incident management through predictive analytics and anomaly detection, aligning outcomes with business objectives, customer experience goals, and executive KPIs/OKRs. The role leverages modern cloud-native and integration technologies, including Azure, AWS, and GCP, along with API-based service orchestration. It utilizes AI/ML and Large Language Models (LLMs) within AIOps frameworks to enable intelligent monitoring, and operational efficiency. Testing frameworks, CI/CD pipelines, and agile methodologies drive continuous quality and deployment velocity. Additionally, the role provides strategic leadership across engineering teams, overseeing budgeting, roadmap planning, and vendor partnerships while driving innovation, reducing technical debt, and enabling resilient, cost-optimized platforms through standardized engineering and automation practices. Responsibilities • Oversee end to end delivery of solutions for PS (Pharmacy Segment)  and PCW (Pharmacy and Consumer Wellness) Lines of business. • Oversee engineering teams operating on legacy middleware technologies and modern cloud platforms such as GCP, AWS and Azure. Lead teams composed of engineering managers, architects, engineers, product leads, and quality engineers. • Drive modernization and automation initiatives (i.e. API Modernization, Platform Migration etc) by identifying opportunities for AI integration and automation. • Work closely with product, engineering, and leadership teams to identify quality risks, communicate insights and metrics, and proactively enhance the customer experience. • Oversee annual budgeting, capital processes, and quality improvement activities for the organization. • Provide both strategic and tactical engineering and architecture leadership, including developing delivery and resource plans, creating roadmaps, and driving operational excellence. Optimize operating costs and budgets by reducing technical debt, improving risk visibility through executive-level reporting, and coordinating program-related activities. • Lead a variety of testing and automation strategies across IT and business operations using AI platforms, ensuring high-quality, scalable delivery aligned with internal and external business objectives and customer experience goals. • Own the end-to-end execution of quality assurance processes across AI model validation and automation, driving consistent quality outcomes and timely release cycles. • Guide the planning and execution of projects and programs; establish technical and functional standards and practices; and oversee processes, procedures, career development, and skills mapping. • Define objectives and key results (OKRs), return on investment (ROI), and key performance indicators (KPIs). Deliver metrics-based reports and make recommendations to improve delivery. • Facilitate communication between technical and non-technical stakeholders to ensure alignment on priorities and deliverables. • Demonstrate a t