Lead Director AI Platform Enablement Automation

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.

Qualifications

• 10+ years of information technology leadership experience across various platforms.
• 10+ years of experience translating complex testing and automation strategies into measurable business outcomes.
• 5+ years of experience leveraging AI technologies and development, testing, and automation techniques in a high-performance Agile environment.
• 5+ years of experience in cloud-native environments, including Azure, GCP and AWS.
• 4+ years of hands-on development experience across multiple technology platforms.