Executive Director – Infrastructure Solutions Engineering

Executive Director – Infrastructure Solutions Engineering

Requirements

• 15+ years of overall experience in IT or related field.
• 12+ years of progressive experience in infrastructure engineering, architecture, and/or cloud computing.
• 10+ years of experience with following: Proven experience leading and managing high-performing technical teams. Deep and demonstrable understanding of cloud platforms (Azure, Google Cloud Platform, AWS) and their core services. Significant experience architecting and implementing infrastructure solutions with a strong emphasis on scalability, reliability, and security. Strong understanding of AI and Machine Learning principles and the underlying infrastructure requirements for supporting AI/ML workloads (e.g., GPU compute, data pipelines, model deployment). Demonstrated ability to translate business requirements into technical solutions and articulate technical concepts to both technical and non-technical audiences. Strong problem-solving and analytical skills with a proven ability to think strategically and execute tactically. Excellent communication, presentation, and interpersonal skills. Experience with infrastructure-as-code (IaC) tools and automation frameworks.

Responsibilities

• Develop and articulate a clear vision and strategy for Infrastructure Solution Engineering, aligning it with CVS Health’s overall business objectives and technology roadmap. Drive the adoption of a product mindset within the infrastructure organization.
• Define, prioritize, and manage a portfolio of reusable infrastructure solutions and services, treating them as internal “products” with defined value propositions, roadmaps, and lifecycle management.
• Proactively engage with business stakeholders across various functions to understand their pain points and strategic initiatives. Translate business needs into well-defined infrastructure solution requirements.
• Establish and refine a “service provider” model for the Infrastructure Solution Engineering team, ensuring clear service catalogs, SLAs, and effective communication channels with business partners.
• Drive the strategic integration of AI and Machine Learning infrastructure solutions, ensuring scalability, performance, and security for AI/ML workloads across the organization. Stay abreast of the latest advancements in AI/ML infrastructure and identify opportunities for adoption.
• Leverage deep expertise in Azure, Google Cloud Platform, and AWS to architect and engineer cloud-native infrastructure solutions that are cost-effective, resilient, and secure. Define and enforce cloud adoption best practices and standards.
• Lead the design and development of standardized and customizable infrastructure solutions, ensuring they are well-documented, easily consumable, and meet performance, security, and compliance requirements.
• Build, mentor, and lead a high-performing team of infrastructure solution engineers and architects. Foster a culture of innovation, collaboration, and continuous learning.
• Effectively communicate and collaborate with senior leadership, business stakeholders, and other technology teams to ensure alignment on priorities and delivery of impactful solutions.
• Continuously evaluate emerging technologies and trends, particularly in cloud, AI/ML, and infrastructure automation, to identify opportunities for innovation and improvement.
• Manage the budget and resources for the Infrastructure Solution Engineering team effectively, ensuring optimal utilization and return on investment.

Preferred Qualifications

• Experience in a highly regulated industry, such as healthcare or finance.
• Experience with product management methodologies and tools.
• Familiarity with data science platforms and tools.
• Certifications in relevant cloud platforms (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, Google Cloud Certified – Professional Cloud Architect).
• Experience with agile development methodologies.