Position Summary
The Lead Director 6 Architecture, Client Experience owns the endtoend architecture vision and execution for highly complex, enterprisescale initiatives across Adjudication and Client Experience platforms, partnering closely with business leaders, product management, engineering, security, and enterprise architecture teams.
AI is an integral and mandatory component of all solution designs. The Lead Director will ensure that AIassisted, datadriven, and intelligent capabilities are intentionally evaluated and embedded by default 6not added later 6across platforms, workflows, and developer experiences.
The Lead Director will establish and scale a technology incubation and innovation function, driving the identification, validation, and adoption of advanced architectures 6including AI/ML, Generative AI, agentic workflows, cloudnative platforms, eventdriven integration frameworks, and intelligent automation.
This is a handson architecture leadership role requiring deep technical credibility, strong people leadership, and the ability to influence strategy while staying close to design and implementation.
Key Responsibilities
Lead, manage, and mentor a team Architects, setting clear expectations for architecture quality, consistency, and outcomes
Own architecture standards, guiding principles, and review processes, ensuring AIfirst and automationfirst thinking is applied consistently across all solution designs
Provide handson architecture oversight, design reviews, and technical guidance for Tier1 and strategic initiatives, explicitly validating AI, data, and intelligence opportunities
Drive reuse of platforms, patterns, shared services, and AI capabilities to reduce complexity and accelerate delivery
Lead the development of endtoend, AIenabled solution architectures for highly complex, crossdomain PBM initiatives
Ensure all solution designs evaluate AI assisted decisioning, Automation and intelligent workflows & Data driven insights and observability
Perform and guide Buy vs Build vs Partner analyses, including AI platforms, models, and services, using qualitative and quantitative inputs to make defensible recommendations
Develop and maintain reference architectures for cloudnative, eventdriven, APIfirst, microservicesbased, and AIenabled solutions
Partner with application, platform, and SRE teams to resolve architectural bottlenecks, including scalability, performance, resilience, integration, and operational intelligence
Drive AIfirst, automationfirst architecture, reducing manual processes across development, operations, and business workflows
Guide architects and teams in designing intelligent automation solutions, including: Agentic workflows, Eventdriven orchestration
Lead modernization initiatives focused on technical debt reduction, legacy optimization, and cloud migration, embedding intelligence into modernized platforms
Ensure architectures incorporate security, observability, Responsible AI, and operational readiness by design
Partner closely with business leaders, product management, engineering, data science, security, and EA teams to translate AI capabilities into business outcomes
Present architecture strategies, AI prototypes, and emerging technology capabilities to executive leadership through compelling narratives and demos
Coach and develop architects to be AIliterate, cloudnative, and businessaware technology leaders
Required Qualifications
10+ years of overall design and development experience, including enterprisescale solution architecture
7+ years of handson cloud architecture experience, primarily in Azure, with solid experience in GCP
Deep expertise in software architecture patterns, including DomainDriven Design, microservices, eventdriven, and AIenabled architectures
Strong experience with enterprise integration platforms, including streaming technologies such as Kafka or Pulsar
Proven ability to lead and influence architecture decisions across large, matrixed organizations
Experience mentoring architects and driving AI and platform adoption at scale
Strong ability to translate complex technical and AI concepts into businessrelevant outcomes
Preferred Qualifications
PBM or healthcare domain experience
Handson experience with AI/ML platforms and Generative AI architectures
Knowledge of healthcare data standards and regulatory considerations
Expertise in SQL/NoSQL data stores, caching, and highperformance cloudnative systems
Experience with design thinking and innovation frameworks
Participation in opensource communities or industry forums
Education
Bachelor9s degree in Computer Science, Engineering, or a related field or equivalent experience, Master9s degree preferred
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company9s equity award program.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on .
We anticipate the application window for this opening will close on: 07/09/2026
