At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary:

CVS Health is seeking a visionary and results-driven Lead Director of Quality Engineering to lead our enterprise-wide quality strategy across digital platforms. This role will be instrumental in driving innovation in test automation, AI-powered quality solutions, and engineering excellence to ensure our products meet the highest standards of reliability, performance, and customer satisfaction.

You will lead a team of business analysts and quality engineers, collaborating closely with product, development, and operations teams to embed quality throughout the software development lifecycle. This role requires a strategic thinker with deep technical expertise and a passion for transforming quality engineering through modern practices and emerging technologies.

Key Responsibilities:

Leadership & StrategyDefine and execute the enterprise quality engineering strategy aligned with CVS Health’s digital transformation goals.Lead, mentor, and grow a high-performing team of business analysts, quality engineers and automation specialists.Champion a culture of quality, continuous improvement, and innovation across engineering teams.Quality Assurance & GovernanceEstablish and enforce quality standards, metrics, and best practices across all digital products.Drive shift-left testing practices and integrate quality early in the development lifecycle.Ensure compliance with regulatory and security standards in healthcare and retail domains.Define KPIs such as defect density, automation ROI, and release velocity.Build executive dashboards for quality insights and decision-making.Test Automation & ToolingImplement test automation frameworks for web, API, and cloud backend systems.Evaluate and implement modern tools and platforms for CI/CD, test management, and defect tracking.Promote reusable test assets and automation coverage across teams.AI Integration & InnovationLeverage AI/ML to enhance test coverage, predictive defect analysis, and intelligent test generation.Explore and implement AI-driven quality solutions such as autonomous testing and anomaly detection using platforms such as AWS SagemakerCollaborate with data science and platform teams to integrate AI into quality workflows.Cross-Functional CollaborationPartner with engineering, product, and DevOps leaders to align quality goals with business outcomes.Influence senior stakeholders and communicate quality metrics and insights effectively.Business Analyst LeadershipGuide Business Analysts in requirements engineering using tools such as Confluence,  Jama.Knowledgeable about using Big Data techniques to drive advanced analytics; Oversee data analysis and reporting with SQL, Quicksight/Tableau/Power BI.Strong business acumen and attention to detail with a consistent record of delivering resultsFacilitate cross-functional workshops with collaboration tools like Miro, Lucidchart.Strong project management skills, Ability to prioritize projects against clear and important business objectives.

Required Qualifications:

10+ years of experience in software quality engineering, with 5+ years in leadership roles.Proven track record of leading enterprise test automation initiatives.Hands-on experience with automation tools and CI/CD pipelines.Familiarity with AI/ML concepts and their application in software testing.Strong understanding of Agile, DevOps, and cloud-native development practices.Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications:

Experience in healthcare, pharmacy, or retail technology domains.Knowledge of regulatory frameworks (HIPAA, PCI, etc.).Exposure to AI platforms (e.g., TensorFlow, Azure ML, or similar) in a quality engineering context.Advanced degree in Computer Science, Engineering, or related field.

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 company’s equity award program. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 12/12/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.