Executive Director, Analytics Engineering
About The Position
CVS Health is seeking a senior technology leader to own the software engineering strategy for its analytics ecosystem. The role calls for a leader with a hands-on software engineering background who has progressed through architecture and engineering leadership, and can apply that technical judgment across a large organization. The Executive Director will lead a multidisciplinary engineering team building platforms that support pricing transparency, provider search, call center AI products, voice translation, and large-scale text summarization. The role is accountable for latency, scalability, simplicity, and the reliability of critical systems, and includes direct participation in architecture and code reviews when needed. The position leads and develops a large engineering organization, defines and executes the roadmap for enterprise analytics platforms, and partners with Data Science, Product, Analytics, and Architecture teams to deliver scalable cloud-based data solutions. It also drives operational rigor, engineering standards, clear communication of technical strategy, and a culture of technical excellence and continuous improvement.
Requirements
- 15 or more years of progressive experience in Software Engineering or related technology disciplines.
- 7 or more years of experience leading large engineering organizations through multiple layers of leadership.
- Significant hands-on software engineering background, including experience architecting and delivering end-to-end data or software products.
- Demonstrated progression from engineer to architect to engineering leadership, including experience managing large, multidisciplinary teams.
- Strong understanding of software engineering fundamentals, including system design, performance optimization, and building simplified, maintainable solutions.
- Experience with cloud-based data platforms and modern engineering practices.
- Excellent communication skills and ability to explain technical rationale clearly to varied audiences.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice To Haves
- Experience in healthcare, insurance, or other regulated, high-scale industries.
- Background supporting AI/ML-powered products, such as conversational AI, summarization, or search.
- Experience driving large-scale platform modernization or migration initiatives.
- Familiarity with latency-sensitive, customer-facing systems at enterprise scale.
Responsibilities
- Lead, grow, and mentor a large engineering organization, developing strong managers and senior individual contributors while raising engineering standards.
- Participate in architecture and code reviews for critical systems, reducing latency and unnecessary complexity.
- Partner with Data Science, Product, Analytics, and Architecture teams to turn business priorities into scalable, cloud-based data solutions.
- Define and execute the engineering roadmap for enterprise analytics platforms, balancing near-term delivery with long-term modernization.
- Drive reliability, observability, and cost efficiency across production data platforms supporting healthcare-critical applications.
- Establish engineering practices and standards that improve speed, quality, and maintainability across teams.
- Communicate technical strategy and trade-offs to engineering teams and senior business stakeholders.
- Promote technical excellence, accountability, and continuous improvement.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility
- Eligible for a CVS Health bonus, commission, or short-term incentive program
- Includes an award target in the company's equity award program
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What This Job Offers
Job Type
Full-time
Career Level
Executive
