Executive Director, Analytics Engineering
About The Position
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. We're looking for a senior technology leader to own the software engineering strategy that powers CVS Health's analytics ecosystem—someone who came up through hands-on software engineering, understands what makes systems fast and reliable at the foundation, and has grown into an architect and now an engineering executive who can scale that judgment across a large organization. This isn't a role for someone whose experience is primarily strategy decks and roadmap templates, or for someone who has only coordinated other people's engineering work without having done it themselves. You'll lead a multi-disciplinary engineering team building the platforms behind pricing transparency, provider search, call center AI products, voice translation, and large-scale text summarization. You'll be accountable for latency, scalability, and simplicity—and you won't hesitate to jump into a code review or a design discussion when it matters.
Requirements
- 15+ years of progressive experience in Software Engineering or related technology disciplines.
- 7+ 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 growth path from engineer to architect to engineering leadership, with experience managing large, multi-disciplinary teams
- Strong grasp of core software engineering fundamentals—system design, performance optimization, and building simplified, maintainable solutions
- Experience with cloud-based data platforms and modern engineering practices
- Excellent communication skills, with the ability to explain technical rationale clearly to varied audiences
Nice To Haves
- Experience in healthcare, insurance, or other regulated, high-scale industries
- Background supporting AI/ML-powered products (e.g., conversational AI, summarization, 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, building strong managers and senior ICs while raising the bar on engineering craft
- Personally engage in architecture reviews and code reviews for critical systems, driving down latency and eliminating unnecessary complexity
- Partner with Data Science, Product, Analytics, and Architecture teams to translate 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 platform modernization
- Drive operational rigor—reliability, observability, and cost efficiency—across production data platforms supporting healthcare-critical applications
- Establish engineering best practices and standards that improve speed, quality, and maintainability across teams
- Communicate technical strategy and trade-offs clearly to both engineering teams and senior business stakeholders
- Champion a culture of technical excellence, accountability, and continuous improvement
Benefits
- medical
- dental
- vision coverage
- paid time off
- retirement savings options
- wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Executive
