Executive Director, Analytics Engineering

About the role

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.

Position Summary: 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.

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

Qualifications

Required:

• 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

Preferred:

• 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

Education

Bachelor's degree in