Executive Director, Analytics Engineering

CVS Health is hiring an Executive Director to lead the engineering organization and strategy behind its analytics ecosystem. The role oversees enterprise analytics platforms and healthcare-focused data products, with accountability for architecture, performance, reliability, modernization, and engineering excellence.

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

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
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 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