Executive Director, Analytics Engineering

CVS Health

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$175,100–$334,750 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Oct 9, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $240k
This role $255k
$156k most similar roles pay here $354k

This role pays more than 55% of similar roles. Most pay $195,963–$283,400 — the shaded band above. At the midpoint, this role pays about $255k versus about $240k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 87 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 84 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Executive Director, Analytics Engineering

Executive Director, Analytics Engineering serves as a senior technology leader responsible for the software engineering strategy powering the analytics ecosystem. This role involves leading a multi-disciplinary team to build platforms supporting pricing transparency, provider search, call center AI products, voice translation, and large-scale text summarization. The successful candidate will manage the engineering roadmap, drive operational rigor regarding reliability and cost efficiency, and participate directly in architecture and code reviews to reduce latency and complexity. Key requirements include over 15 years of experience in software engineering and at least seven years leading large organizations. The role requires expertise in cloud-based data platforms, system design, and performance optimization. Candidates must be able to translate business priorities into scalable solutions while managing the technical trade-offs involved in maintaining high-scale, healthcare-critical applications and modernizing enterprise analytics infrastructure.

What you'll do

  • Lead, grow, and mentor a large multi-disciplinary engineering organization while raising standards for engineering craft.
  • Perform hands-on architecture reviews and code reviews to reduce latency and eliminate system complexity.
  • Translate business priorities from product and data science teams into scalable, cloud-based data solutions.
  • Define and execute the engineering roadmap for enterprise analytics platforms and long-term modernization efforts.
  • Drive operational rigor including reliability, observability, and cost efficiency across production data platforms.
  • Establish engineering best practices to improve speed, quality, and maintainability across all teams.
  • Communicate technical strategies and trade-offs clearly to both engineering staff and senior business stakeholders.

What we're looking for

  • 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 architecting and delivering end-to-end data or software products.
  • Demonstrated growth path from engineer to architect to engineering leadership managing multi-disciplinary teams.
  • Strong grasp of core software engineering fundamentals, including system design, performance optimization, and building maintainable solutions.
  • Experience with cloud-based data platforms and modern engineering practices.
  • Excellent communication skills to explain technical rationale clearly to varied audiences.
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.

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