Senior Director, Analytics Engineering — Remote/Hybrid

CVS Health Corporation

New York, Northern (NY, KY)

Hybrid

USD 175,000 - 335,000

Full time

4 days ago
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Benefits offered by this job

Comprehensive medical, dental, and eye
PTO and retirement options
Wellness programs
Equity award program

Job summary

CVS Health Corporation is seeking an Executive Director of Analytics Engineering to own the software engineering strategy behind CVS Health's analytics ecosystem. You will lead a multi-disciplinary team, oversee architecture reviews, and partner with Data Science, Product, Analytics, and Architecture to translate business priorities into scalable cloud data solutions.

The role emphasizes latency, scalability, reliability, and cost efficiency, with opportunities to influence platform

Qualifications

  • 15+ years in Software Engineering or related technology disciplines.
  • 7+ years leading large engineering organizations across multiple levels.
  • Hands-on software engineering background with end-to-end product delivery.
  • Strong grasp of system design, performance optimization, and maintainable solutions.

Responsibilities

  • Lead, grow, and mentor a large engineering organization with strong managers and senior ICs.
  • Engage in architecture reviews and code reviews for critical systems to reduce latency.
  • Partner with Data Science, Product, Analytics, and Architecture teams to translate priorities.
  • Define and execute the engineering roadmap for enterprise analytics platforms.

Skills

Leadership
Communication
System design
Performance optimization

Education

Bachelor's degree in Computer Science or related field

Tools

Cloud platforms (AWS/Azure/GCP)

Job description

CVS Health Corporation is seeking an Executive Director of Analytics Engineering to own the software engineering strategy behind CVS Health's analytics ecosystem. You will lead a multi-disciplinary team, oversee architecture reviews, and partner with Data Science, Product, Analytics, and Architecture to translate business priorities into scalable cloud data solutions.

The role emphasizes latency, scalability, reliability, and cost efficiency, with opportunities to influence platform

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