Drimva

CVS Health

Lead Solution Architect - Marketing Communications

$107K–$261K

Work At Home-Connecticut · Remote · Full-time · Posted Oct 23, 2026

Experience
10+ years of technology experience, including 5+ years in enterprise, platform, or solution architecture roles.
Education
Bachelor's degree in a technical field or equivalent experience required; Master's degree preferred.

About the job

Defines and guides enterprise and solution architecture for CVS Health’s customer communications platforms, integrations, data, consent, and cloud capabilities.

What you'll do

  • Set target-state architecture and platform roadmaps; establish architecture standards and governance.
  • Design communications platforms, data flows, APIs, integrations, and cloud infrastructure, and guide engineering teams through delivery.
  • Evaluate vendors and build-versus-buy options; present architectural recommendations and assess AI and machine-learning use cases.

What they ask for

  • 10+ years of technology experience, including 5+ years in enterprise, platform, or solution architecture roles.
  • Experience architecting large-scale software platforms and working across enterprise and solution architecture.
  • Hands-on architecture experience in customer communications, marketing technology, customer engagement platforms, or a closely related domain; experience with Salesforce, Adobe Experience Cloud, Adobe Experience Manager, Adobe Experience Platform, or comparable technologies.
  • Bachelor's degree in a technical field or equivalent experience required.

Nice to have

  • Experience with enterprise messaging channels, Salesforce or Adobe engagement platforms, consent management, or message archival.
  • Experience in regulated, high-volume consumer industries; familiarity with privacy regulations or architecture frameworks.

Pay

$106,605.00 - $260,590.00 USD base salary

Tools

Salesforce, Adobe Experience Cloud, Adobe Experience Manager, Adobe Experience Platform, GCP, REST APIs, JSON, ArchiMate

AI focus

Evaluate AI and machine-learning use cases in customer communications, including next-best action, audience intelligence, personalization, and content generation, with architectural and compliance controls.

Model-written summary · the original posting is authoritative

First seen Oct 24, 2026 · Last verified Nov 5, 2026 (UTC)