Mgr, Technical Architect

CVS Health

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
15 days ago
Closes
Jul 31, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $203k
$134k most similar roles pay here $261k

This listing doesn't post a salary. Most similar roles pay $162,000–$244,045.

Based on 239 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 156 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 152 roles with salary data.

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View all roles at CVS Health

At a glance

TL;DR · Mgr, Technical Architect

CVS Health is hiring a Lead Technical Architect to drive enterprise analytics solutions within the ClinOps, MTM, and CRxM domains, focusing on defining technical strategy, establishing architecture standards, and delivering scalable AI-enabled data ecosystems. This role involves hands-on design of end-to-end analytics solutions using Tableau, Dataiku, Alteryx, Python, and other tools, while also mentoring junior team members and fostering a culture of innovation. The ideal candidate has over five years of experience in data analytics or solution architecture, with expertise in enterprise-scale data platforms, SQL, and data governance, as well as a strong background in healthcare or regulated industries.

What you'll do

  • Define and enforce enterprise data architecture standards and governance.
  • Design end-to-end analytics solutions for ingestion, transformation, and consumption.
  • Lead development of analytics solutions using Tableau and related tools.
  • Integrate multiple data sources to deliver actionable insights for decision-making.
  • Evaluate emerging technologies to enhance analytics capabilities and drive innovation.

What we're looking for

  • 5+ years of experience in data analytics, data engineering, or solution architecture.
  • Proven experience designing enterprise-scale data and analytics solutions.
  • Deep expertise in advanced SQL, data modeling, performance optimization, and data platforms (SQL Server, Oracle, Teradata).
  • Hands-on experience with Tableau, Dataiku, Alteryx, and Python-based solutions.
  • Experience designing end-to-end data pipelines and reporting solutions.
  • Strong understanding of SDLC, data governance, and security best practices.
  • Demonstrated ability to translate business requirements into technical solutions.

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