Cloud Data Modernization Lead for BigQuery & AI Analytics

CVS Health

Illinois

Hybrid

USD 107,000 - 261,000

Full time

10 days ago

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Job summary

CVS Health is seeking a Senior Technical Manager to lead modernization of Investment Management Data Warehouse from on-prem SQL Server to a cloud-native GCP platform with BigQuery. You will guide data pipelines, governance, analytics via Looker, and AI-enabled data access using Vertex AI, collaborating across teams to deliver scalable, secure solutions.

This leadership role requires 10+ years in data/analytics leadership, strong GCP experience, and a track record of delivering large-scale data

Qualifications

  • 10+ years in data/analytics engineering or related leadership roles.
  • Hands-on or leadership experience with GCP, especially BigQuery and security.
  • Experience modernizing data warehouses or cloud migrations.
  • Knowledge of data architecture, ELT/ETL, metadata, governance.
  • Strong Python programming for data engineering and AI workflows.
  • Experience managing technical teams and delivering complex programs.
  • Understanding of cloud security and production resilience.
  • Excellent communication to senior stakeholders.
  • Experience with Vertex AI or AI-enabled analytics.

Responsibilities

  • Lead migration strategy to a cloud-native data platform.
  • Modernize data pipelines and reporting capabilities.
  • Enable governed analytics through Looker.
  • Support AI-powered data access using Vertex AI.

Skills

Data engineering
Cloud data architecture
Python
Leadership
Cloud security
Communication

Education

Bachelor's degree
Master's degree preferred

Tools

BigQuery
Looker
Vertex AI
Google Cloud Platform

Job description

CVS Health is seeking a Senior Technical Manager to lead modernization of Investment Management Data Warehouse from on-prem SQL Server to a cloud-native GCP platform with BigQuery. You will guide data pipelines, governance, analytics via Looker, and AI-enabled data access using Vertex AI, collaborating across teams to deliver scalable, secure solutions.

This leadership role requires 10+ years in data/analytics leadership, strong GCP experience, and a track record of delivering large-scale data

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