Cloud & Data Platform Manager — Build Scalable AI Pipelines

EY; Chicago (IL); Remote; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Job summary

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. The role spans architecture to production, owning workstreams, budgets, and client relations.

The candidate will lead cross-functional teams across data engineering, software engineering, AI/ML, and cloud governance, with a hands-on approach to ensure availability and performance of services.

Qualifications

• Bachelor’s degree required.
• 4+ years of relevant experience preferred.
• Proven experience with Azure services and container orchestration.
• Experience with infrastructure automation and CI/CD tooling.

Responsibilities

• Lead one or more technical workstreams and assure delivery quality.
• Translate requirements into architecture, pipelines, models, or production platforms.
• Manage budgets, engagement economics and client interactions.
• Design, provision, and run cloud and container platforms for production use.
• Build scalable data pipelines and streaming architectures on cloud platforms.

Skills

Analytical thinking

Problem solving

Self-starter

Strong communication

Education

Bachelor’s degree (4-year)

Tools

Azure Functions

Azure Kubernetes Service (AKS)

Terraform

GitHub Actions

Azure DevOps

Kubernetes

Job description

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. The role spans architecture to production, owning workstreams, budgets, and client relations.

The candidate will lead cross-functional teams across data engineering, software engineering, AI/ML, and cloud governance, with a hands-on approach to ensure availability and performance of services.