AI Engineering Manager, Power & Utilities (Remote)

EY

Denver (CO)

Hybride

USD 126 000 - 230 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Hybrid work model
Total Rewards package

Résumé du poste

EY is seeking a Manager in AI Native Engineering to drive cutting-edge data science and big data solutions for Power & Utilities clients. You will lead cross-functional teams, translate AI outputs into business insights, and ensure scalable, compliant deployments across cloud and on-prem environments.

You will partner with a diverse set of clients, manage engagements end-to-end, and mentor junior staff while navigating highly regulated settings with strong governance and risk management

Qualifications

  • Bachelor’s degree required (4-year degree).
  • 6-10 years of relevant AI/Data Science/ML experience.
  • 2-4 years of experience directly managing technical teams.
  • Strong Python skills.
  • Experience designing and maintaining high-impact production AI/ML solutions on a major cloud platform.
  • Familiarity with DevOps tools, Jira, CI/CD pipelines, and MLOps.

Responsabilités

  • Lead workstreams delivery and manage processes and projects.
  • Identify innovative solutions through research and analysis.
  • Supervise teams to deliver complex technical initiatives and ensure performance.
  • Engage with clients and lead workstreams from planning to closure.
  • Design and deliver AI/ML use cases relevant to Power & Utilities.

Connaissances

Python
Team leadership
Cloud platforms
Data science
AI/ML

Formation

Bachelor’s degree

Outils

Git
Azure DevOps
Jira

Description du poste

EY is seeking a Manager in AI Native Engineering to drive cutting-edge data science and big data solutions for Power & Utilities clients. You will lead cross-functional teams, translate AI outputs into business insights, and ensure scalable, compliant deployments across cloud and on-prem environments.

You will partner with a diverse set of clients, manage engagements end-to-end, and mentor junior staff while navigating highly regulated settings with strong governance and risk management

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