Senior AI Governance & Responsible AI Leader

EY

Beryl (WV)

On-site

USD 107,000 - 193,000

Full time

5 days ago
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Benefits offered by this job

Medical and dental coverage
401(k) with company match
Paid time off

Job summary

EY is seeking an experienced Responsible AI and AI governance professional to help organizations adopt AI responsibly, from strategy to hands-on implementation. The role covers governance maturity assessments, control design, and implementation across AI lifecycles, MLOps/LLMOps, and ERP environments.

You will build scalable, auditable AI programs, collaborate with risk, legal, and engineering teams, and drive governance adoption through phased roadmaps and evidence-driven testing.

Qualifications

  • Bachelor’s degree in a technology risk, AI governance, or related field.
  • 5+ years of experience in AI governance/technology risk.
  • Hands-on experience configuring governance, monitoring, or access controls in cloud/ERP environments.

Responsibilities

  • Lead AI governance assessments and target-state design.
  • Design Responsible AI control frameworks and testing procedures.
  • Implement governance controls across AI lifecycle and CI/CD pipelines.
  • Configure and deploy governance platforms with automated evidence collection.
  • Embed controls into MLOps/LLMOps and ERP environments.
  • Travel as required to meet client needs.

Skills

AI Governance
Regulatory compliance
GRC tooling
Stakeholder facilitation
Hybrid collaboration

Education

Bachelor’s degree

Tools

Microsoft Purview
IBM watsonx.governance
Credo AI
ServiceNow IRM

Job description

EY is seeking an experienced Responsible AI and AI governance professional to help organizations adopt AI responsibly, from strategy to hands-on implementation. The role covers governance maturity assessments, control design, and implementation across AI lifecycles, MLOps/LLMOps, and ERP environments.

You will build scalable, auditable AI programs, collaborate with risk, legal, and engineering teams, and drive governance adoption through phased roadmaps and evidence-driven testing.

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