Governance & Responsible AI Leader

GE Vernova

Greenville, United States

Full Time

Posted August 31, 2026

$113k - $113k

Power Generation

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 1, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Employer-provided pay

Job Description

The Governance & Responsible AI Leader is accountable for defining and enforcing the standards that govern safe, compliant, and responsible use of AI across Wind Engineering.

Requirements

Bachelor’s degree in engineering, Computer Science, or a related technical or regulatory field.
Significant experience in technology governance, risk management, regulatory compliance, cybersecurity, or AI/data ethics in a complex technical organization.
Demonstrated ability to develop, implement, and maintain governance frameworks in a matrixed, fast-moving environment.
Practical understanding of AI, machine learning, and generative AI technologies and the specific risks they introduce in industrial or engineering contexts.
Experience partnering with Legal, Security, Privacy, and Compliance functions to develop enforceable policies that teams can practically apply.
Strong stakeholder engagement skills, with the ability to influence without direct authority across engineering, digital, legal, and leadership teams.
Excellent written communication skills, with the ability to translate complex regulatory and risk concepts into clear, actionable standards.
Familiarity with AI regulatory frameworks such as the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, or equivalent standards.
Experience with model risk management in regulated industries (e.g., financial services, aerospace, energy, or healthcare).
Knowledge of cybersecurity frameworks applicable to AI systems, including OWASP ML Security Top 10 or MITRE ATLAS.
Understanding of intellectual property risk in AI contexts, including training data rights, model ownership, and vendor IP exposure.
Experience supporting quality management systems (QMS) with AI-specific documentation requirements or traceability standards.
Comfortable operating in ambiguity and building structured governance approaches in environments where AI standards are still emerging.
Strong integrity and independence mindset, willing to raise concerns, issue escalations, and hold firm on governance standards even under delivery pressure.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).