Governance & Responsible AI Leader

Define and Maintain the Wind Engineering AI Governance Framework
Establish and Enforce Responsible AI Policies
Oversee Risk Management, Validation, and Auditability
Govern Cybersecurity, IP Protection, and Data Privacy for AI
Provide Governance Approval and Oversight for AI Deployments
Partner with Legal, Security, Privacy, and Compliance Teams

• 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.

Expertise in defining and maintaining governance frameworks for AI, with a strong focus on risk management, regulatory compliance, and cybersecurity. Proven ability to collaborate with cross‑functional teams to enforce responsible AI policies and ensure data privacy.

• Governance Framework Development
• Risk Management
• Cybersecurity
• AI/Data Ethics
• Stakeholder Engagement

• Technology Governance
• Regulatory Compliance
• AI Technologies
• Machine Learning
• Generative AI

• Influencing Without Authority
• Written Communication

• Data Privacy
• Auditability
• Responsible AI Policies
• Legal Compliance
• IP Protection