Governance & Responsible AI Leader
$113,200–$113,200 year
On-siteGreenville, North Carolina, United States or Barcelona, Arkansas, United States
Job Summary
Define and maintain the Wind Engineering AI governance framework covering risk management, cybersecurity, and regulatory compliance. Establish Responsible AI policies for safety-critical decisions, including human-in-the-loop requirements and bias evaluation standards. Oversee risk tiers, validation, and auditability for deployed AI solutions, ensuring documentation meets quality management system integration. Govern cybersecurity, IP protection, and data privacy by partnering with Product Security and Legal to evaluate new tools and vendors. Provide governance approval and oversight for AI deployments through the stage-gate process, issuing structured reviews and escalations. Serve as the primary liaison between Wind Engineering AI programs and enterprise Legal, Security, and Compliance teams to translate policies into actionable requirements.
Required Qualifications
- 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
- Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable)
- Relocation Assistance Provided: Yes
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.