Head of Responsible AI & Risk Governance

RWE AG; Austin (TX); On-site; USD 200,000 - 240,000; Full time

Benefits offered by this job

Office-based role

Travel opportunities

Job summary

RWE Americas, LLC is seeking an senior leader to own the enterprise Responsible AI (RAI) framework and serve as the RAI expert to the Executive Leadership Team. You will embed regulatory and ethical controls across the AI product lifecycle and collaborate with legal, IT/OT, and business units to ensure responsible AI deployment.

The role requires extensive experience in AI governance, risk assessment, and stakeholder engagement, with a focus on aligning AI initiatives with corporate strategy and

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Ethics, Law, or a related field with a focus on AI/ML, ethics, or governance.
• Certifications or specialized training in Responsible AI, AI ethics, or governance frameworks are preferred.
• Minimum 11 years of relevant professional experience in responsible AI, technology governance, regulatory compliance, ethics, or related roles.
• Deep expertise in responsible RAI best practice, frameworks, and the AI regulatory landscape.

Responsibilities

• Own the enterprise Responsible AI (RAI) framework, embedding legal, regulatory, and ethical controls throughout the AI product lifecycle.
• Lead the RAI governance committee to oversee portfolio-level risk and drive consistency of responsible AI across the enterprise.
• Shape the organization's position on RAI standards and engage with internal and external stakeholders.
• Maintain and operationalize the RAI handbook in partnership with legal, IT/OT, and other stakeholders.

Skills

RAI governance

Regulatory compliance

Stakeholder management

Policy development

Executive communication

Education

Master’s or PhD in CS/DS/Ethics/Law

Job description

RWE Americas, LLC is seeking an senior leader to own the enterprise Responsible AI (RAI) framework and serve as the RAI expert to the Executive Leadership Team. You will embed regulatory and ethical controls across the AI product lifecycle and collaborate with legal, IT/OT, and business units to ensure responsible AI deployment.

The role requires extensive experience in AI governance, risk assessment, and stakeholder engagement, with a focus on aligning AI initiatives with corporate strategy and