Head of Responsible AI Governance

Tier4 Group; Austin (TX); On-site; USD 250,000 - 275,000; Full time

Job summary

Tier4 Group seeks an experienced Responsible AI leader to design, build, and operationalize an enterprise-wide Responsible AI framework. The role focuses on governance, policies, risk controls, and an operating model to guide AI evaluation, deployment, and monitoring across the organization.

This is a strategic, hands-on leadership position not an engineering role, requiring influence with Legal, Compliance, and executive stakeholders to scale Responsible AI programs across complex enterprise

Qualifications

• 10+ years of experience in Governance, Risk & Compliance (GRC) or related fields within complex organizations.
• 2+ years of direct Responsible AI and AI Governance experience, with hands-on implementation.
• Experience developing AI risk classification methodologies and governance workflows.

Responsibilities

• Build and mature an enterprise Responsible AI governance program from the ground up.
• Develop Responsible AI policies, standards, etc.
• Establish AI risk classification frameworks, governance workflows, and oversight processes.
• Design AI intake, review, approval, testing, and monitoring procedures.
• Govern Generative AI, AI agents, plugins, connectors, and emerging AI tech governance.
• Lead Responsible AI risk assessments and governance reviews across the AI portfolio.
• Develop governance processes for AI incidents, escalations, auditability, and regulatory compliance.
• Partner with Legal, Compliance, Privacy, Security, Risk, Engineering, Data, and business leaders.
• Build and facilitate Responsible AI governance committees and working groups.
• Advise executive leadership on AI governance strategy and regulatory developments.
• Create scalable processes that enable innovation with proper oversight.

Skills

GRC Leadership

AI Risk Management

Governance Frameworks

Stakeholder Influence

Job description

Tier4 Group seeks an experienced Responsible AI leader to design, build, and operationalize an enterprise-wide Responsible AI framework. The role focuses on governance, policies, risk controls, and an operating model to guide AI evaluation, deployment, and monitoring across the organization.

This is a strategic, hands-on leadership position not an engineering role, requiring influence with Legal, Compliance, and executive stakeholders to scale Responsible AI programs across complex enterprise