Responsible AI Director 5770

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

Compensation: $250,000-$275,000 base salary + annual bonus

Build an Enterprise Responsible AI Program from the Ground Up

Overview:

• We are seeking an experienced Responsible AI leader to design, build, and operationalize an enterprise-wide Responsible AI framework for a rapidly growing organization making significant investments in AI and digital transformation.
• This is a rare opportunity to establish the governance, policies, risk frameworks, controls, and operating model that will guide how AI is evaluated, approved, deployed, monitored, and scaled across the enterprise.
• This is not an AI engineering role. We are looking for a strategic and hands‑on builder who has successfully created and implemented Responsible AI programs within complex organizations and can effectively influence executive leadership, legal, compliance, risk, business, and technology stakeholders.

What You’ll Do

• Build and mature an enterprise Responsible AI governance program from the ground up
• Develop Responsible AI policies, standards, controls, and operating procedures
• Establish AI risk classification frameworks, governance workflows, and oversight processes
• Design AI intake, review, approval, testing, and monitoring procedures
• Create governance for Generative AI, AI agents, third‑party AI solutions, plugins, connectors, and emerging AI technologies
• Lead Responsible AI risk assessments and governance reviews across the AI portfolio
• Develop governance processes for AI incidents, escalations, auditability, and regulatory compliance
• Partner closely 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, risk management, ethical considerations, and regulatory developments
• Create scalable processes that enable innovation while maintaining appropriate oversight and controls

Required Experience

• 10+ years of experience in Governance, Risk & Compliance (GRC), Technology Risk, AI Risk, Enterprise Technology, Digital Transformation, or Management Consulting, with a demonstrated track record of building enterprise governance frameworks, operating models, controls, and risk management programs within complex organizations.
• 2+ years of direct Responsible AI and/or AI Governance experience with hands‑on responsibility for building and operationalizing Responsible AI frameworks, governance programs, operating models, risk assessment processes, controls, and oversight mechanisms. Candidates must be able to clearly articulate a Responsible AI framework or governance program they personally helped design, implement, and scale, rather than solely operating within an existing governance structure.
• Demonstrated experience developing AI risk classification methodologies, governance workflows, intake and review processes, approval procedures, monitoring programs, and governance throughout the AI product lifecycle.
• Strong understanding of AI/ML products, Generative AI, LLMs, AI agents, plugins, connectors, third‑party AI solutions, and AI product development lifecycles, with the ability to credibly challenge engineering and product teams on governance, risk, and control considerations.
• Experience governing, assessing, or developing controls for Generative AI, LLMs, AI agents, agentic AI capabilities, Microsoft Copilot, Claude, OpenAI technologies, AI plugins, connectors, and third‑party AI platforms, with the ability to evaluate associated risks and governance implications.
• Experience partnering with and influencing senior stakeholders across Legal, Compliance, Privacy, Security, Risk, Engineering, Data, Technology, Product, and business functions.