Director, AI Governance Risk & Responsible AI

Acosta Group; Lewisville (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Acosta Group is seeking a Director, AI Governance, Risk & Responsible AI to operationalize governance across the AI delivery lifecycle and embed practical controls aligned with policy and risk expectations.

The role partners with Legal, Compliance, Cybersecurity, Privacy, Risk, Data Governance and business leaders to define GenAI and vendor governance requirements, maintain risk registries, and ensure production readiness.

Qualifications

• Experience leading AI governance programs and implementing governance across AI lifecycles.
• Ability to translate policy and risk expectations into practical controls.
• Strong collaboration with Legal, Compliance, Privacy, Cybersecurity, and business leaders.

Responsibilities

• Operationalize AI policies, governance standards, and lifecycle controls across AI initiatives.
• Establish and maintain AI governance workflows for intake, risk classification, review, monitoring, and retirement.
• Partner with Legal, Compliance, Cybersecurity, Privacy, Risk, Data Governance, Technology, and business leaders to embed AI controls into delivery workflows.
• Define governance requirements for GenAI, agentic AI, copilots, traditional AI/ML, workflow automation, and vendor-delivered AI solutions.
• Maintain enterprise AI inventory, documentation standards, risk tiering, model/agent registry, and evidence artifacts.
• Establish human-in-the-loop controls, automation boundaries, transparency, explainability, bias review, and data protection.
• Create governance standards for production readiness, observability, monitoring, incident response, and ongoing control validation.
• Support third-party AI/tool reviews by assessing responsible AI, data usage, model behavior, and control implications.
• Develop guidance, templates, checklists, and decision records to make governance usable by delivery teams.
• Report governance status and material risks to AI CoE and enterprise leadership forums.

Skills

Governance leadership

AI governance

Risk management

Policy embedding

Stakeholder collaboration

Education

Bachelor's degree in IT/CS/Cybersecurity/Data Science/Risk Management/Law/Business Administration

Job description

Description

The Director, AI Governance, Risk & Responsible AI will operationalize Acosta Group's AI governance model by turning policy, risk expectations, and Responsible AI principles into practical controls embedded in the AI delivery lifecycle. This leader will establish governance processes for AI use cases, tools, vendors, models, agents, copilots, data usage, lifecycle monitoring, and production readiness.

The Director, AI Governance, Risk & Responsible AI will operationalize Acosta Group's AI governance model by turning policy, risk expectations, and Responsible AI principles into practical controls embedded in the AI delivery lifecycle. This leader will establish governance processes for AI use cases, tools, vendors, models, agents, copilots, data usage, lifecycle monitoring, and production readiness.

The role supports the AI CoE operating model of central guardrails, federated execution, and portfolio-driven scaling by enabling Acosta Group to innovate with speed while maintaining appropriate oversight, accountability, security coordination, and evidence of control compliance.

Responsibilities

• Operationalize Acosta Group's AI policies, Responsible AI principles, governance standards, and lifecycle controls across AI initiatives.
• Establish and maintain AI governance workflows for intake, risk classification, review, approval, monitoring, change management, and retirement.
• Partner with Legal, Compliance, Cybersecurity, Privacy, Risk, Data Governance, Technology, and business leaders to embed AI controls into delivery workflows.
• Define governance requirements for GenAI, agentic AI, copilots, traditional AI/ML, workflow automation, externally sourced AI tools, and vendor-delivered AI solutions.
• Maintain enterprise AI inventory requirements, documentation standards, risk tiering, model/agent registry expectations, and evidence artifacts.
• Establish requirements for human-in-the-loop controls, automation boundaries, transparency, traceability, explainability, bias review, data protection, and appropriate use.
• Create governance standards for production readiness, observability, monitoring, incident response, issue escalation, policy exceptions, and ongoing control validation.
• Support third-party AI and tool reviews by assessing responsible AI, data usage, model behavior, security, licensing, auditability, and control implications.
• Develop practical guidance, templates, checklists, review criteria, and decision records that make governance usable by delivery teams.
• Report governance status, control coverage, material risks, open issues, and decision needs to AI CoE and enterprise leadership forums.

Qualifications

• Bachelor's degree in information technology, Computer Science, Cybersecurity, Data Science, Risk Management, Law, Business Administration, or a related field; advanced degree preferred.
• Preferred Certifications such as CRISC, CISM, CISSP, CIPP, CDPSE, CGEIT, AI Governance Professional, Responsible AI certifications.
• 12 or more years of experience in governance, risk management, compliance, technology risk, cybersecurity governance, privacy, enterprise controls, data governance, or related disciplines.
• 5 or more years of leadership experience overseeing governance