Digital Assurance and Transparency - AI Governance - Director

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Director

Job Description & Summary

The Opportunity

As a Director on the AI Governance team, you will drive the strategic direction and execution of enterprise-wide AI governance initiatives by leveraging innovative methodologies and cutting-edge technology resources. You will lead complex, cross-functional engagements to assess, design, and strengthen AI governance, risk, and control frameworks, ensuring our AI systems operate in a compliant, transparent, and responsible manner.

Acting as a trusted advisor, you will collaborate closely with senior business leaders and stakeholders to embed AI governance into the fabric of the organization, navigating both emerging regulatory requirements and evolving ethical standards. You will also play a critical role in developing and mentoring high-performing teams, shaping the future of AI governance talent within the company.

This role offers a unique opportunity to operate at the forefront of emerging technologies, influencing how AI is responsibly adopted and managed at scale.

Responsibilities

• Lead and empower teams in rigorous evaluation and strengthening of governance, risk, and control frameworks, addressing complex enterprise AI challenges.
• Mentor and develop junior and mid-level staff, cultivating professional skills, leadership capabilities, and a culture of continuous learning within the AI governance function.
• Uphold the highest standards of quality, compliance, and ethical rigor across all deliverables, ensuring alignment with regulatory and organizational policies.
• Build and nurture trusted client and stakeholder relationships through clear, consistent, and impactful communication, fostering collaboration and alignment.
• Utilize advanced technology tools, including data visualization platforms, to monitor project progress, analyze risks, and drive data-informed decisions.
• Proactively identify opportunities for innovation, process improvement, and automation within AI governance initiatives to increase efficiency and effectiveness.
• Collaborate closely with diverse internal and external stakeholders to ensure alignment on project objectives, governance strategies, and risk mitigation approaches.
• Lead AI/ML and emerging technology control efforts, overseeing AI model testing, validation, and controls assessment programs.
• Translate complex AI/technical concepts into clear, actionable guidance for non-technical audiences including senior executives and business partners.
  
  What You Must Have
  
  Bachelor’s degree preferred in Management Information Systems & Accounting, Data Processing/Analytics/Science, Statistics, Mathematics, Physics, Economics and Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory Compliance, Computer Science, or a closely related field. Advanced degrees or certifications are a plus
  
  What Sets You Apart
  
• Extensive experience in AI/ML model testing and validation, risk management, controls testing, or audit functions specifically related to AI, advanced analytics, information systems, or emerging digital technologies.
• Proven ability to leverage a deep understanding of technological risks, internal controls, and enterprise risk management principles to strengthen AI governance frameworks.
• Expertise in leading business and risk management frameworks pertinent to AI, including designing AI governance operating models and establishing technical standards.
• Demonstrated success managing complex projects assessing governance, risk, and control programs at an enterprise scale.
• Experience leading control and compliance efforts across AI/ML and other emerging technologies, ensuring adherence to regulatory and ethical standards.
• Strong coaching and mentorship skills, with the ability to guide teams on emerging data technologies and analytics-driven risk assessments.
• Aptitude for translating complex, technical AI concepts into clear, actionable insights for non-technical stakeholders, including senior leadership and business partners.
• Subject matter expertise to contribute effectively to thought leadership, including devising best practices, frameworks, and positioning the organization as a leader in responsible AI governance.

Travel Requirements

Job Posting End Date