Lead Auditor - Data & AI

This role is for a Lead Auditor focused on Data & AI within MetLife's Global Internal Audit organization. The primary responsibility is to deliver independent assurance over data and AI initiatives, ensuring responsible, ethical, and effective use of these capabilities. The role involves supporting risk assessments, leading audits, identifying issues, recommending improvements, and staying updated on data and AI trends, technologies, and regulations. The goal is to modernize audit techniques and influence governance in the context of emerging technology.

What you'd actually do

  1. Support risk assessments and development of audit plans for data and AI governance areas.
  2. Lead and support audits, including planning, fieldwork, reporting, and managing issues to closure via collaboration with audit teams and key stakeholders.
  3. Identify audit issues, present findings, and recommend improvements to reduce risks.
  4. Prepare clear and concise audit deliverables that support audit conclusions and meet quality standards.
  5. Stay updated on data and AI trends, technologies, and regulations, applying insights to audit engagements and supporting the education of data and AI risks and controls to audit teams.

Skills

Required

  • bachelor's degree or higher in information systems, computer science, engineering, or a related field
  • 5 - 7 years of experience in auditing, consulting, or implementing data and AI solutions
  • Understanding of data and AI concepts, principles, techniques, and tools, such as data governance, data quality, data security, data privacy, AI governance, AI risk management, AI explainability, and AI performance
  • Clear written and verbal communication, presentation, and interpersonal skills, with the ability to convey audit findings and recommendations effectively
  • Strong project management and organizational skills, with the ability to handle multiple audit engagements and deliver high-quality results within deadlines and budgets

Nice to have

  • Flexibility and adaptability, with the ability to work in a fast-paced, complex and dynamic environment with evolving changes.

What the JD emphasized

  • data and AI governance
  • AI risk management
  • data and AI trends, technologies, and regulations