AI Governance Lead

KLA•Ann Arbor, MI

2d•$133,300 - $226,600•Onsite

About The Position

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. This role will be responsible for establishing and operating KLA’s AI governance framework across all approved AI platforms, models, agents, and automation capabilities. The focus will be on responsible AI adoption, policy enforcement, risk management, compliance, platform guardrails, AI inventory, approval workflows, and executive visibility. The goal is to ensure AI is deployed safely, transparently, cost-effectively, and in alignment with business, legal, security, privacy, and regulatory expectations. This will involve developing policies, standards, intake processes, risk frameworks, approval models, executive dashboards, and governance operating models.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Business, Risk Management, or a related field
10+ years of progressive IT, governance, risk, compliance, security, data, or AI program leadership experience
Five (5) years leading cross-functional governance, compliance, risk management, technology oversight, or enterprise transformation initiatives
Strong understanding of generative AI, machine learning, agentic AI, AI platforms, AI lifecycle management, model governance, data governance, privacy, and security concepts
Ability to influence senior stakeholders and translate complex AI governance concepts into clear business decisions

Nice To Haves

Master’s degree preferred

Responsibilities

Establishing and operating KLA’s AI governance framework across all approved AI platforms, models, agents, and automation capabilities
Focusing on responsible AI adoption, policy enforcement, risk management, compliance, platform guardrails, AI inventory, approval workflows, and executive visibility
Ensuring AI is deployed safely, transparently, cost-effectively, and in alignment with business, legal, security, privacy, and regulatory expectations
Developing policies, standards, intake processes, risk frameworks, approval models, executive dashboards, and governance operating models