AI Governance Lead

Kforce has a client that is seeking an AI Governance Lead in Lake Forest, IL. Duties:

• AI Governance Lead will design and implement an enterprise AI governance framework, including policies, standards, controls, ownership and decision-making processes
• Establish a formal employee-facing intake process for AI ideas, use cases and tools, including how requests are assessed, risk-tiered, routed, approved and monitored
• Develop governance standards around model oversight, AI tool usage, vendor and spend management, identity, permissions, data access and appropriate use of AI
• Partner with AI pillar leads to define responsibilities, establish consistent operating practices and ensure teams are working within the broader governance framework
• Work closely with technology, security, data, legal, risk, audit and business stakeholders to evaluate AI initiatives and establish appropriate controls
• As an AI Governance Lead, you will support AI inventory, auditability, governance reporting and executive-level visibility into AI usage, risk and adoption
• Help evolve the organization's broader AI operating model and potentially support the development of an AI Center of Excellence
• 8-10+ years of experience with 1 to 2+ years of direct experience supporting Generative AI governance, along with broader AI/ML governance or technology risk experience
• Experience personally designing, establishing and operationalizing an enterprise AI governance framework, not simply working within an existing program
• Experience establishing AI intake, risk-tiering, approval and ongoing oversight processes within an enterprise environment
• Experience developing formal AI policies, standards and controls across areas such as model governance, tool usage, vendor management, spend governance, identity, permissions and data access
• Experience working across decentralized or federated teams and establishing consistent governance across multiple business functions
• Strong understanding of enterprise AI architecture with the ability to credibly assess risk and partner with technical teams
• Familiarity with enterprise platforms and ecosystems such as Databricks, SAP and related AI technologies
• Strong stakeholder management and executive presence with the ability to translate governance requirements into practical guidance for both business and technical audiences

• Manufacturing, consumer products or another complex enterprise environment
• Experience helping establish or operate an AI Center of Excellence
• Experience partnering with Internal Audit and supporting enterprise AI governance reporting
• Familiarity with established AI governance and risk frameworks such as NIST AI RMF, ISO 42001 or similar standards