• Lead the protection and defense of UMG’s digital applications and product ecosystem with an emphasis on securing artificial technology (AI) • Detect, mitigate, and respond to AI-related security threats, ensuring that applications and services remain resilient against AI-cyber threats • Establish, lead, and execute multi-year roadmaps to mature AI security, drawing upon cross-functional partnerships to deliver security posture reviews on a repeatable basis and review new AI systems as they're developed • Conduct application and product security evaluations and lead AI security assessments in a cross-functional environment, driving finding remediations • Secure AI Development Lifecycle: Procure and/or build technical solutions to embed automated security checks into the AI SDLC and ML-Ops • AI Threat Modeling: Threat model complex Agentic and AI systems and design security requirements collaboratively with developers, architects, and business stakeholders • Code Analysis: Review code for security bugs in the context of AI-driven systems • GRC: Provide leadership for AI Security policies and standards in collaboration with technology risk • AI/Agent SME: Provide AI/Agent subject matter expertise for AI Incidents and Security Reviews, and help develop incident response playbooks for AI-related security incidents • Assist in the formation of an AI Center of Excellence (ACE)