Role: AI Governance & Enablement Lead/Governance Manager Location: Austin, TX (Onsite)   Exp. Level: 12+ yrs   Role Purpose Owns approval flows, audit trails, and access control for AI systems, and separately owns raising external team output through AI-assisted enablement programs.   Key Responsibilities • Design and operate approval flows, audit trails, and RBAC for AI-generated code and agent actions, per the Client’s AI-generated code policy. • Build and run enablement/adoption programs for approved AI coding tools and agentic frameworks across the vendor team. • Track and report AI-assisted delivery metrics: cycle time to production, the quality pass-rate of AI-assisted code against review/correctness gates, and defect or escape trends. • Support transition knowledge-transfer activities anchored on Wrike (project history) and Quip (documentation/runbooks). • Track the Client’s evolving AI policy and drive team-wide adoption and compliance. Must-Have • 10–15 years spanning cloud security/IAM/RBAC or AI governance frameworks, and technical training/enablement program delivery. • Demonstrated experience building governance or audit frameworks for AI/ML or automated systems. • Experience running metrics-driven adoption initiatives. Nice-to-Have • SOC2 or equivalent audit/compliance framework background.