Role: AI Governance & Enablement Lead/Governance ManagerLocation: Austin, TX (Onsite)Exp. Level: 12+ yrsRole 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.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.