AI Governance Enablement Lead/Governance Manager

Role: AI Governance Enablement Lead/Governance Manager

Location: Austin, TX (Onsite)

Duration: Long Term

Job Description:

Role Purpose:

Own approval flows, audit trails, and access control for AI systems, and separately own 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 Skills:

• 10-15 years of experience 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 Skills:

• SOC 2 or equivalent audit/compliance framework background.