Head of AI Native Operations

Responsibilities

• Standards land without chasing: Rules are written, published, wired into onboarding, and followed because non-compliance is automatically visible.
• Universal coverage: Every team has an evidence-backed assessment, owner, and written path to the next level, with disagreements handled through published appeal channels.
• Firm transparency dates: Assessments transition from private to public on pre-committed dates without exception.
• Net-negative meeting time: By year end, the operating rhythm consumes less calendar time across the organization than when you arrived.
• Autonomous operational function: Your two reports operate independently against written charters, at least one non-reference team runs a genuinely automated production workflow, and you focus on review rather than execution.
• Own the maturity model end to end: The rubric, the scoring method, the evidence standard, and the appeals path. Every team ends up with a published assessment and a written plan to its next level.
• Own the standards layer: Define how work gets tracked, decisions get proposed and resolved, teams migrate onto shared tooling, and stale documentation gets retired. Standards ship as documents teams follow without being chased.
• Manage rollouts: Execute private assessments first so leads see only their own and have time to move, followed by a pre-committed public transparency date.
• Build and direct the team: Hire, grow, review, and direct two senior individual contributors (platform and enablement) without doing their work for them.

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