VP, AI & Data

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What the market looks like

VP-level leadership across combined AI and data functions is where most of the operational build-out of an AI program actually happens — these roles typically own 20–100-person organizations and sit one rung below the CDO or CAO. The market for these leaders is competitive across technology, financial services, and larger healthcare and consumer organizations. Compensation is generally packaged on a confidential basis including equity and performance-based components; the strongest VP-level leaders we place are those who can develop senior leaders underneath them rather than just run individual teams themselves.

Job responsibilities

• Lead a combined AI and data organization spanning engineering, science, analytics, and platform

• Own the strategy, roadmap, and delivery across the AI and data portfolio

• Hire and develop a senior leadership bench of directors and senior ICs

• Partner with product, engineering, and business-line leadership on priorities and dependencies

• Set and maintain technical and operational standards across the group

• Serve as the senior-most AI and data voice in company-wide decisions below the C-suite

• Own the long-term investment plan for the data and AI platform

• Shape the firm's posture on responsible AI and operational risk

Candidate requirements

• 12+ years of senior engineering, data, or AI leadership experience

• Prior VP-level or equivalent experience leading teams of 30+ people

• Strong technical fluency across modern AI, data, and cloud stacks

• Proven ability to develop senior leaders underneath you

• Excellent executive communication

• Track record of scaling functions through material growth