Applied AI leadership

Director or Head of Applied AI & GTM Systems

For organizations that need one senior owner to connect AI strategy, GTM architecture, governance, data, adoption, and measurable business value.

Ideal for

  • Enterprise and growth-stage teams moving AI experiments into production
  • GTM organizations that need shared ownership across business, data, security, and technology
  • Leaders seeking a player-coach who can set strategy and stay close to implementation

Mandate focus

  • Build the operating model from AI intake through production monitoring
  • Connect approved data and systems into reusable, permission-aware workflows
  • Create governance, builder enablement, adoption, and ROI measurement that scale together

Outcomes focus

  • A prioritized AI portfolio tied to business value and accountable owners
  • Production workflows with explicit controls, review paths, and observability
  • Stronger internal builders and repeatable patterns instead of isolated experiments

First 90 days

  • Day 0-30: Inventory use cases, data paths, controls, ownership, and measurable value
  • Day 31-60: Prioritize the portfolio and ship the first governed production workflows
  • Day 61-90: Establish the builder system, adoption cadence, and executive value review

Next step

Compare the mandate with the work.