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McGraw Hill

Director, Engineering, Applied AI

🇺🇸 Remote - New York, New York 🕑 Full-Time 💰 $175K - $220K 💻 Software Engineering 🗓️ September 22nd, 2026

Edtech.com's Summary

McGraw Hill is hiring a Director, Engineering, Applied AI to build and lead the team responsible for making the company AI native. The Director owns AI enablement strategy across business workflow, data, and developer enablement pillars, setting governance, cost, and ROI standards for AI adoption. The role also represents AI enablement to executive leadership and partners with a Solution Architect to turn strategy into execution.
  • Build and lead the AI Enablement team across business workflow, data, and developer enablement
  • Set strategy, priorities, and operating model for how the company adopts and scales AI
  • Establish governance for how AI tools are evaluated, approved, and used, balancing speed with security and compliance
  • Own the cost model and budget for AI tools and enablement programs across all three pillars
  • Define how AI ROI is measured and build reporting that shows leadership what is working
  • Build training programs, communities of practice, and enablement resources for AI fluency
  • Represent AI enablement to executive leadership, translating technical progress into business impact
  • Pay range: $175,000-$220,000 annually, plus an annual bonus plan and benefits

Director, Engineering, Applied AI Full Description

Position: Director, Engineering, Applied AI (Director, AI Enablement)
Employer: McGraw Hill
Location: Remote — open to applicants authorized to work for any employer within the United States
Pay Range: $175,000 - $220,000 annually, plus an annual bonus plan and benefits
McGraw Hill is looking for a Director, AI Enablement to build and lead the team responsible for making the company AI native. This is a senior leadership role with singular ownership of AI enablement across the organization, spanning three pillars: business workflow enablement, data enablement, and developer enablement. The Director reports to the VP of Applied AI Engineering and is accountable for adoption, best practices, governance, cost, and ROI across every business and technology AI transformation the company undertakes.
This role is about building the function, the team, and the operating model that turns AI from a set of scattered tools into a core capability that every part of the business, and every engineering team, relies on — setting strategy across all three pillars while staying close enough to the work to know where it's succeeding and where it's stalling. McGraw Hill is looking for a hands-on practitioner with enterprise GenAI tools like M365 Copilot, Claude, and coding assistants like GitHub Copilot and Claude Code.
What You'll Do:
  • Build, lead, and grow the AI Enablement team across business workflow, data, and developer enablement
  • Set the strategy, priorities, and operating model for how the company adopts and scales AI
  • Partner with the team's Solution Architect to turn strategy into execution
  • Hire, coach, and develop a team that can move fast and partner credibly with technical and business stakeholders
  • Own the company's overall approach to AI adoption, defining playbooks, standards, and training
  • Establish governance for how AI tools are evaluated, approved, and used, balancing speed with security and compliance
  • Own the cost model and budget for AI tools and enablement programs, and define how AI ROI is measured
  • Represent AI enablement to executive leadership, translating technical progress into business impact
Who You Are:
  • A senior leader with a software engineering background who can engage credibly with engineers and executives alike
  • An expert-level user of AI tools yourself, someone others come to for advice on getting the most out of these tools
  • Experience leading a team focused on technology adoption, enablement, or platform strategy
  • A track record of driving org-wide change and adoption of new tools, processes, or ways of working
  • Comfortable owning governance, cost, and ROI conversations
  • Prior experience participating in or leading an AI transformation initiative is highly preferred