Director, Engineering - AI Enablement

McGraw Hill; United States; Remote; USD 175,000 - 220,000; Full time

Benefits offered by this job

Annual bonus

Medical benefits

Benefits package

Job summary

McGraw Hill seeks a senior leader to build and lead an AI Enablement team in the United States, driving adoption of AI across business workflows, data initiatives, and software development. You will set strategy, governance, and ROI frameworks while partnering with architecture to turn plans into scalable execution.

You will hire and coach engineers and business stakeholders, ensuring cost-conscious use of enterprise AI tools, and defining playbooks and training to grow AI fluency across the

Qualifications

• Senior leader with a software engineering background who can engage with engineers and executives across business, data, and developer domains.
• Expert-level user of AI tools, not just a manager of people who use them.
• Experience leading a technology adoption or enablement team with platform strategy or cross-functional focus.
• Track record of driving org-wide change and adoption of new tools or processes.
• Comfortable owning governance, cost, and ROI conversations, speaking to risk and business value.
• Strong executive presence and communication skills to lead from the front or empower teams.
• Prior AI transformation experience is highly preferred.

Responsibilities

• Build, lead, and grow the AI Enablement team across business workflow enablement, data enablement, and developer enablement.
• Set strategy, priorities, and operating model for AI adoption and scaling across workflows, data initiatives, and software development.
• Partner with Solution Architect to turn strategy into execution.
• Hire, coach, and develop a team that moves fast and partners credibly with technical and business stakeholders.
• Represent AI enablement to executive leadership and secure resources.
• Own the company’s AI adoption approach across audiences, building playbooks, standards, and training.
• Establish governance for AI tool evaluation, approval, and use with security, compliance, and risk in mind.
• Define best practices for cost-conscious use of enterprise AI tools and token optimization.
• Create mechanisms for ongoing AI fluency: training programs, communities of practice, and enablement resources.
• Own cost model and budget for AI tools and enablement programs.
• Define how AI ROI is measured and build reporting for leadership.
• Prioritize the AI enablement portfolio by impact and adoption.
• Continuously reassess priorities as tools and business needs evolve.

Skills

Software leadership

Executive communication

AI fluency

Change management

Cross-functional work

Job description

United States

Impact the Moment

At McGraw Hill, our mission is to unlock the full potential of every learner. This role puts you at the center of that mission, applying cutting-edge AI to products used by millions of students and educators.

What You'll Do

• Build, lead, and grow the AI Enablement team across all three pillars: business workflow enablement, data enablement, and developer enablement.
• Set the strategy, priorities, and operating model for how the company adopts and scales AI across business workflows, data initiatives, and software development alike.
• Partner closely with the team's Solution Architect, who owns the technical architecture, patterns, and standards across all three pillars, to turn strategy into execution.
• Hire, coach, and develop a team that can move fast, work hands-on, and partner credibly with both technical and business stakeholders.
• Represent AI enablement to executive leadership, translating technical progress into business impact and securing the resources the function needs.
• Own the company's overall approach to AI adoption across business, data, and developer audiences alike, defining what good looks like and building the playbooks, standards, and training that get teams there.
• Establish governance for how AI tools are evaluated, approved, and used, balancing speed of adoption with security, compliance, and risk.
• Make sure best practices for efficient, cost-conscious use of enterprise AI tools, including coding assistants and token optimization, are defined and adopted across all three pillars.
• Build the mechanisms that keep AI fluency growing over time: training programs, communities of practice, and enablement resources for business users, data practitioners, and developers alike.
• Own the cost model and help set the budget for AI tools and enablement programs, and make disciplined decisions about where to invest across all three pillars.
• Define how AI ROI gets measured across the company, and build the reporting that shows leadership what is working and what isn’t.
• Prioritize the AI enablement portfolio based on business impact, balancing high-visibility initiatives with the unglamorous work that drives real adoption.
• Continuously reassess priorities as tools, vendors, and business needs evolve, and be willing to change direction quickly when the data calls for it.

Who You Are

• A senior leader with a software engineering background who can engage credibly with engineers and executives alike, across business, data, and developer domains.
• An expert-level user of AI tools yourself, not just a manager of people who use them. You should be someone others come to for advice on how to get the most out of these tools.
• Experience leading a team, ideally one focused on technology adoption, enablement, platform strategy, or a similar cross-functional focus.
• A track record of driving org-wide change: getting a large group of people to adopt new tools, processes, or ways of working.
• Comfortable owning governance, cost, and ROI conversations, and able to speak fluently about risk and business value, not just technology.
• Strong executive presence and communication skills, with the judgment to know when to lead from the front and when to let your team run.
• Prior experience participating in or leading an AI transformation initiative is highly preferred.

What Success Looks Like

• The company operates as a genuinely AI native organization, with AI fluency and adoption embedded across business, data, and developer teams alike.
• The AI Enablement team is high-performing, well-regarded, and seen as a trusted partner rather than a gatekeeper across all three pillars.
• Governance, cost, and ROI for AI initiatives are well understood and clearly reported, giving leadership confidence in how AI investment is managed.
• AI enablement is recognized across the company as a durable, strategic function, not a temporary initiative.

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

McGraw Hill is committed to celebrating and supporting the differences that make us each unique and will not discriminate based on a person's gender, gender identity or expression, nationality, color, race, ethnicity, religion, sexual orientation, disability, appearance or veteran status. We are proud to be an equal opportunity employer, and we will also provide reasonable accommodation to qualified individuals with disabilities.

McGraw Hill participates in E-Verify to confirm employment eligibility. For more information, please review the E-Verify Participation Poster and Right to Work Poster. Applicants can also view Federal and State Labor law posters here.

The pay range for this position is between $175,000 - $220,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.