Note: The job is a remote job and is open to candidates in USA. McGraw Hill is an education company focused on unlocking the full potential of every learner through learning experiences and technology. The Director, Engineering, Applied AI will build and lead the AI Enablement function, driving AI adoption, governance, cost management, ROI measurement, and enablement across business workflows, data initiatives, and software development.
Responsibilities
- 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
Skills
- This is a remote position open to applicants authorized to work for any employer within the United States
- 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
Benefits
- This is a remote position open to applicants authorized to work for any employer within the United States.
- 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.
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