Director, AI Center of Excellence

Instructure, Inc.,
Hybrid

About The Position

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. We're standing up an AI Center of Excellence, and we're looking for a Director, AI Transformation to lead it. You'll own the system that makes Instructure an AI-native company: shared infrastructure, governance, a cross-functional roadmap, and a clear, honest read on impact. You'll partner with leaders in every function to turn AI from scattered pilots into a capability that gets sharper every quarter. This role reports to the SVP, Data. Our mission for this team is simple: make Instructure the most operationally capable AI-native company in education — turning every function and team into a system that gets smarter and faster every quarter.

Requirements

  • 12 or more years of experience in technology, data, or product roles, including 5 or more years leading teams, with a track record of delivering measurable operational impact at scale — not just pilots.
  • 2 or more years working directly with AI or machine-learning systems, including hands-on familiarity with modern AI tooling, agentic systems, and large language models.
  • Deep understanding of the infrastructure, data, and security that production AI requires, including model registries, integrations, single sign-on, and data-loss prevention.
  • Strong governance instincts. You know how to set guardrails for security, privacy, and quality that speed teams up rather than slow them down.
  • Proven ability to influence across an organization, from individual contributors to executives, and to build coalitions in a decentralized operating model.
  • A bias for clear metrics and honest reporting. You measure what matters and you tell the truth about progress.
  • Experience building enablement and training programs that change how people actually work.
  • Excellent written and verbal communication skills, with the ability to make complex technical topics clear to non-technical audiences.
  • A bachelor's degree in computer science, engineering, data, business, or a related field, or equivalent practical experience.

Nice To Haves

  • An advanced degree is a plus.

Responsibilities

  • Build the foundation. Stand up and run the shared AI infrastructure — integrations, data boundaries, the approved-model registry, and a standard AI stack with single sign-on and data-loss prevention that every function can build on.
  • Set the guardrails. Charter and run the governance council, and put in place the security, privacy, approval, and quality monitoring that let teams move fast without creating risk.
  • Own the roadmap. Set AI COE priorities in collaboration with other departments
  • Prove the impact. Define the standard metrics for cost, throughput, and quality, and report progress through the AI efficiency scorecard.
  • Build capability. Create centralized training libraries and enablement programs along with HR team, and build the place where teams share what works so the whole company benefits.
  • Lead the operating model. Run a centralized-expertise, decentralized-execution model where the Center of Excellence owns the system, functions own the outcomes
  • Build and grow the team. Hire, coach, and develop the Center of Excellence team, including forward-deployed AI engineers, admins etc

Benefits

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection
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