Instructure
Director, AI Center of Excellence
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 3 months ago Β· Added 4 days ago
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$200,000β$220,000
Location
United States only
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Other
Published by the employer
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "US-REMOTE, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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. And that's where you come in:
About the role.
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 β turning every function and team into a system that gets smarter and faster every quarter.
What you will be doing.
Build the foundation. Stand up and run the shared AI infrastructure β 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
What you need to know and have.
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 β 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. An advanced degree is a plus.
Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Instructure, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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