District AI Coordinator Job Description

A District AI Coordinator is the person a K-12 school system names as its single point of accountability for artificial intelligence. The role turns AI use into governed practice: a board-adopted policy, a list of approved tools, training for every employee group, and a process for handling what goes wrong. Hiring language is not standardized, and the same work can appear under names such as AI coordinator, AI lead, director of AI in education, or coordinator of instructional technology with AI added to the duties.

The day splits into four streams of work.

Policy and guidance. The coordinator drafts the district's AI use policy and the administrative procedures that sit under it, then takes them through cabinet review and board adoption. Guidance follows for each audience: what teachers may use for lesson planning and feedback, what students may use for each grade band, how AI help is disclosed and cited, and when AI use crosses into academic dishonesty.

Tool approval. Every AI product that wants district accounts or student data passes through review. The coordinator reads privacy policies and terms, asks vendors whether student prompts are used to train models, checks data retention and deletion terms, and works with the technology department and counsel on data privacy agreements. Federal rules shape this work. The Federal Trade Commission's amended Children's Online Privacy Protection Rule took effect June 23, 2025, and, apart from a few listed provisions, regulated operators had until April 22, 2026 to comply, including a written information security program and a data retention policy. The FTC said it was not finalizing the proposed amendments related to ed tech and the role of schools at that time, to avoid conflict with potential changes to the Department of Education's FERPA regulations.

Professional learning. The coordinator designs training for teachers, principals, counselors, special education staff and office employees, from a first look at chatbots to subject-specific workshops on feedback, differentiation and assessment redesign.

Risk and incident response. AI misuse lands on this desk, often jointly with cybersecurity staff: AI-written phishing, deepfake images of students or staff, and employees pasting student records into unapproved tools. In CoSN's 2026 member survey (192 respondents, not a representative sample), respondents named student data exposure (87%) as their leading AI concern, followed by AI-generated cyberattacks (70%), with unapproved AI use by staff (60%) and unapproved AI use by students (57%) also on the list.

The coordinator works with a wide cast: the assistant superintendent for teaching and learning, the chief technology officer, curriculum directors, special education leaders, principals, the district's attorney, union representatives when AI touches teacher evaluation or workload, and parents who want to know what their children's data is used for. Typical tools include the AI features inside Google Workspace for Education and Microsoft 365, classroom AI platforms the district licenses, the learning management system, and the device management and web filtering consoles where approved and blocked apps are enforced. The deliverables are documents people actually use: a policy, a tool inventory, training calendars, board presentations and family-facing explainers.

As a rough guide, the path into this job runs through schools rather than the technology industry, typically from classroom teaching to instructional technology coach or technology integration specialist, then to a district-level coordinator post. Others come from school library and media roles, district data and assessment offices, or the technology department with a strong instructional bent.

Education. As a rough guide, expect a bachelor's degree plus a teaching license, and a master's degree in educational technology, curriculum and instruction, or educational leadership for district-level posts. O*NET places instructional coordinators in Job Zone Five, noting that most of these occupations require graduate school, for example a master's degree. Where a district classifies the role as an administrator position, a state administrator or supervisor credential may be required; rules differ by state, so check the state education agency's licensure pages.

Experience. As a rough guide, candidates bring five or more years in schools, including several years of teaching and some time leading adult learning, such as coaching teachers or running district training. Experience on a curriculum adoption, a device rollout or a privacy review is directly relevant, because the tool approval work borrows from all three.

Credentials worth pursuing.

• Certified Education Technology Leader (CETL), awarded by CoSN (Consortium for School Networking). It is built for K-12 technology leaders, and its eligibility pathways include four years of education technology experience in a K-12 educational setting, with alternative pathways for candidates with an associate degree or no college degree who have more years in the field.
• Artificial Intelligence Governance Professional (AIGP), awarded by the IAPP (International Association of Privacy Professionals). Useful for the governance and risk side of the job, especially tool review and vendor terms.

Skills that matter in practice.

• Reading vendor privacy policies, terms of service and data processing addenda closely enough to spot model-training and retention clauses.
• Writing policy and guidance that a board will adopt and a ninth grader will understand.
• Running professional learning for skeptical adults, including veteran teachers and union leaders.
• Working knowledge of student privacy law, including FERPA and COPPA, and the state student privacy statutes that apply in the district.
• Enough technical fluency with large language models to explain hallucinations, prompt data handling, and the limits of AI detection tools.
• Project management for pilots: defining success measures, collecting teacher feedback and reporting results to cabinet.

Diplomacy matters as much as technical knowledge. The coordinator often has to tell a popular principal that a favorite app failed review, or tell a vendor that its contract terms are unacceptable, without losing either relationship.

Federal labor data has no separate line for this title. ONET's job title list files instructional technology coordinator titles under Instructional Coordinators (25-9031); a job set up as an administrator post would fall under K-12 education administrators instead. In May 2025, OEWS counted 103,770 instructional coordinators employed in elementary and secondary schools. ONET projects about 23,100 job openings a year on average for instructional coordinators across all industries over 2025-2035. Those figures describe the broad occupation, not AI coordinators alone.

Several policy developments from 2025 onward bear directly on this work:

• State mandates. Ohio Revised Code section 3301.24, added by House Bill 96, gave every Ohio school district, community school and STEM school until July 1, 2026 to adopt a policy on artificial intelligence use, and told the state education department to write a model policy that districts may adopt.
• Federal funding signals. On July 22, 2025, the U.S. Department of Education issued a Dear Colleague letter on the use of federal grant funds to improve education outcomes using AI, encouraging grantees to explore how AI can support educators "without replacing the critical role they play."
• Executive direction on training. Executive Order 14277, signed April 23, 2025, established the White House Task Force on Artificial Intelligence Education and the Presidential Artificial Intelligence Challenge. Section 7 directed the Secretary of Education to take steps to prioritize the use of AI in discretionary grant programs for teacher training, including professional development for all educators so they can integrate the fundamentals of AI into all subject areas.

Surveys of district technology leaders give a picture of where AI governance stands. CoSN's 2025 State of EdTech District Leadership report found Generative AI ranked the top tech priority, with 80% of respondents working in districts with Gen AI initiatives. In CoSN's 2026 member survey, an association survey supported by HPE and conducted August 11-28, 2026, with responses from 192 members and described by CoSN as descriptive and not representative, about 20% of responding districts reported that leadership had set clear direction and oversight for AI in operational areas such as HR and finance, up from 12% in 2025, while approximately 66% were still in early-discussion or vision forming stages. The same survey found 35% of districts with full AI policies already in place and 42% with policies under active development, and 10% ranked AI governance as their single top technology priority, with 26% placing it second and 24% third.

For candidates, the work does not depend on one job title. It can sit in a standalone coordinator or director post, inside an instructional technology coordinator's portfolio, or with a lead shared across districts through a county or regional service agency. A candidate with a record of training teachers, a privacy review or two, and a written AI guidance document has evidence to show in any of those structures.

Possible next steps include director of instructional technology, director of innovation, chief academic or chief technology officer roles, or into state education agency and regional service center positions that support many districts at once. For those administrator roles, the BLS K-12 education administrators occupation is the closer pay reference.

Dear Dr. Alvarez and members of the hiring committee,

I am applying for the District AI Coordinator position with Lakeview Unified School District. For the past nine years I have worked in public schools, first as a high school English teacher and for the last four as an instructional technology coach serving eleven campuses. Over that time I have become the person principals call when a new tool shows up in classrooms before anyone has asked whether it is safe.

Last year I led our district's first AI working group. I drafted the staff guidance our board adopted in the spring, wrote a separate student version for each grade band, and built a short review checklist our technology department now uses before approving any AI product. That checklist asks vendors four plain questions: what student data they collect, whether prompts train their models, how long they keep data, and how we can delete it. Two popular tools failed that review, and I worked with the vendors until one changed its terms and passed.

Training is the part of this work I enjoy most. I ran a summer institute for teachers on using AI for feedback without outsourcing judgment, and I co-designed an assessment redesign workshop with our English and social studies departments. I also learned to listen: our most skeptical teachers improved the guidance more than anyone, because they found the gaps.

Lakeview's strategic plan names responsible innovation and family trust as priorities. I would bring a practical policy draft, a clear tool review process and a training calendar to the role in my first semester, along with regular, plain-language updates for families and the board.

Thank you for your consideration. I would welcome the chance to discuss how I can help Lakeview's teachers and students use AI well.

Sincerely, Jordan Reyes