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Lead Specialist in Academic Technology Innovation
2 months ago
Job Posting Title:
Lead Specialist in Academic Technology Innovation----
Hiring Department:
Academic Technology----
Position Open To:
All Applicants----
Weekly Scheduled Hours:
40----
FLSA Status:
Exempt----
Location:
UT MAIN CAMPUS----
Job Details:
General Notes
Must be eligible to work in the US on a full-time basis for any employer without sponsorship.
Purpose
The Lead Specialist in Academic Technology Innovation will spearhead a range of initiatives for the Office of Academic Technology (OAT) aimed at enhancing educational practices through the application of generative AI technologies. This role will engage with essential academic technology partners to ensure that the generative AI tools, resources, and special projects at UT Austin are in alignment with university-wide academic technology standards. Key projects include overseeing the instructional design of the university's innovative AI Tutor. This position will play a crucial role in the design, development, implementation, and refinement of generative AI applications and digital resources to create tailored, interactive learning experiences that promote the responsible integration of AI in higher education.
Responsibilities
- Instructional/Application Design and Development: Direct the creation and design of strategic generative AI projects to enhance the adoption of effective academic technologies and support the educational mission of the University. Collaborate with various stakeholders to develop and refine business requirements. Establish and execute user testing protocols to collect feedback and foster continuous enhancement. Ensure compliance with the Learning Technology Adoption Process (LTAP) and other academic technology standards.
- Project Management and Collaboration: Act as the project lead for significant academic technology initiatives that promote the effective use of generative AI in education, coordinating with business and technical sponsors, engineers, UI/UX designers, third-party vendors, users, and other higher education institutions in Texas. Facilitate collaborations among campus stakeholders to develop standards, guidance, policies, and research on the design and application of generative AI for educational purposes.
- Faculty Training and Support: Create resources and training materials to assist stakeholders in adopting and utilizing generative AI tools, including the university's AI Tutor and other initiatives. Conduct workshops and training sessions for faculty, instructional staff, and other stakeholders. Provide ongoing assistance to faculty and stakeholders in the development and deployment of generative AI-based academic technologies.
- Research and Innovation: Stay informed about advancements in generative AI, education, instructional design, and related fields. Investigate and develop new AI applications and resources for academic use. Contribute to research on the effectiveness and impact of AI-driven instructional tools.
- Assessment and Evaluation: Create a framework for assessing project and initiative outcomes. Analyze data, prepare reports for stakeholders, and provide recommendations for improvements.
- People and Initiatives Lead: Supervise OAT student employees. Lead additional strategic academic technology initiatives as assigned.
Bachelor's degree in education, curriculum design, instructional design, instructional technology, computer science, or a related field. A minimum of 2 years of experience with AI tools in education, custom GPTs, GPT tutors, or instructional design. Proven understanding of Learning Management Systems (LMS) and experience integrating educational technology tools into academic environments. Strong communication skills and the ability to collaborate with diverse stakeholders. Excellent organizational skills and attention to detail. Proven ability to learn from experience, respond to leadership, troubleshoot, solve problems, mitigate risks, and make timely decisions. Capability to work effectively in a dynamic environment with competing priorities. High tolerance for ambiguity and the ability to work independently as well as part of a team.
Relevant education and experience may be substituted as appropriate.
Preferred QualificationsMaster's degree in education, curriculum design, instructional design, instructional technology, computer science, or a related field. Experience implementing custom GPTs/GPT tutors in higher education. More extensive experience with AI tools and instructional design than required. Experience in a university academic setting.
Salary Range$80,000 + depending on qualifications
Working Conditions- Work performed in a standard office environment.
- Repetitive use of keyboard at a workstation.
- Resume/CV
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
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Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
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Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position.
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Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
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Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify: The University of Texas at Austin uses E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is For more information about E-Verify, please see the following:
- E-Verify Poster (English) [PDF]
- E-Verify Poster (Spanish) [PDF]
- Right To Work Poster (English) [PDF]
- Right To Work Poster (Spanish) [PDF]
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Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified as a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees to be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas.
