"Emerging Technologies Librarian"

Manhattan University, seeks an innovative and collaborative Emerging Technologies Librarian to lead efforts in the O'Malley Library to design and implement resources, tools, and workflows that support effective and ethical AI use and integration in research and instruction. This is a full-time, administrative position reporting to the Director of Public Service. The Emerging Technologies Librarian will work closely with library colleagues and campus partners on projects and initiatives involving transformative technologies, ensuring the library stays at the forefront of emerging trends and innovations. This role blends traditional academic librarianship with expertise in AI tools, data literacy, and scholarly communication.

The Emerging Technologies Librarian will serve as the subject specialist for the departments of the O'Malley School of Business (Accounting, Business Analytics, CIS and Law; Economics and Finance; Management and Marketing). This position plays a key role in advancing student success, faculty research, and experiential learning through instruction, research consultation, and strategic collection development.

We encourage all interested applicants with a master's degree in library or information sciences to apply even if they do not meet all qualifications. To apply, please review the full position description, complete an application, and submit a cover letter and CV with names and contact information for three references in the Manhattan University portal.

Applications will be accepted until the position is filled. Priority will be given to applications received before April 15, 2026.

This is a full-time, in person on campus non-remote 12-month position.

Responsibilities

• Provide research, instructional, and consultation services related to AI tools, machine learning applications, and generative AI in academic contexts.
• Collaborate with faculty to integrate AI into teaching, learning, and research workflows.
• Advise on responsible use of AI in scholarship, citation practices, data management, and academic integrity.
• Partner with campus units (ITS, Center for Academic Success, etc.) to support institution-wide AI initiatives.
• Serve as the library liaison to business-related departments (e.g., management, finance, accounting, marketing, economics, entrepreneurship).
• Develop and maintain subject-specific research guides, provide course-related instruction and instructional materials.
• Support the use of business databases, company and industry research tools, and market data resources.
• Assist students with data discovery, analysis, and ethical use of business information.
• Participate in professional service, assessment, and ongoing program development within the library.

Required Qualifications

• Master's degree in library and information science (MLIS/MLS) from an ALA-accredited program (or equivalent).
• Demonstrated knowledge of or strong interest in artificial intelligence, machine learning, or generative AI in academic settings.
• Experience providing instruction, research support, or user-centered services in an academic or research library.
• Excellent communication, collaboration, and teaching skills.
• Commitment to equity, accessibility, and ethical information practices.
• Experience or coursework related to business research, economics, or data-intensive disciplines.
• Familiarity with business information sources such as company, industry, financial, and market research tools.

Preferred Qualifications

• Experience using or supporting AI tools for research, teaching, or scholarly communication.
• Background in data literacy, digital scholarship, or instructional technology.
• Familiarity with copyright, licensing, and intellectual property issues related to AI.
• Evidence of professional engagement or scholarly activity.
• Demonstrated experience supporting business disciplines in an academic setting.
• Knowledge of copyright, licensing, and data ethics in business research.
• Additional degree or coursework in a related field.