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AI Initiatives Librarian - Librarian Asst. Professor/Librarian Assoc. Professor

University of Miami - School of Nursing and Health Studies317 open roles

Where
Coral Gables, FL
Work mode
On site
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Your applicationOpen nowAI Initiatives Librarian - Librarian Asst. Professor/Librarian Assoc. ProfessorUniversity of Miami - School of Nursing and Health Studies · Coral Gables, FL

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. University of Miami - School of Nursing and Health Studies postings stay open a median of 67 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted today

University of Miami - School of Nursing and Health Studies median: 67 days open

The posting

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.

PURPOSE & SCOPE

The AI Initiatives Librarian provides strategic leadership and cross-organizational coordination for the Libraries’ adoption, integration, assessment, and ethical stewardship of Artificial Intelligence technologies. In alignment with the Libraries’ mission, vision and, values and the Association of Research Libraries (ARL) Guiding Principles for Artificial Intelligence, this position builds institutional capacity for innovation across library services, internal workflows, and collections.

Reporting to the Associate Dean for Digital Strategies & Scholarly Communication, the AI Initiatives Librarian operates as a key collaborator, working across library units, including Learning & Research Services, Technical Services, Distinctive Collections, Research Data & Open Scholarship, Learning Research & Clinical Information Services, and Library IT to guide AI literacy, assess emerging tools, evaluate the effectiveness and user impact of AI-related services, and to facilitate strategic AI adoption. Campus partners may include the UMIT AI Team, Academic Technologies, the Writing Center, and the Platform for Excellence in Teaching & Learning (PETAL).

ESSENTIAL DUTIES & RESPONSIBILITIES

Strategic Leadership & Project Coordination

  • In collaboration with the Associate Dean for Digital Strategies & Scholarly Communication, library leadership, and key stakeholders, design and coordinate the implementation of a strategic roadmap for AI-based innovation across library operations and services.
  • Track, facilitate, and lead (when applicable) library-wide AI projects, establishing metrics and assessment measures to evaluate their impact on workflows and user engagement.
  • Identify opportunities to enhance library workflows or services with the use of AI technologies.
  • Evaluate emerging generative and agentic AI tools, natural language processing applications, and machine learning software to recommend adoption strategies.
  • Serve as a key representative on library and university committees, including the AI & Libraries Steering Group and the Libraries’-based UX Team.

Campus Engagement & AI Literacy

  • Coordinate and expand AI literacy programming for students, faculty, and staff in partnership with domain specialists across the Libraries.
  • Lead internal workforce AI readiness initiatives among library staff and faculty.
  • Provide specialized consultations for campus researchers and students using AI tools for literature reviews, data analysis, and research workflows.
  • Contribute support to interdisciplinary research teams through the Libraries’ Research Sprints program.
  • Partner with campus entities such as Academic Technologies, the Writing Center, UMIT AI Team, and the Platform for Excellence in Teaching & Learning (PETAL) on AI-based initiatives and programming.

Ethical Stewardship, Guidance & Service

  • Serve as a resource on the ethical, intellectual property, data privacy, and accessibility implications of AI as they relate to research libraries and higher education.
  • Maintain active awareness of trends in academic libraries, scholarly communication, and data-intensive research.
  • Contribute to professional organizations, scholarship, and service aligned with library and institutional expectations.

QUALIFICATIONS

Required:

  • An ALA-accredited MLS or MLIS, or an advanced degree in data science, computer science, or a related data-intensive discipline.
  • Minimum of 3 years of professional experience in an academic research library, higher education setting, or research organization.
  • Demonstrated experience applying or evaluating machine learning or generative AI tools within a research or educational context.
  • Familiarity with scripting languages (e.g., Python, R) and APIs used in data retrieval, analysis, or system integration.
  • Demonstrated experience leading technology initiatives and building collaborative cross-departmental partnerships without direct supervisory authority.
  • Proven ability to design, deliver, and assess engaging instructional programs for diverse audiences with varying technical backgrounds.
  • Strong understanding of ethical, privacy, copyright, and accessibility issues surrounding AI.
  • Excellent oral, written, and interpersonal communication skills.
  • Demonstrated ability to work independently or as part of a team.

Highly Desirable:

  • Experience developing institutional strategic plans or technology roadmaps.
  • Familiarity with qualitative and quantitative assessment methods and associated tools used in research libraries to evaluate the user impact, effectiveness, and workflow integration of emerging technologies and services.
  • Demonstrated familiarity with the roles, services, and technologies that comprise a 21st-century research library.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

Job Status:

Full time

Employee Type:

Faculty

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