Distinguished Lecturer ? Data and Society ? Macaulay Honors College

Macaulay Honors College was established in 2001 as a consortial college linked with eight CUNY partners-Baruch College, Brooklyn College, City College of New York, College of Staten Island, Hunter College, John Jay College of Criminal Justice, Lehman College, and Queens College-to integrate the vast resources of the City University with New York?s cultural, scientific, and business communities. As a top Honors college in the nation, Macaulay offers a first-rate experiential education to high achieving students-especially those who are first generation and low income-along with access to the immersive opportunities that help them achieve big, bold dreams. Macaulay Honors College invites applications for a Distinguished Lecturer of Data and Society with expertise in data analysis, visualization, storytelling, AI and its impact, and issues surrounding data and its civic and social impact. The College?s Data and Society Initiative is designed to equip Macaulay students, especially non-STEM majors, with crucial skills necessary to analyze and make meaning from data in an ethical manner in a time of rapidly evolving technology, empowering them to address complex challenges in the communities they serve. Macaulay students reflect the rich diversity of our city, state, and country and are poised to become leaders across multiple sectors. The Data and Society Initiative helps cultivate a new generation of changemakers, prepared for AI-infused civic and employment landscapes, who harness data-driven insights to drive meaningful impact. The Distinguished Lecturer in Data and Society is central to the success of this initiative. Reporting to Macaulay?s Senior Associate Dean for Academic Affairs an Chief Academic Officer, the successful candidate will lead the College?s data-related curricular and co-curricular learning experiences. This faculty member will teach a foundational course, open to all students regardless of academic background, on data-driven problem solving, AI, and ethical data-science practices. This Distinguished Lecturer will also be responsible for cultivating related co-curricular engaged-learning components of the initiative, including skill-building intensives, data clinics and case studies with external partners, and an annual datathon. The successful candidate will also develop innovative honors curricula in partnership with current Distinguished Lecturers and Academic Affairs staff to support the development of key data literacy skills across the curriculum, including in the Core Macaulay Honors City seminars. The Distinguished Lecturer in Data Society will also have the opportunity to teach Core seminar sections at Macaulay Central and partner campuses, as well as lead research opportunities for Honors students. This position is expected to begin in Fall 2027. The Distinguished Lecturer will perform the following duties: Teach 4-6 courses each academic year, depending upon research, service, and co-curricular learning activities. Develop and teach courses for honors students in data literacy, data storytelling, artificial intelligence, data ethics, and social impact. Develop co-curricular engaged-learning experiences supporting the Data and Society initiative. Work closely with the Director of Science Forward, the Director of Academic Affairs, and other Academic Affairs staff to develop and maintain a comprehensive approach to data-skills and AI education for CUNY honors. Cultivate relationships with external partners for career exploration, data clinics, case studies, skills workshops, research opportunities, and to maintain curricular relevance. This position requires the incumbent to work in-person. QUALIFICATIONS Bachelor's degree and a record of achievement in a profession or field of expertise related to teaching assignments. Also required is the ability to cooperate with others for the good of the institution. Preferred Qualifications: Advanced degree in a relevant field or discipline. Experience teaching data skills, including data visualization and data storytelling, at the honors or graduate level. Experience in the public or private sector as a practitioner with data- or AI-related professions. Demonstrated record of teaching excellence and academic program advancement (e.g., curriculum development, interdisciplinary collaborations, conference planning, and program outreach), ideally at the honors or graduate level. COMPENSATION $95,094 - $98,849. Salary is commensurate with academic accomplishments and experience. CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. HOW TO APPLY Please click on "Apply Now" which will bring you to the registration screen. If you are a new user, you must register to apply. If you already have a user ID, please use your existing ID to apply. Please submit the following as a single PDF document: Cover letter Resume/Curriculum Vitae Only applications submitted through CUNYfirst will be considered for this position. CLOSING DATE Open until filled with a review of applications to begin on November 2, 2026. JOB SEARCH CATEGORY CUNY Job Posting: Faculty EQUAL EMPLOYMENT OPPORTUNITY CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer. Job ID: 32754 Location: Graduate Center Job Type: Full-Time