Chair, Faculty (AI & Machine Learning)

CHAIR, FACULTY is needed to perform the following duties:

• Cover all material defined in the course description and syllabus; meet course schedule expectations per the academic calendar
• Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
• Deliver course content using active and project-based learning methodologies; develop effective assessments measuring applied student learning
• Maintain LMS with updated syllabi, materials, and grades; provide timely feedback on assignments and projects
• Use mid- and end-of-quarter evaluations to continuously improve course delivery
• Attend faculty meetings; collaborate with faculty to improve student outcomes; hold minimum 1–2 hours of office hours per weekday.
• Design and develop courses including Data Science, Applied AI Tools in Business, Data Analytics and Visualization, Applied Python for Data Analysis, Data Engineering, and Cloud-Based AI Solutions
• Evaluate and adjust degree curriculum through annual program audits and biannual PAC feedback; serve on the curriculum committee
• Oversee course supervision; guide course development using project-based and active learning methodologies
• Assist Corporate Relations in evaluating Enterprise Projects; evaluate student Capstone project proposals for technical rigor
• Manage department budget; monitor overall student performance across the program
• Build mentor relationships with students individually and in groups; address student complaints and problems respectfully
• Identify areas for personal development; collaborate with faculty to continuously improve course offerings and student outcomes
• Provide critical feedback to instructors on teaching effectiveness; conduct peer observations and faculty mentoring
• Participate in evaluating and interviewing teaching candidates; contribute to committee membership and academic metrics reporting
• Demonstrate excellent written and verbal communication, conflict resolution, and ethical conduct

Bachelor's Degree is required in Computer Science or Computer Engineering or Engineering Management.

SCHEDULE:

• Exempt position
• 40 hours a week

• Occasional evenings and weekends, with advanced notice

REPORTS TO: Vice President, Academics

LOCATION: On-site

PHYSICAL EXPECTATIONS:

• Spending extended periods of time at the campus reception desk
• Sitting for extended periods
• Standing for extended periods
• Lift and carry up to 30 pounds

Neumont University is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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