Professional in Residence - Data Analytics

Professional in Residence
- Data Analytics

Salary: Depends on Qualifications

Job Type: FT Faculty

Job Number: FY2706534

Closing: 9/9/2026 11:59 PM Mountain

Location: Main Campus
- Orem

Division: VP Academic Affairs

Join the Woodbury School of Business as a Professional in Residencein Data Analytics and help prepare the next generation of businessprofessionals for success in a rapidly evolving, data-driveneconomy! This role offers the opportunity to combine industry expertise with teaching, allowing you to make a meaningful impacton students while staying connected to current business practices and emerging technologies. As a key link between academia and industry, you will help shape curriculum relevance, supportexperiential learning opportunities, and guide students as they develop the analytical, technical, and professional skills soughtby today's employers.

If you are passionate about applyingreal-world experience in the classroom, mentoring futureprofessionals, and contributing to a collaborative academic environment focused on student achievement and workforce readiness,this position offers a rewarding and influential career opportunity.

• Designs, prepares, and delivers undergraduate and graduate courses in Data Analytics using engaging, applied instructionalmethods across face-to-face, hybrid, livestream, andonlinemodalities. Integrates data visualization, statistical analysis,AI-enabled analytics tools, and modern business intelligence platforms into instruction. Evaluates student learning using appropriate assessments and provides timely, constructive feedbackwhile fostering an inclusive, student centered learning environment.
• Serves as a liaison between the WSB and industry partners toensure curriculum reflects current workforce expectations. Developsemployer-sponsored projects, guest lectures, case competitions,internships, and experiential learning opportunities. Maintainsactive engagement in the analytics profession through consulting,professional organizations, certifications, conferences, or othercontinuing professional development activities. Promotes industrypartnerships that enhance student success and programvisibility.
• Develops measurable learning outcomes, instructional materials,cases, labs, and experiential learning projects that reflect current industry practices. Continuously improves curriculum toalign with evolving technologies and employer needs. Maintains regular office hours and advises and mentors students in academic progress, professional development, internships, industrycertifications, and career readiness, supporting student successfrom the classroom to the workforce.
• Participates in departmental, school, and university committee sand initiatives. Contributes to curriculum assessment, continuous improvement, accreditation activities, program development,recruitment, and student engagement efforts. Collaborates with faculty to assess learning outcomes and improve instructionaleffectiveness. Performs other related duties as assigned. Design sand administers assessments aligned to course outcomes using clearcriteria/rubrics; provides timely feedback. Holds regular officehours. Advises and mentors students on career paths, skill development, professional preparation, and job-search strategies.

• Master's degree from an accredited institution in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Operations Research, or a closely related field; or a master's degree in a related business disciplinecombined with substantial professional experience in dataanalytics.
• Minimum of 10 years of progressively responsible professional experience in data analytics, business intelligence, data science,analytics consulting, decision support, or a closely related field.
• Demonstrated expertise in contemporary analytics tools and technologies commonly used in industry.
• Evidence of maintaining professional currency through industrypractice, consulting, professional certifications, continuing education, or leadership in the analytics profession.
• Demonstrated expertise in data analytics with…