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
Position Announcement
Join the Woodbury School of Business as a Professional in Residence
in Data Analytics and help prepare the next generation of business
professionals for success in a rapidly evolving, data-driven
economy! This role offers the opportunity to combine industry
expertise with teaching, allowing you to make a meaningful impact
on 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, support
experiential learning opportunities, and guide students as they
develop the analytical, technical, and professional skills sought
by today's employers. If you are passionate about applying
real-world experience in the classroom, mentoring future
professionals, and contributing to a collaborative academic
environment focused on student achievement and workforce readiness,
this position offers a rewarding and influential career
opportunity.
Summary of Responsibilities
Designs, prepares, and delivers undergraduate and graduate courses in Data Analytics using engaging, applied instructional methods across face-to-face, hybrid, livestream, and online modalities. 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 feedback while fostering an inclusive, student centered learning…
environment.
Serves as a liaison between the WSB and industry partners to
ensure curriculum reflects current workforce expectations. Develops
employer-sponsored projects, guest lectures, case competitions,
internships, and experiential learning opportunities. Maintains
active engagement in the analytics profession through consulting,
professional organizations, certifications, conferences, or other
continuing professional development activities. Promotes industry
partnerships that enhance student success and program
visibility.
Develops measurable learning outcomes, instructional materials,
cases, labs, and experiential learning projects that reflect
current industry practices. Continuously improves curriculum to
align with evolving technologies and employer needs. Maintains
regular office hours and advises and mentors students in academic
progress, professional development, internships, industry
certifications, and career readiness, supporting student success
from the classroom to the workforce.
Participates in departmental, school, and university committees
and 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 instructional
effectiveness. Performs other related duties as assigned. Designs
and administers assessments aligned to course outcomes using clear
criteria/rubrics; provides timely feedback. Holds regular office
hours. Advises and mentors students on career paths, skill
development, professional preparation, and job-search
strategies.
Qualifications / Licenses / Certifications
- 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 discipline
combined with substantial professional experience in data
analytics.
- 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 industry
practice, consulting, professional certifications, continuing
education, or leadership in the analytics profession.
- Demonstrated expertise in data analytics with experience
applying analytical methods to support business decision-making,
organizational effectiveness, and emerging technologies.
Familiarity with business strategy, artificial intelligence,
operations, or supply chain contexts is desirable, along with a
commitment to industry engagement and student success.
Preferred Qualifications
- Experience teaching in higher education or delivering
professional training.
- Professional certifications such as Microsoft Power BI Data
Analyst Associate, Tableau Certified Professional, AWS Data
Analytics, Google Professional Data Analytics, Azure Data Engineer,
Databricks, SAS, Snowflake, or similar industry-recognized
credentials.
- Experience developing employer-sponsored projects, internships,
or experiential learning opportunities.
- Strong connections with Utah or regional employers in
analytics, technology, finance, healthcare, manufacturing, or
related industries.
- Demonstrated leadership in applied analytics projects,
consulting, or professional organizations.
- Evidence of thought leadership through conference
presentations, industry publications, white papers, or invited
professional presentations.
- Knowledge of Canvas a plus, but not required.
Knowledge / Skills / Abilities
Knowledge
- Subject-matter knowledge of data analytics and current industry
practices, tools, regulatory frameworks, and emerging
trends.
- Effective instructional strategies and current trends in higher
education.
- Student engagement, classroom management, and learning
evaluation.
- Curriculum development, measurable outcomes, and assessment
alignment.
Skills
- Proficiency with analytics and visualization tools such as
Python, R, SQL, Tableau, Power BI, Excel, and related
technologies.
- Ability to teach and integrate AI-enabled analytics tools
responsibly into coursework.
- Strong classroom instruction, communication, presentation, and
facilitation skills.
- Experience designing applied projects, case studies, and
authentic assessments.
- Strong interpersonal skills with the ability to build
relationships with students, faculty, alumni, and industry
partners.
- Effective mentoring and career coaching for students pursuing
analytics-related careers.
Abilities
- Teach effectively in face-to-face, hybrid, livestream, and
online environments.
- Translate complex analytical concepts into practical business
applications.
- Evaluate student learning using fair, consistent, and
outcomes-based assessment methods.
- Collaborate effectively with faculty, staff, and external
stakeholders.
- Maintain professional currency in a rapidly evolving analytics
discipline.
- Foster an inclusive, engaging, and student-centered learning
environment
EEO Statement:
UVU employment decisions are made on the basis of an applicant's
qualifications and ability to perform the job without regard to
race, color, religion, national origin, sex, sexual orientation,
gender identity, gender expression, age (40 and over), disability,
veteran status, pregnancy, childbirth, or pregnancy-related
conditions, genetic information, or other bases protected by
applicable federal, state, or local law.
To apply, please visit https://www.schooljobs.com/careers/uvu/jobs/5465928/professional-in-residence-data-analytics
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