Sport Management Adjunct: Analytics & Strategy

Rider-University

Lawrenceville (NJ)

Hybrid

USD 3,600 - 4,800

Part time

14 days+
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Job summary

Rider University’s Department of Marketing & Management seeks an adjunct instructor of Sport Management for the Spring 2027 term. Courses include Introduction to the Business of Sports, Contemporary Issues in Sport Management, Economics of Sports, Business of Global Sport, and Sports Analytics, with in-person or hybrid delivery on campus.

The instructor for Sports Analytics will teach on Tuesday evenings 6:30-9:30pm in hybrid format, with some online sessions.

Qualifications

  • Master’s degree or higher in Sport Management or closely related field.
  • Experience teaching at the college level.
  • Strong knowledge of sport management principles and contemporary issues.
  • Commitment to student success in academic achievement and career development.
  • Excellent communication and interpersonal skills.
  • Background and/or DMV checks required.
  • Professional experience in sport management or related field.
  • Experience applying sports analytics concepts in organizations.

Responsibilities

  • Teach Sport Management courses (e.g., Introduction to the Business of Sports, Contemporary Issues in Sport Management).
  • Deliver Sports Analytics course with hybrid/in-person sessions.
  • Support student success and career development through mentorship and feedback.

Skills

Teaching experience
Communication skills
Interpersonal skills
Student development focus
Background checks

Education

Master’s degree in Sport Management or related field
Equivalent professional experience in sport management

Job description

Rider University’s Department of Marketing & Management seeks an adjunct instructor of Sport Management for the Spring 2027 term. Courses include Introduction to the Business of Sports, Contemporary Issues in Sport Management, Economics of Sports, Business of Global Sport, and Sports Analytics, with in-person or hybrid delivery on campus.

The instructor for Sports Analytics will teach on Tuesday evenings 6:30-9:30pm in hybrid format, with some online sessions.

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