Jobs · Minnesota

Data Analytics with AI Program Lead

University of Minnesota · Minneapolis, MN · 2 mo ago
Part-time

This is a temporary, part-time, non-tenured position for the Professional Development and Lifelong Learning Programs. The Program Lead is responsible for aligning the Data Analytics with AI non-credit certificate program with industry skill needs.

About the role

The Data Analytics with AI certificate program aims to empower professionals to leverage generative AI for data cleaning, pattern identification, and sophisticated visualizations. The program typically consists of 3 courses, each 6 weeks in length, with 4-5 hours of asynchronous learning per week and a 60-90 minute weekly Zoom session. Content is delivered asynchronously (e.g., recorded video), while synchronous sessions focus on interactive engagement and real-world skill application.

The Program Lead will initially be appointed for a 4-month design phase at 0.08 FTE, with compensation of $2,050. If the program is approved for development, the appointment may extend to an annual 0.03 FTE role with compensation of $2,520/year. Additional pay is available for course development and instruction if the program proceeds, with total development compensation for a 3-course certificate reaching $7,950 at current rates. Instructional pay for a 6-week course is $2,713 per section. FTE and compensation rates for future appointments are subject to change.

Responsibilities

  • Design and Maintain Program Curriculum (65%)
    • Create and update program description, outcomes, and required/elective courses
    • Write course descriptions and outcomes aligned with program goals
    • Annually review and revise program-level curriculum, including course names, descriptions, and outcomes
    • Collaborate with instructors to update courses based on learner feedback, instructor input, and industry changes
    • Follow the course development handbook requirements
  • Advise Course SMEs and Instructors (25%)
    • Collaborate with subject matter experts and instructors to ensure programmatic alignment
    • Participate in course SME and instructor searches as needed
  • Support Enrollment and Marketing Efforts (10%)
    • Assist with workforce development client solutions
    • Collaborate with the marketing team to create promotional videos and conduct interviews for articles

Requirements

Required Qualifications:

  • Bachelor’s degree
  • Four years of work experience related to the subject matter
  • Demonstrated commitment to creating an inclusive environment for diverse communities
  • Deep knowledge of the program subject matter
  • Ability to explain concepts clearly to facilitate learning
  • Strong verbal and written communication skills
  • Ability to provide constructive feedback that encourages skill development

Preferred Qualifications:

  • Master’s degree and six or more years of relevant work experience
  • Knowledge of curriculum design and adult learning principles
  • Experience teaching adult learners in live and asynchronous contexts
  • Experience developing or teaching topics related to data analytics and AI
  • Experience developing or revising adult education programs (credit or noncredit)
  • Experience with the subject matter across multiple organizations as a consultant or employee

About the department

The College of Continuing and Professional Studies (CCAPS) offers a flexible, hybrid work environment with a focus on empowering lifelong learners. The department’s diverse portfolio includes bachelor’s and master’s degrees, professional development programs, pre-college programs, English language courses, and personal enrichment opportunities. CCAPS values access, learning, inclusivity, collaboration, and excellence.

Pay

Compensation for the 4-month design phase is $2,050. If extended to an annual appointment, compensation is $2,520/year. Additional pay is available for course development ($7,950 total for a 3-course certificate) and instruction ($2,713 per 6-week course section). Retirement plan options are available for eligible classifications.

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