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Minneapolis

5 Star University

"Data Analytics Program Lead"

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Data Analytics Program Lead

The Data Analytics Program Lead is a temporary, part-time, non-tenured position for our Professional Development and Lifelong Learning Programs. The Program Lead is responsible for aligning the program with the skill needs in the program’s industry or occupation. This will include participating in interviews with other industry experts, recommending program-level curriculum (i.e. program name, program description, program outcomes, outcomes for the courses that comprise the program), participating in course development and instructor search committees, advising course developers and instructors, assessing the viability of potential industry collaborators, assisting in third party vendor vetting, and recommending program and course revisions.

The Data Analytics Program Lead will support 2-4 certificate programs in the field of Data Analytics. Each certificate program will consist of 2-4 courses. Each course will be 4-8 weeks in length and include 4-5 hours of asynchronous learning per week and a 60-90 minute Zoom session each week. In general, information will be delivered using asynchronous media (e.g. recorded video) and synchronous sessions will be used for interactive conversation and activities that invite learners to engage and apply information. Learners will be assessed using authentic assessments that simulate real-world application of skills.

The Program Lead will be initially appointed for a 4-month period during the design phase of the program. That initial appointment may be extended into a development phase and an ongoing annual appointment. During the design phase of the programs (4 months), this will be a .2 FTE appointment.

In CCAPS you’ll find a flexible, hybrid work environment and supportive colleagues who are committed to empowering lifelong learners to achieve their educational goals in a learner-centric environment where diverse ideas, backgrounds, and identities are embraced.

CCAPS has a large and diverse portfolio of program offerings, including bachelor’s and master’s degrees, professional development offerings for practitioners, pre-college programs for high school students, English language programs, and lifelong learning for personal enrichment. Across all the work done in and by CCAPS, we strive daily to live our core values of Access, Learning, Inclusivity, Collaboration, and Excellence.

MAJOR RESPONSIBILITIES

Design and Revise Program Curriculum 70%

  1. Create and update program description.
  2. Create and update clear, succinct, and measurable program outcomes.
  3. Create and update a list of required and/or elective courses in the program.
  4. Write course descriptions and outcomes so the courses are aligned with the program outcomes.
  5. Annually review and revise the program-level curriculum, including: program description, program outcomes, the list of required and/or elective courses in the program, course names, course descriptions, and course outcomes.
  6. Annually review each course in the program and collaborate with instructors to make changes based on learner feedback, instructor feedback, and industry changes.
  7. Follow the requirements laid out in the course development handbook.

Advise Course SMEs and Instructors 30%

  1. Collaborate with course SMEs and instructors to programmatically align courses.
  2. Participate in course SME and instructor searches as appropriate.

Required Qualifications

  • Bachelor's degree.
  • Four years of work experience related to data analytics.
  • A demonstrated commitment, knowledge, and skills to promote and enhance a climate that is supportive of diversity, equity, and inclusion.
  • Deep knowledge of data analytics.
  • Ability to explain concepts in ways that help others learn.
  • Ability to provide feedback that both encourages and helps learners develop knowledge, skills, and abilities.
  • Strong verbal and written communication skills.

Preferred Qualifications

  • Master's degree and at least six or more years of work experience related to the subject matter.
  • Knowledge of curriculum design and adult learning principles.
  • Ability to evaluate assessments (e.g. course projects) to determine if they demonstrate achievement of course learning outcomes.
  • Experience teaching adult learners in both live and asynchronous contexts.
  • Experience developing and/or teaching topics related to Data Analytics.
  • Experience developing or revising adult education programs (credit or noncredit).
10

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