ASSOCIATE DIRECTOR / CAREER DEVELOPMENT
- Mount Pleasant, MI, United States
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Job details
- Posting language
- English
- Posted
Original job description
ASSOCIATE DIRECTOR / CAREER DEVELOPMENT Position Number: S-4022 Position Summary: Along with Director, develops goals and objectives for Career Development Center (CDC) staff and programs. Responsible for research, development, direction and implementation of a university wide career development model. Provides planning for career development, including internal and external initiatives and programs. Manages multifaceted relationships with staff, faculty, alumni, students and colleges. Provides supervision of three (4) Assistant Directors of Career Development and in the absence of the Director, serves as the point person for overall Career Services matters with the Associate Director of Employer Relations. Required Qualifications: Bachelor's degree from an accredited institution or equivalent with emphasis in career development, career counseling, higher education, psychology or related fields. Five years of related professional experience. Demonstrated success in relationship building with staff, faculty, students, parents and colleagues. Proven leadership and supervisory skills in a professional environment. Demonstrated skills in a focused educational and service approach to productive career development, including the ability to provide career coaching and programming to currently enrolled students and alumni, individually and in groups. Knowledge of career theory and practice including career exploration and assessment, National Association for Career Education (NACE) Career Readiness competences, informational interviewing, applied learning/internships, resume and cover letter writing, job interviewing, job search strategies, and preparing for graduate or professional school. Ability to infuse skill/competency development in programs and services to increase the career readiness of our students and alumni. Strong collaboration/team, organizational, program development, interpersonal and presentation skills. In-depth understanding and application of best practices in collegiate career development, workplace trends, impacts of technology and social media. Strong technical skills including experience with career management systems such as 12twenty, as well as Microsoft Office suite, graphic design programs, internet research, and career interest assessments. Excellent written and oral communication skills, including presentation skills appropriate for small and large audiences, including one-on-one career coaching, student classrooms, faculty groups, professional associations, community organizations and the general public. Skills in strategic planning and data analysis, supporting an ability to make complex, independent decisions and programmatic recommendations. Ability to travel and work non-standard hours, including some nights and weekends. Preferred Qualifications: Master's Degree Certified in MBTI and SII Assessment Ability to interpret Focus 2 assessment Knowledge and understanding of the Brain-Based Career Development Model Knowledge and understanding of the Career Ecosystem Model Duties & Responsibilities: Develops goals and objectives for CDC staff and programs, along with the Director. Responsible for research, development, direction and implementation of a university wide career development model. Aids students on-campus, online and alumni in the form of student appointments, presentations, workshops and various other ways. Manages multifaceted relationships with staff, faculty, alumni, students and colleges. Represents the CDC on University committees and special projects. Serves as an active member of Career Development Center leadership team. Provides supervision for Three (4) Assistant Directors of Career Development. Responsible for monitoring key metrics for Assistant Directors of Career Development. In the absence of the Director, serves as
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Skills
- Research
- Coaching
- Presentation skills
- Microsoft Office
- Graphic design
- Strategic planning
- Data analysis