데이터 융합인재 직무모형 개발 연구A Research on Job Model Development for Data Convergent Talent
- Authors
- 엄혜미; 유윤형
- Issue Date
- Mar-2024
- Publisher
- 한국정보시스템학회
- Keywords
- Data Convergent Talent; Job Analysis; Job Competency; Job Model; NCS; National Competency Standards
- Citation
- 정보시스템연구, v.33, no.1, pp 207 - 226
- Pages
- 20
- Journal Title
- 정보시스템연구
- Volume
- 33
- Number
- 1
- Start Page
- 207
- End Page
- 226
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/73339
- DOI
- 10.5859/KAIS.2024.33.1.207
- ISSN
- 1229-8476
2733-8770
- Abstract
- Purpose This study aims to develop a job model for data convergent talents to meet the rapidly changing demands of the data industry. To create a job model, we first define and categorize data convergent talents with balanced competencies in data technology and domain knowledge, and then develop a job model by investigating job areas, scope, activities, and competencies.
Design/methodology/approach The research is conducted using the following procedures and methodology. First, we conduct a current status survey on data talent demand, data talent policies, data talent programs, and curricula at home and abroad; second, we collect opinions on the jobs and competencies required for data convergent talents and curricula for talent development through in-depth interview with experts; and third, we present the job areas and job activities of data convergent talents derived from the previous status survey and expert opinions based on the National Competency Standards(NCS).
Findings The research findings indicate that there are total of six job roles for data convergent talents, including data scientist, data planner, data architect, data developer, data engineer, and data analyst. It was observed that each of these roles requires the development of common competencies within their respective fields, followed by a need for further specialization into specific competencies within each professional domain.
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Collections - College of Business & Economics > School of Global Knowledge-based Administration > 1. Journal Articles
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