When establishing or expanding a data administration/data management department, it is frequently necessary to develop a series of job descriptions for the various levels of data analysis.
Following is a representation of a basic set of job descriptions for a typical data administration unit.
Manager/administrator:
methodology, tools, using creativity and originality in evaluations. Demonstrated ability to recommend changes to modeling and data analysis practices, with implementation where appropriate.
Competent to work at the highest levels of all phases of logical modeling and design. Review models designed by data administration staff, relating the activities of other modeling efforts to the
model under review. Skilled in assessing and prioritizing new work for the data administration unit. Instruct lower level analysts and other interested persons in data administration and modeling
techniques. Plan, coordinate and manage multiple, often competing assignments and supervise lower level analysts, with very limited review of own actions. Responsible for recommending changes to
the strategic direction of data administration activities. Responsible for recommending changes that will assist in the integration and deployment of data administration throughout the enterprise.
years data analysis experience with some managerial experience. Experience with mission critical systems data modeling, analytic and consultative skills, project management training and experience.
Senior:
methods. Strong analysis skills, in both data content and modeling (relationships, meta data). May be required to review (or assist in the review) models designed by data administration staff,
relating the activities of other modeling efforts to the model under review. Assist in assignment planning and prioritizing, assist in data administration instruction as appropriate.
undergraduate degree and at least 5 years in data administration/data modeling. Some consultative skills and project management experience is preferred.
Junior:
skills, in data content and research, with some modeling skills for relationships and meta data.
Position requires an undergraduate degree with at least 2 years in data administration or a related IS discipline.
Trainee:
trained in logical modeling, methodology and tools. Solid analysis skills, in both data content and basic research.
Strong written and oral communication skills. Works well under supervision, with regular review of work, based on incumbent’s level of experience. Position requires an undergraduate degree
coupled with enthusiasm and willingness to learn and apply data management concepts and techniques. Armed with position descriptions and appropriate interview questions, it should be possible for the
hiring manager to evaluate and recommend qualified candidates who will be successful in data administration. Position descriptions should also be used in performance review process and staff
promotions.