Department of the Army
Fort Knox, KY
Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
75th Percentile | $137,300 | $11,442 | $2,640 | $66 |
Average | $122,500 | $10,208 | $2,356 | $59 |
25th Percentile | $103,600 | $8,633 | $1,992 | $50 |
An entry-level Enterprise Data Management Manager with under 1 year experience makes about $116,000. With less than 2 years of experience, a mid-level Enterprise Data Management Manager makes around $119,393. After 2-4 years, the Enterprise Data Management Manager pay rises to about $122,660. Those senior Enterprise Data Management Manager with 5-8 years of experience earn roughly $125,963, and those Enterprise Data Management Manager having 8 years or more experience are expected to earn about $127,725 on average.
Entry Level | 5% |
Mid Level | 3% |
Senior Level | 0% |
Top Level | 3% |
Experienced | 4% |
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Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Customer Service: Customer service is the provision of service to customers before, during and after a purchase. The perception of success of such interactions is dependent on employees "who can adjust themselves to the personality of the guest". Customer service concerns the priority an organization assigns to customer service relative to components such as product innovation and pricing. In this sense, an organization that values good customer service may spend more money in training employees than the average organization or may proactively interview customers for feedback. From the point of view of an overall sales process engineering effort, customer service plays an important role in an organization's ability to generate income and revenue. From that perspective, customer service should be included as part of an overall approach to systematic improvement. One good customer service experience can change the entire perception a customer holds towards the organization.
Data Management: Data Management comprises all disciplines related to managing data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first cards, then tape) to random access storage. Since it was now possible to store a discreet fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems." However, during this period, random access processing was not competitively fast, so those suggesting "process management" was more important than "data management" used batch processing time as their primary argument. As software applications evolved into real-time, interactive usage, it became obvious that both management processes were important. If the data was not well defined, the data would be mis-used in applications. If the process wasn't well defined, it was impossible to meet user needs.
Accounting: Creating financial statements and reports based on the summary of financial and business transactions.
Skill | Salary | Demand |
---|---|---|
Data Architecture
|
$129,850 |
6%
|
Project Management
|
$128,625 |
5%
|
Data Quality
|
$128,625 |
5%
|
Insight
|
$127,400 |
4%
|
Leadership
|
$127,400 |
4%
|
Planning
|
$126,175 |
3%
|
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