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Enterprise integration manager vs data manager

The differences between enterprise integration managers and data managers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 6-8 years to become both an enterprise integration manager and a data manager. Additionally, an enterprise integration manager has an average salary of $127,462, which is higher than the $108,359 average annual salary of a data manager.

The top three skills for an enterprise integration manager include API, ETL and enterprise application integration. The most important skills for a data manager are data analysis, visualization, and data quality.

Enterprise integration manager vs data manager overview

Enterprise Integration ManagerData Manager
Yearly salary$127,462$108,359
Hourly rate$61.28$52.10
Growth rate16%16%
Number of jobs46,395147,574
Job satisfaction--
Most common degreeBachelor's Degree, 73%Bachelor's Degree, 62%
Average age4747
Years of experience88

Enterprise integration manager vs data manager salary

Enterprise integration managers and data managers have different pay scales, as shown below.

Enterprise Integration ManagerData Manager
Average salary$127,462$108,359
Salary rangeBetween $99,000 And $162,000Between $73,000 And $160,000
Highest paying City-San Francisco, CA
Highest paying state-California
Best paying company-Meta
Best paying industry--

Differences between enterprise integration manager and data manager education

There are a few differences between an enterprise integration manager and a data manager in terms of educational background:

Enterprise Integration ManagerData Manager
Most common degreeBachelor's Degree, 73%Bachelor's Degree, 62%
Most common majorComputer ScienceBusiness
Most common collegeCarnegie Mellon UniversityCarnegie Mellon University

Enterprise integration manager vs data manager demographics

Here are the differences between enterprise integration managers' and data managers' demographics:

Enterprise Integration ManagerData Manager
Average age4747
Gender ratioMale, 80.8% Female, 19.2%Male, 48.0% Female, 52.0%
Race ratioBlack or African American, 5.7% Unknown, 5.1% Hispanic or Latino, 8.5% Asian, 20.1% White, 60.5% American Indian and Alaska Native, 0.2%Black or African American, 6.6% Unknown, 5.2% Hispanic or Latino, 9.9% Asian, 12.7% White, 65.5% American Indian and Alaska Native, 0.2%
LGBT Percentage11%11%

Differences between enterprise integration manager and data manager duties and responsibilities

Enterprise integration manager example responsibilities.

  • Create, manage and distribute project plans, meeting agendas, risks, and action items on a SharePoint site.
  • Used Microsoft SharePoint to manage company's distribution of documentation and write guides about its functionality.
  • Manage application solution architecture and ensure utilization of environment configuration management processes.
  • Architect ETL job statistic reporting which allows historical trending of job run times, abends and executions with warnings.
  • Bottom line accountability for driving revenue through increasing billable hours, as well as meeting SLA agreements and maximizing resources.
  • Develop integration and API systems design for order and warehouse management, and merchandising, finance, selling, and fulfillment.
  • Show more

Data manager example responsibilities.

  • Manage all Salesforce customer tech support inquiries.
  • Use of SalesForce and CRM for leads tracking.
  • Manage internal department & team initiatives including QA and documentation work.
  • Manage the profiling and cleansing of legacy data to new data structures.
  • Manage and lead scrum meetings for both reporting and commissioning development teams.
  • Manage CRO trials from selection, statement of work, through database lock.
  • Show more

Enterprise integration manager vs data manager skills

Common enterprise integration manager skills
  • API, 11%
  • ETL, 9%
  • Enterprise Application Integration, 8%
  • Application Development, 7%
  • Data Integration, 6%
  • Business Process, 6%
Common data manager skills
  • Data Analysis, 7%
  • Visualization, 6%
  • Data Quality, 6%
  • Data Collection, 4%
  • Project Management, 4%
  • Patients, 4%

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