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Delivery project executive vs data manager

The differences between delivery project executives 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 a delivery project executive and a data manager. Additionally, a delivery project executive has an average salary of $112,687, which is higher than the $108,359 average annual salary of a data manager.

The top three skills for a delivery project executive include project management, client facing and client satisfaction. The most important skills for a data manager are data analysis, visualization, and data quality.

Delivery project executive vs data manager overview

Delivery Project ExecutiveData Manager
Yearly salary$112,687$108,359
Hourly rate$54.18$52.10
Growth rate16%16%
Number of jobs123,701147,574
Job satisfaction--
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 62%
Average age4747
Years of experience88

Delivery project executive vs data manager salary

Delivery project executives and data managers have different pay scales, as shown below.

Delivery Project ExecutiveData Manager
Average salary$112,687$108,359
Salary rangeBetween $85,000 And $148,000Between $73,000 And $160,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyCapgeminiMeta
Best paying industryProfessional-

Differences between delivery project executive and data manager education

There are a few differences between a delivery project executive and a data manager in terms of educational background:

Delivery Project ExecutiveData Manager
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 62%
Most common majorBusinessBusiness
Most common collegeCarnegie Mellon UniversityCarnegie Mellon University

Delivery project executive vs data manager demographics

Here are the differences between delivery project executives' and data managers' demographics:

Delivery Project ExecutiveData Manager
Average age4747
Gender ratioMale, 78.8% Female, 21.2%Male, 48.0% Female, 52.0%
Race ratioBlack or African American, 6.5% Unknown, 5.2% Hispanic or Latino, 9.7% Asian, 13.7% White, 64.7% 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 delivery project executive and data manager duties and responsibilities

Delivery project executive example responsibilities.

  • Lead software development, process re-engineering and technical architecture implementations to advance project capabilities and overall performance.
  • Spearhead and drive to completion a large infrastructure project for backup and recovery eliminating antiquate tape technology.
  • Translate client's strategic plans into tactical operational initiates focusing on require infrastructure, business, and application projects.
  • Provide guidance, support, and value add recommendations to senior executives regarding financial implications to portfolio and staffing levels.
  • Increase flexibility and efficiency by leveraging PeopleSoft's ERP capabilities.
  • Transition several custom bolt-on applications for integration to a standard ERP solution.
  • 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

Delivery project executive vs data manager skills

Common delivery project executive skills
  • Project Management, 9%
  • Client Facing, 7%
  • Client Satisfaction, 7%
  • Continuous Improvement, 6%
  • Service Delivery, 5%
  • Infrastructure, 5%
Common data manager skills
  • Data Analysis, 7%
  • Visualization, 6%
  • Data Quality, 6%
  • Data Collection, 4%
  • Project Management, 4%
  • Patients, 4%

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