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Data product manager vs data manager

The differences between data product managers and data managers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 8-10 years to become a data product manager, becoming a data manager takes usually requires 6-8 years. Additionally, a data product manager has an average salary of $117,599, which is higher than the $108,359 average annual salary of a data manager.

The top three skills for a data product manager include product management, BI and QA. The most important skills for a data manager are data analysis, visualization, and data quality.

Data product manager vs data manager overview

Data Product ManagerData Manager
Yearly salary$117,599$108,359
Hourly rate$56.54$52.10
Growth rate10%16%
Number of jobs189,532147,574
Job satisfaction--
Most common degreeBachelor's Degree, 72%Bachelor's Degree, 62%
Average age3947
Years of experience108

What does a data product manager do?

A data product manager is responsible for supervising the data flow within the product management process, ensuring that the data address the product's features and functionality. Data product managers analyze data statistics by conducting surveys and reviewing reports, adjusting business plans according to the results. They also coordinate with the clients to inform them of progress updates and assist with their additional requirements and requests. A data product manager must have excellent communication and organizational skills, especially in performing quality control procedures before releasing final product outputs.

What does a data manager do?

A data manager is responsible for monitoring the efficiency of the company's technology systems and network infrastructures. Data managers ensure the safety and security of the databases to avoid unauthorized access that may pose risks for business operations. They assist the technology team in developing data management protocols and smooth navigation of the network systems. A data manager must have excellent knowledge of the technology industry, as well as having a strong command on system codes and programming languages, to immediately identify inconsistencies, and perform troubleshooting to fix these discrepancies.

Data product manager vs data manager salary

Data product managers and data managers have different pay scales, as shown below.

Data Product ManagerData Manager
Average salary$117,599$108,359
Salary rangeBetween $87,000 And $158,000Between $73,000 And $160,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyCredit KarmaMeta
Best paying industryStart-up-

Differences between data product manager and data manager education

There are a few differences between a data product manager and a data manager in terms of educational background:

Data Product ManagerData Manager
Most common degreeBachelor's Degree, 72%Bachelor's Degree, 62%
Most common majorBusinessBusiness
Most common collegeUniversity of GeorgiaCarnegie Mellon University

Data product manager vs data manager demographics

Here are the differences between data product managers' and data managers' demographics:

Data Product ManagerData Manager
Average age3947
Gender ratioMale, 64.2% Female, 35.8%Male, 48.0% Female, 52.0%
Race ratioBlack or African American, 3.0% Unknown, 5.3% Hispanic or Latino, 8.7% Asian, 8.2% White, 74.6% 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 Percentage10%11%

Differences between data product manager and data manager duties and responsibilities

Data product manager example responsibilities.

  • Manage translation and QA testing of data warehouse software.
  • Align with customer need for market fundamentals, GIS layers, and infrastructure asset trackers by managing portfolio of custom datasets.
  • Manage horizontal UX prototyping resource needs, implementing effective collaborative expectations and cross-product timeline allocation strategies.
  • Contribute to and attend scrum activities (stand-ups, poker planning, sprint planning, sprint review, retrospective).
  • Utilize SQL to support data-driven analysis and decision processes to inform project prioritization, assess feature effectiveness, and troubleshoot issues.
  • Manage horizontal UX prototyping resource needs, implementing effective collaborative expectations and cross-product timeline allocation strategies.

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

Data product manager vs data manager skills

Common data product manager skills
  • Product Management, 14%
  • BI, 12%
  • QA, 9%
  • Regression, 9%
  • Product Roadmap, 6%
  • Project Management, 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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