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The differences between data product managers and product engineering 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 product engineering manager takes usually requires More than 10 years. Additionally, a product engineering manager has an average salary of $125,592, which is higher than the $117,599 average annual salary of a data product manager.
The top three skills for a data product manager include product management, BI and QA. The most important skills for a product engineering manager are project management, product management, and product engineering.
| Data Product Manager | Product Engineering Manager | |
| Yearly salary | $117,599 | $125,592 |
| Hourly rate | $56.54 | $60.38 |
| Growth rate | 10% | 2% |
| Number of jobs | 189,532 | 148,619 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 72% | Bachelor's Degree, 70% |
| Average age | 39 | 48 |
| Years of experience | 10 | - |
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.
A product engineering manager is primarily in charge of overseeing the development of products and procedures, ensuring efficiency and smooth workflow. In a manufacturing setting, their responsibilities include setting objectives, managing the budgets and schedules, coordinating engineers and specialists, implementing solutions in vulnerable areas, and developing strategies to optimize procedures. They must also monitor the progress of processes, resolving any issues promptly and efficiently. Furthermore, as a product engineering manager, it is essential to lead and encourage the workforce to reach goals, all while implementing the company's policies and regulations.
Data product managers and product engineering managers have different pay scales, as shown below.
| Data Product Manager | Product Engineering Manager | |
| Average salary | $117,599 | $125,592 |
| Salary range | Between $87,000 And $158,000 | Between $90,000 And $174,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Credit Karma | Airbnb |
| Best paying industry | Start-up | Technology |
There are a few differences between a data product manager and a product engineering manager in terms of educational background:
| Data Product Manager | Product Engineering Manager | |
| Most common degree | Bachelor's Degree, 72% | Bachelor's Degree, 70% |
| Most common major | Business | Mechanical Engineering |
| Most common college | University of Georgia | University of Michigan - Ann Arbor |
Here are the differences between data product managers' and product engineering managers' demographics:
| Data Product Manager | Product Engineering Manager | |
| Average age | 39 | 48 |
| Gender ratio | Male, 64.2% Female, 35.8% | Male, 91.7% Female, 8.3% |
| Race ratio | Black 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, 2.9% Unknown, 4.6% Hispanic or Latino, 8.3% Asian, 14.8% White, 69.3% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 10% | 9% |