Data product manager vs senior product manager

The differences between data product managers and senior product managers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 8-10 years to become both a data product manager and a senior product manager. Additionally, a senior product manager has an average salary of $133,868, 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 senior product manager are product management, cloud, and product strategy.

Data product manager vs senior product manager overview

	Data Product Manager	Senior Product Manager
Yearly salary	$117,599	$133,868
Hourly rate	$56.54	$64.36
Growth rate	10%	10%
Number of jobs	189,532	119,025
Job satisfaction	-	4
Most common degree	Bachelor's Degree, 72%	Bachelor's Degree, 72%
Average age	39	39
Years of experience	10	10

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 senior product manager do?

A senior product manager oversees the workflow and workforce involved in product and service development, ensuring a high return for its investments. They are primarily responsible for assessing and providing recommendations, producing review and reference documents, and obtaining feedback from consumers and high-ranking company personnel. Furthermore, as a senior product manager, they must lead a group of product managers, motivating and supervising them in their joint effort to accomplish goals according to the company's standards and policies.

Data product manager vs senior product manager salary

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

	Data Product Manager	Senior Product Manager
Average salary	$117,599	$133,868
Salary range	Between $87,000 And $158,000	Between $98,000 And $182,000
Highest paying City	San Francisco, CA	San Francisco, CA
Highest paying state	California	California
Best paying company	Credit Karma	Roku
Best paying industry	Start-up	Start-up

Differences between data product manager and senior product manager education

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

	Data Product Manager	Senior Product Manager
Most common degree	Bachelor's Degree, 72%	Bachelor's Degree, 72%
Most common major	Business	Business
Most common college	University of Georgia	University of Georgia

Data product manager vs senior product manager demographics

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

	Data Product Manager	Senior Product Manager
Average age	39	39
Gender ratio	Male, 64.2% Female, 35.8%	Male, 68.5% Female, 31.5%
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, 3.0% Unknown, 5.3% Hispanic or Latino, 8.7% Asian, 8.2% White, 74.6% American Indian and Alaska Native, 0.2%
LGBT Percentage	10%	10%

Differences between data product manager and senior product 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.

Senior product manager example responsibilities.

Manage and lead pipeline visualization project team to successful presentation at annual customer event.
Research reimbursement and payment/coding policies with manage care plans and Medicare for new services.
Manage customer CRM implementations, upgrades and customer relationships (at all client levels) with sales team as SME.
Manage the PLM and PDM product quality data metrics to review process successes and deficiencies enhancing existing product delivery work cycles.
Lead SaaS application visibility and performance monitoring in hybrid enterprise to accelerate adoption of cloud.
Manage requirements capture, engineering and QA schedules, feature stability and iterative feature revisions.

Data product manager vs senior product manager skills

Common data product manager skills

Product Management, 14%
BI, 12%
QA, 9%
Regression, 9%
Product Roadmap, 6%
Project Management, 5%

Common senior product manager skills

Product Management, 11%
Cloud, 6%
Product Strategy, 4%
User Stories, 4%
Product Vision, 4%
Product Roadmap, 4%

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Data Product Manager
Data Product Manager vs Senior Product Manager

Updated January 8, 2025

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