Programming executive vs product owner

The differences between programming executives and product owners can be seen in a few details. Each job has different responsibilities and duties. While it typically takes More than 10 years to become a programming executive, becoming a product owner takes usually requires 8-10 years. Additionally, a product owner has an average salary of $97,070, which is higher than the $68,840 average annual salary of a programming executive.

The top three skills for a programming executive include program management, oversight and service delivery. The most important skills for a product owner are user stories, acceptance criteria, and product backlog.

Programming executive vs product owner overview

	Programming Executive	Product Owner
Yearly salary	$68,840	$97,070
Hourly rate	$33.10	$46.67
Growth rate	6%	10%
Number of jobs	71,784	129,990
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 75%	Bachelor's Degree, 67%
Average age	52	39
Years of experience	-	10

Programming executive vs product owner salary

Programming executives and product owners have different pay scales, as shown below.

	Programming Executive	Product Owner
Average salary	$68,840	$97,070
Salary range	Between $44,000 And $106,000	Between $71,000 And $130,000
Highest paying City	Seattle, WA	San Francisco, CA
Highest paying state	Washington	California
Best paying company	Federal Reserve Bank of New York	ORIX USA
Best paying industry	Government	Manufacturing

Differences between programming executive and product owner education

There are a few differences between a programming executive and a product owner in terms of educational background:

	Programming Executive	Product Owner
Most common degree	Bachelor's Degree, 75%	Bachelor's Degree, 67%
Most common major	Business	Business
Most common college	University of Pennsylvania	University of Georgia

Programming executive vs product owner demographics

Here are the differences between programming executives' and product owners' demographics:

	Programming Executive	Product Owner
Average age	52	39
Gender ratio	Male, 55.4% Female, 44.6%	Male, 64.3% Female, 35.7%
Race ratio	Black or African American, 3.8% Unknown, 3.9% Hispanic or Latino, 7.9% Asian, 7.7% White, 76.1% American Indian and Alaska Native, 0.6%	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	12%	10%

Differences between programming executive and product owner duties and responsibilities

Programming executive example responsibilities.

Manage the timely construction of a new $300,000 man-camp for the HQ location.
Advise program director on best path to achieve logistics portion of the program goals and objectives.
Achieve superior customer satisfaction rates and SLA compliance by serving as client single point-of-contact for contract management.
Manage programs for profit/nonprofit healthcare organizations and IDNs.
Program manager providing executive oversight and accountability for managing integrate ambulatory, clinical and revenue cycle programs.
Analyze and manage implementation of operational and organizational structures and technology architectures in addition to ERP package selection.

Product owner example responsibilities.

Manage remote teams to port core and legacy components into AWS.
Manage a global team to create Java base EDI / XML / XSL mapping suite.
Gather and define requirements for the BSS require to operate and manage the SaaS offerings.
Serve as technical contact for affiliate partners during API integration and create and manage API documentation.
Manage the team to redesign the Java base desktop trading community management product to a web base portal.
Used Microsoft TFS to manage project phases, sprints and burn down chart of various stages of SDLC.

Programming executive vs product owner skills

Common programming executive skills

Program Management, 12%
Oversight, 12%
Service Delivery, 7%
Executive Leadership, 6%
Leadership, 5%
Financial Management, 4%

Common product owner skills

User Stories, 10%
Acceptance Criteria, 7%
Product Backlog, 5%
Analytics, 5%
Product Management, 4%
EPICS, 4%