2017 Professional Staff Salary Survey - Compensation (2023)

2017 Professional Staff Salary Survey

Table of Contents

Executive summary

Methods

Survey findings

UW benchmark job descriptions

Executive summary

Background

The University of Washington retained Milliman to conduct a cash compensation study for its professional staff positions.

Milliman evaluated cash compensation for 56 benchmark jobs in the University’s professional staff group. Base salary and total cash compensation data were collected from regional and national institutions of higher education via a custom survey for 38 jobs and published surveys for 42 jobs.

The custom survey was distributed to 77 target institutions. Twenty-six institutions participated in the survey (approximately 1/3).

A similar survey was conducted by Milliman in 2007, 2012 and 2015.

In 2017, Milliman used many of the same published survey sources as 2015. Where published sources were the same as the previous study, Milliman used survey matches that were approved by the Professional Staff Salary Advisory Group (a committee of professional staff employees) and the University’s Compensation Office.

The 56 benchmark jobs, chosen by the University’s Compensation Office, the Professional Staff Salary Survey Advisory Group and Milliman, provide a solid representation of benchmark positions within the University’s grade structure and across job groups as summarized by the tables that follow.

Findings

Market conditions have changed gradually since the period when the last survey was completed; minimum wage has shown more aggressive increases.

2017 Professional Staff Salary Survey - Compensation (1)

The chart on the following page illustrates the changes in market compensation over the past 32 years and also shows the University’s annual professional staff salary increase merit pool percentage for the most recent 25 years.

*Note: State-imposed salary freeze February 2009 through 2012.

The 56 benchmark jobs, chosen by the UW Compensation Office, the Professional Staff Salary Survey Advisory Committee, and Milliman provide a solid representation of jobs and employees within the University’s grade structure and across job groups as summarized by the tables below.

The University’s entire professional staff supports one of the nation’s premier public research universities. There are 9,813 professional staff in grades 5 through 11. UW Medicine is a leading health care provider in the region and nationally known for a number of its programs. The staff in this group on all three of the University’s campuses provide expertise to support the University’s teaching, research and public service mission.

Maintaining competitive levels of compensation is critical to staff retention. Compensation for new hires is also critical in that the University must offer competitive rates consistent with what their peers are offering as well as what existing employees at the University are being paid.

This analysis covers professional staff jobs in grades 5 through 11, which includes 9,813 employees.

The University sources professional staff employees from the education sector and from general industry (including the private sector). In most areas, the University loses employees to both of these markets. The private sector can often provide a total pay package that includes elements that the University does not offer and which make competing difficult for most educational institutions. For example, the private sector is able to offer direct compensation that consists of base salary, annual incentives, benefits and often long-term incentives such as stock options.

The University is limited in the value of its total compensation package by the absence of annual and/or long-term incentives. Historically the University has addressed this limitation by:

Targeting total cash compensation (base plus incentives) for these jobs at the 50th percentile total cash level in the market. This practice provides the University with the ability to offer a stronger cash compensation package than many of ts counterparts.

Providing benefits that are above average in the market. Medical, dental, disability and retirement benefits have traditionally been, and continue to be, above the median and close to or above the 75th percentile when compared to Milliman’s database.

Additionally, when making a national hire the University is more challenged than many of its peer institutions because of its location. The cost of living in the greater Seattle area is roughly 49% higher than the national average, according to Economic Research Institute data. Cost of living certainly impacts the decisions of potential employees from other parts of the country. While the cost of labor in Seattle is 12% higher than the national average and new recruits can make more dollars here than in many locations, the difference can present obstacles to recruiting.

While the above elements can impact recruitment, the University provides a number of significant attractions beyond direct compensation. These include a highly desirable location, the opportunity to work at a premier institution of higher education, a stimulating work environment, job security, and rich cultural experiences to name just a few.

This compensation analysis included a custom survey of institutions of higher education and data from published surveys. Published data used are primarily regional in nature while the custom survey included universities across the United States (global challenge peer institutions as well as the University’s primary peer group). All national data in this report, both published survey data and data from the custom survey, have been geographically adjusted to reflect the Puget Sound area.

Conclusions

Cash compensation in general is well aligned with the market TCC 50th percentile. When comparing the University of Washington individual salaries to the market TCC 50th percentile, the University employee-weighted average is 6.0% below the market. When you exclude the Research job grouping, which has historically been an outlier, the employee weighted average is closer to the market with a market lag of only 1.7%.

Similar to the studies completed in 2012 and 2015, the results suggest that the University has been able to provide reasonably competitive compensation around the market target. The chart below shows how the University’s base pay compares to a normal range around the market TCC 50th percentile (a normal range is usually considered between 80% and 120% of the market competitive level). As illustrated, nearly all jobs fall within a “normal” range around the market 50th percentile.

Methods

2017 Professional Staff Salary Survey - Compensation (2)

Benchmark positions and compensation data sources

The University’s Compensation Office, the Professional Staff Salary Survey Advisory Group (a committee of professional staff employees) and Milliman consultants reviewed previous benchmark positions used in this study and identified an additional position for inclusion and elimination of two jobs that did not provide adequate data in the past.

The following table lists the benchmark positions and the survey data sources used for each job.

Survey Data Sources are:
Custom Survey, CUPA, Economic Research Institute, Hospital Salary & Benefits, Integrated Healthcare Strategies, McConnell, Mercer, Milliman, Pearl Meyer, Sullivan Cotter, Towers Watson, and Wamser.

Job FamilyBenchmarkSurvey Data Source
Hover to view source
Counseling/Student Services
CAcademic Counselor

x

x

x

CAcademic Counselor – Lead

x

CCounseling Services Coordinator

x

CEducation Outreach – Program Manager

x

x

CEducation Outreach Specialist (Entry)

x

CMental Health Therapist

x

x

x

CStudent or Academic Services Director

x

CStudent Services Advisor/Counselor

x

x

x

CStudent Services Advisor/Counselor (Lead)

x

CStudent Services Advisor/Counselor (Senior)

x

x

Development
DDevelopment Officer

x

x

x

DMajor Gifts Officer

x

x

x

x

Health Care
HChief Clinical Dietician

x

x

x

x

HClinical Nurse Specialist Educator

x

x

x

x

x

x

HClinic Manager

x

HDiagnostic Imaging Administrative Director

x

x

x

x

x

HFinancial Analyst/Decision Support

x

x

x

HNurse Manager

x

x

x

x

x

Manager/Strategic Advisor
MAdministrative Assistant

x

x

x

MAdministrator (Large Organization)

x

MAdministrator (Small Organization)

x

MAuditor

x

x

x

x

MBudget Analyst

x

x

x

x

x

MCompliance Analyst

x

MConstruction Project Manager

x

x

MExecutive Assistant

x

x

x

x

MFood Service Assistant Manager

x

x

x

x

MFood Service Manager

x

x

x

MGrants and Contracts Program Manager/Specialist

x

x

MHuman Resources Consultant – Employee Relations

x

x

x

MProgram Director/Manager (Large Program)

x

MProgram Director/Manager (Small Program)

x

Public Information/Communications
PGraphic Designer

x

x

x

x

PPublic Information Specialist (Entry Level)

x

PPublic Information Specialist (Journey Level)

x

x

x

PPublic Information Specialist (Senior Level)

x

x

x

PPublications Coordinator

x

PWeb Content Specialist

x

x

x

x

Research
RAssistant Research Scientist/Research Engineer

x

RAssociate Research Scientist/Research Engineer

x

x

RPrincipal Research Scientist/Research Engineer

x

x

RResearch Consultant

x

RResearch Coordinator

x

RResearch Scientist/Research Engineer

x

x

Information Technology
TBusiness System Analyst

x

x

x

x

TDepartment IT Manager

x

TDirector, IT (Large Organization)

x

x

TNetwork Engineer

x

x

x

x

TPrincipal Technology Program Manager – Enterprise-Wide Systems

x

x

TSenior Applications Systems Engineer – Enterprise-Wide Systems

x

x

x

x

TSenior Computer Specialist

x

x

x

x

x

TSoftware Engineer

x

x

x

x

TSystems Programmer

x

x

x

x

x

TTechnology Program Manager – Enterprise-Wide Systems

x

TTechnology Project Manager

x

x

x

x

TWeb Computing Specialist

x

x

x

x

Benchmark positions and compensation data sources

Custom survey invitees included peer universities and a group of regional higher education institutions (77 total). The following tables show organizations contacted and those submitting data for the 2007, 2012, 2015 and 2017 survey. Each year of the custom survey approximately 1/3 of the invited institutions participate.

Peer Institutions2007 Participant2012 Participant2015 Participant2017 Participant
Baylor University
Boise State University
Colorado State University

2012

Cornell University

2007

2012

2015

2017

Duke University
Florida State University

2007

Georgetown University

2007

Georgia Institute of Technology

2012

2015

2017

Indiana University

2012

2015

Iowa State University

2007

2015

2017

Johns Hopkins University

2012

Michigan State University

2015

Montana State University
New York University

2012

North Carolina State University
Ohio State University

2015

2017

Oregon Health Sciences University

2007

2012

2017

Penn State
Rutgers University

2017

Stanford University
Syracuse University

2017

Temple University

2012

2015

Texas A&M University

2017

University of Alabama
University of Arizona

2007

University of California – Berkeley

2007

University of California – Davis

2012

University of California – Irvine

2007

2012

2015

2017

University of California – Los Angeles
University of California – San Diego

2012

University of California – San Francisco
University of Chicago
University of Cincinnati

2007

2012

University of Colorado
University of Connecticut
University of Dayton

2007

2015

2017

University of Florida
University of Georgia

2007

2015

University of Hawaii at Manoa

2012

2017

University of Illinois – Chicago
University of Iowa

2007

2012

2015

2017

University of Kansas

2007

2015

2017

University of Kentucky

2015

2017

University of Maryland
University of Massachusetts
University of Michigan – Ann Arbor

2007

2012

University of Minnesota Twin Cities

2007

2017

University of Missouri – Columbia

2012

University of Montana

2007

2012

2015

2017

University of New Mexico – Albuquerque

2015

2017

University of North Carolina – Chapel Hill

2012

University of Notre Dame

2017

University of Oregon
University of Pennsylvania

2015

2017

University of Pittsburgh

2007

2015

University of Rochester

2015

University of Texas – Austin

2007

2012

2015

2017

University of Utah

2012

2017

University of Virginia

2007

2012

2015

University of Wisconsin at Madison
Virginia Polytechnic Institute

2015

2017

West Virginia University

2007

2012

2017

Yale University

2015

2017

Published survey sources included both regional and national surveys. The list of surveys used in these analyses follows:

National SurveysRegional Surveys
CUPAMilliman Northwest Benefits Survey
Economic Research InstituteMilliman Northwest Health Care
Higher Ed. Custom SurveyMilliman Northwest Management & Professional
Hospital Salary & Benefits*Milliman Puget Sound Regional
Integrated Healthcare Strategies*Milliman Northwest Technology
McConnell & Company Institutional Advancement
Mercer Benchmark (West Coast Region)
Mercer Integrated Health Networks*
Pearl Meyer Research & Development
Sullivan Cotter Manager & Executive Comp in Hospitals*
Towers Watson Health Care & Professional
Wamser University Foundation/Development

* Milliman supplemented 2016/2017 published survey sources with five healthcare sources from the 2015 study- aged to 2017.

Data reporting and analyses

Data gathered from all surveys were aged to May 1, 2017.

Job descriptions were provided to custom survey participants to assist them with job matching. Milliman followed up with each articipant to clarify job matches and input where necessary.

Milliman consultants began with the University reviewed job matches from 2015 and also reviewed the University’s job escriptions and matched each position to one new data source in 2017.

Data provided in this report for all survey matches, where such data were available, (additional detailed data on market percentiles re included in the appendix) include base 50th and total cash 50th.

Milliman compared the University’s benchmark average data to the market median total cash compensation (50th percentile). ther comparisons can be made using this data, but Milliman believes the 50th percentile is the strongest point of comparison because:

  • The 50th percentile is statistically more stable
  • Outliers have less impact on this data point
  • Participant changes have less impact on this data point
  • Without a variable pay plan, the University should take into account the other cash compensation available in the market by targeting market total cash

Using median total cash compensation (50th percentile) presents somewhat of a problem for the University since some of the key surveys relied on for this study, such as CUPA, do not report total cash data. In light of this, for the purposes of this study, the university requested Milliman make the working assumption for survey sources not reporting median total cash that median base be qual to median total cash.

Explanation of data terms and tables

Job Family
The group to which the benchmark is connected for purposes of evaluating competitive pay w ithin a group of benchmarks

UW Job Code
The unique number assigned to a job at the University

UW Job Title
Current University of Washington job title which may be different from the survey title

# UW Employees
Current count of employees assigned to the job title/code

UW Average Annual Pay
The average annualized base salary of incumbents in the job as of May 2017

Market 50th Base
Median (50th percentile) of actual pay for the job in the market data sources

Market 50th TCC
Actual total cash compensation paid f or the job in the market data sources

UW/Market 50th TCC
The ratio of average pay for the job at the University of Washington compared to the market target

UW Salary Grade
Current pay grade assigned to the jobs

Survey Code
The job code assigned to each benchmark job

Survey Job Title
The title of the similar job in the survey source (note: jobs w ere matched not based on title but on job responsibilities, etc.)

Scope
The size or nature of the organizations included in the data from each survey source

Base 25th
The market salary level at which 25% of organizations pay below

Base 50th
The market salary level where half of organizations pay above and half below

Base Average
The w eighted average of pay for the job in the market

Base 75th
The market salary level w here 25% of organizations pay above

TCC
Total cash compensation (listed at the same market levels as above)

Market Target
The University of Washington’s identified competitive level of pay for the job (market 50th total cash compensation)

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Survey findings

Summary of competitive analyses

The following pages summarize the competitive position of each benchmark against the market 50th percentile total cash ompensation. The last column indicates the ratio of the University’s average pay to the market 50th total cash compensation.

Job FamilyUW Job CodeCounseling/Student Services# UW EesUW/Mkt 50th TCC
C1347Academic Counselor35-1.2%
C1349, 1350Academic Counselor – Lead270.0%
C1377, 9617Counseling Services Coordinator169-13.4%
C1209Education Outreach – Program Manager523.0%
C1207, 1967, 9837Education Outreach Specialist (Entry)740.6%
C1308Mental Health Therapist1011.9%
C1361Student or Academic Services Director41-12.8%
C1341, 9596Student Services Advisor/Counselor21-1.7%
C1343Student Services Advisor/Counselor (Lead)22-3.5%
C1342, 9597Student Services Advisor/Counselor (Senior)30-2.2%
Total Incumbents & Weighted Average:481-5.6%
Job FamilyUW Job CodeDevelopment# UW EesUW/Mkt 50th TCC
D1629Development Officer9-9.3%
D1554Major Gifts Officer54-10.3%
Total Incumbents & Weighted Average:69-10.1%
Job FamilyUW Job CodeHealth Care# UW EesUW/Mkt 50th TCC
H1595Chief Clinical Dietician419.9%
H1200Clinical Nurse Specialist Educator4012.2%
H1590Clinic Manager6217.1%
H1183, 1251Diagnostic Imaging Administrative Director121.8%
H1184Financial Analyst/Decision Support21-1.6%
H1580Nurse Manager5717.1%
Total Incumbents & Weighted Average:18510.9%
Job FamilyUW Job CodeManager/Strategic Advisor# UW EesUW/Mkt 50th TCC
M9806, 1176, 1926,
9514, 9552, 9556,
1386, 9586, 1315,
9626, 1336
Administrative Assistant20-6.1%
M1250, 1300, 1500Administrator (Large Organization)823.0%
M1248, 1298, 1503Administrator (Small Organization)772.9%
M1556Auditor119.8%
M1532Budget Analyst9-1.9%
M1799Compliance Analyst577.2%
M1070Construction Project Manager252.4%
M1157, 1257, 1314,
1944, 9557, 9587,
9517, 9807, 9817,
9627, 1337, 9553,
1927, 1387, 1177, 9513
Executive Assistant213-16.5%
M1506Food Service Assistant Manager10-6.1%
M1508Food Service Manager17-4.3%
M1775Grants and Contracts Program Manager/Specialist20-3.1%
M1089Human Resources Consultant – Employee Relations21-4.2%
M1110, 1130, 1150, 1510Program Director/Manager (Large Program)22020.8%
M1108, 1128, 1148,
1508, 1528
Program Director/Manager (Small Program)451.2%
Total Incumbents & Weighted Average:9371.4%
Job FamilyUW Job CodePublic Information/Communications# UW EesUW/Mkt 50th TCC
P1697Graphic Designer28-12.2%
P9735Public Information Specialist (Entry Level)3-5.6%
P1537, 9737Public Information Specialist (Journey Level)81-3.0%
P1538, 9738Public Information Specialist (Senior Level)86-1.7%
P1672, 9777Publications Coordinator12-11.5%
P1687, 9687Web Content Specialist26-11.0%
Total Incumbents & Weighted Average:236-5.0%
Job FamilyUW Job CodeResearch# UW EesUW/Mkt 50th TCC
R9691Assistant Research Scientist/Research Engineer64-20.1%
R9693, 1493Associate Research Scientist/Research Engineer359-28.8%
R1497Principal Research Scientist/Research Engineer79-6.2%
R9696Research Consultant75-22.4%
R1758Research Coordinator13712.1%
R1495Research Scientist/Research Engineer291-17.7%
Total Incumbents & Weighted Average:1005-17.2%
Job FamilyUW Job CodeInformation Technology# UW EesUW/Mkt 50th TCC
T1681Business System Analyst3710.7%
T1735Department IT Manager36-9.1%
T1745Director, IT (Large Organization)13-3.8%
T1564Network Engineer2721.1%
T1741Principal Technology Program Manager – Enterprise-Wide Systems222.3%
T1730Senior Applications Systems Engineer – Enterprise-Wide Systems75-1.9%
T1568Senior Computer Specialist311-15.2%
T1490, 1560Software Engineer9813.0%
T1572Systems Programmer21-8.9%
T1739Technology Program Manager – Enterprise-Wide Systems4-16.2%
T1680Technology Project Manager393.3%
T1743Web Computing Specialist31-1.0%
Total Incumbents & Weighted Average:714-4.4%

Note: TCC or total cash compensation is defined as base salary plus annual incentives/bonuses, such as short-term incentives. For jobs where there is little or no incentive opportunity, median total cash is effectively the same as the market 50th base. Most jobs in higher education in fact have no bonus or incentive pay and therefore, for these jobs, base salary equals total cash, since the value of bonuses and annual incentives for these jobs is zero.

The University is generally competitive with the market, lagging by approximately 6.0% overall (weighted average) however, the level of competitiveness varies by job grouping and grade.

The following table shows how each job grouping has compared to the market UW Average Annual Pay versus TCC 50th over the last three studies.

The Research job group has been consistently lagging the market by 10% or more since 2012.

Health Care pay at the University has consistently lead compared to the market during the last three studies.

Job Groupings (difference by percentage)201220152017
Counseling/Student Services-3.4-5.0-5.6
Development-8.8-15.6-10.1
Health Care5.711.310.9
Manager/Strategic Advisor-1.2-0.91.4
Public Information/Communications-12.9-10.8-5.0
Research-15.7-17.1-17.2
Information Technology-7.3-5.3-4.4

The following table shows how each grade has compared to the market (UW Average Annual Pay versus TCC 50th over the past three studies.

UW Avg Pay vs TCC 50th (percentage difference by Job Grade)201220152017
11-7.5-9.9-4.1
102.95.19.6
9-12.5-9.7-8.8
8-4.0-4.6-4.1
7-14.3-16.3-17.3
6-7.6-15.4-12.1
5-30.3-13.9-19.5

The most significant and consistent market lag has been with grade seven.

Competitive analysis by salary grade

The following tables provide comparison by grades for the benchmark positions.

Job FamilyUW Job CodeJob TitleUW Salary Grade# UW EesUW/Mkt 50th TCC
H1251, 1111Diagnostic Imaging Administrative Director11121.6%
T1745Director, IT (Large Organization)1113-1.8%
R1497Principal Research Scientist/Research Engineer1179-6.2%
T1741Principal Technology Program Manager – Enterprise-Wide Systems11222.3%
Total Incumbents & Weighted Average:115-4.1%
M1250, 1300, 1500Administrator (Large Organization)10823.0%
H1595Chief Clinical Dietician10419.9%
H1590Clinic Manager106217.1%
H1200Clinical Nurse Specialist Educator104012.2%
M1070Construction Project Manager10252.4%
T1735Department IT Manager1036-9.1%
D1554Major Gifts Officer1054-10.3%
T1564Network Engineer102721.1%
H1580Nurse Manager10577.1%
M1110, 1130, 1150,
1510
Program Director/Manager (Large Program)1022020.8%
T1730Senior Applications Systems Engineer – Enterprise-Wide Systems1075-1.9%
T1490, 1560Software Engineer109813.0%
T1680Technology Project Manager10393.3%
Total Incumbents & Weighted Average:8199.6%
M1532Budget Analyst99-1.9%
T1681Business System Analyst93710.7%
M1799Compliance Analyst9577.2%
D1629Development Officer915-9.3%
C1209Education Outreach – Program Manager9523.0%
H1184Financial Analyst/Decision Support921-1.8%
M1089Human Resources Consultant – Employee Relations921-4.2%
R1495Research Scientist/Research Engineer9291-17.7%
C1361Student or Academic Services Director941-12.8%
T1572Systems Programmer921-8.9%
T1739Technology Program Manager – Enterprise-Wide Systems94-16.2%
T1743Web Computing Specialist931-1.0%
Total Incumbents & Weighted Average:600-8.8%
C1349, 1350Academic Counselor – Lead8270.0%
M1248, 1298, 1503Administrator (Small Organization)8772.9%
M1556Auditor8119.8%
M1508Food Service Manager817-4.5%
M1775Grants and Contracts Program Manager/Specialist828-3.1%
H1308Mental Health Therapist81011.9%
M1108, 1128, 1148,
1508, 1528
Program Director/Manager (Small Program)8155-2.3%
P1538Public Information Specialist (Senior Level)886-1.7%
R1758Research Coordinator813712.1%
T1568Senior Computer Specialist8311-15.2%
C1343Student Services Advisor/Counselor (Lead)822-3.5%
Total Incumbents & Weighted Average:873-4.1%
R9693, 1493Associate Research Scientist/Research Engineer7359-28.8%
C1377, 9617Counseling Services Coordinator7169-13.4%
C1207, 1967, 9837Education Outreach Specialist (Entry)7740.6%
M1157, 1257, 1314,
1337, 1387, 1944,
9557, 9587, 9553,
1177, 9517, 9807,
9817, 1927, 9513,
9627
Executive Assistant7213-15.5%
P1697Graphic Designer728-12.2%
P1537, 9737Public Information Specialist (Journey Level)781-3.0%
P1672, 9777Publications Coordinator712-11.5%
C1342, 9597Student Services Advisor/Counselor (Senior)730-2.2%
P1687, 9687Web Content Specialist726-11.0%
Total Incumbents & Weighted Average:992-17.3
C1347Academic Counselor635-1.2%
M9806, 1176, 1926, 9514,
1315, 9552, 9556, 1386,
9586, 9626, 1336
Administrative Assistant620-6.1%
M1506Food Service Assistant Manager610-6.1%
R9696Research Consultant675-22.4%
C1341, 9596Student Services Advisor/Counselor621-1.7%
Total Incumbents & Weighted Average:161-12.1
R9691Assistant Research Scientist/Research Engineer564-20.1%
P9735Public Information Specialist (Entry Level)53-15.6%
Total Incumbents & Weighted Average:67-19.5

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UW benchmark job descriptions

Counseling/Student Services
  • Academic Counselor
  • Academic Counselor – Lead
  • Counseling Services Coordinator
  • Education Outreach – Program Manager
  • Education Outreach Specialist (Entry)
  • Mental Health Therapist – Student Health Care Center
  • Student or Academic Services Director
  • Student Services Advisor/Counselor
  • Student Services Advisor/Counselor (Lead)
  • Student Services Advisor/Counselor (Senior)

READ FULL Counseling/Student Services DESCRIPTIONS

Development
  • Development Officer
  • Major Gifts Officer

READ FULL Development DESCRIPTIONS

Health Services
  • Chief Clinical Dietician
  • Clinical Nurse Specialist/Educator
  • Clinic Manager
  • Diagnostic Imaging Administrative Director
  • Financial Analyst/Decision Support
  • Nurse Manager

READ FULL Health Services DESCRIPTIONS

Managers/Strategic Advisors
  • Administrative Assistant
  • Administrator (Large Organization)
  • Administrator (Small Organization)
  • Auditor
  • Budget Analyst
  • Compliance Analyst
  • Construction Project Manager
  • Executive Assistant
  • Food Service Assistant Manager
  • Food Service Manager
  • Grants And Contracts Program Manager/Specialist
  • Human Resources Consultant – Employee Relations
  • Program Director/Manager (Large Program)
  • Program Director/Manager (Small Program)

READ FULL MANAGERS/Strategic Advisors DESCRIPTIONS

Public Information/Communications
  • Graphic Designer
  • Public Information Specialist (Entry Level)
  • Public Information Specialist (Journey Level)
  • Public Information Specialist (Senior Level)
  • Publications Coordinator
  • Web Content Specialist

READ FULL PUBLIC INFORMATION/COMMUNICATIONS DESCRIPTIONS

Research
  • Assistant Research Scientist/Research Engineer
  • Associate Research Scientist/Research Engineer
  • Principal Research Scientist/Research Engineer
  • Research Consultant
  • Research Coordinator
  • Research Scientist/Research Engineer

READ FULL RESEARCH DESCRIPTIONS

Information Technology
  • Business System Analyst
  • Department IT Manager
  • Director, IT (Large Organization)
  • Network Engineer
  • Principal Technology Program Manager – Enterprise-Wide Systems – Business Applications
  • Senior Applications System Engineer – Enterprise-Wide Systems
  • Senior Computer Specialist
  • Software Engineer
  • Systems Programmer
  • Technology Program Manager – Enterprise-Wide Systems – Business Applications
  • Technology Project Manager
  • Web Computing Specialist

READ FULL information technology DESCRIPTIONS

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