Career profile · 11-9199
Wind Energy Operations Managers
Manage wind field operations, including personnel, maintenance activities, financial activities, and planning.
What the work can involve
- Supervise employees or subcontractors to ensure quality of work or adherence to safety regulations or policies.
- Train or coordinate the training of employees in operations, safety, environmental issues, or technical issues.
- Track and maintain records for wind operations, such as site performance, downtime events, parts usage, or substation events.
- Oversee the maintenance of wind field equipment or structures, such as towers, transformers, electrical collector systems, roadways, or other site assets.
- Prepare wind field operational budgets.
- Develop relationships and communicate with customers, site managers, developers, land owners, authorities, utility representatives, or residents.
Selected core tasks from O*NET 31.0. Responsibilities vary by employer, specialization and experience.
Preparation and entry routes
This broad O*NET group commonly involves vocational training, related experience or an associate-level route. It does not mean every course in a related subject meets the requirements.
Check the route for the specific occupation where you plan to work. Education, employer experience requirements, occupational licensing and industry certification can be separate steps.
Understand the different credentials →Skills used in this occupation
- Active Listening
- Critical Thinking
- Monitoring
- Reading Comprehension
- Speaking
Selected from the highest importance ratings available in O*NET 31.0. These describe the occupation, not a particular school's curriculum.
Knowledge to build
- Administration and Management
- Mechanical
- Engineering and Technology
- Public Safety and Security
- Personnel and Human Resources
Selected from the highest importance ratings available in O*NET 31.0. These describe the occupation, not a particular school's curriculum.
Common work activities
- Making Decisions and Solving Problems
- Repairing and Maintaining Mechanical Equipment
- Coordinating the Work and Activities of Others
- Communicating with Supervisors, Peers, or Subordinates
- Inspecting Equipment, Structures, or Materials
Selected from the highest importance ratings available in O*NET 31.0. These describe the occupation, not a particular school's curriculum.
Training subjects to investigate
The federal education-to-occupation crosswalk connects this role to the subjects below. These links do not endorse a school or guarantee that any particular award qualifies a graduate for the job.
Working conditions to consider
These are the most common published responses to selected O*NET work-setting questions. They describe occupation-level survey findings, not every employer or a particular job.
| Work-setting question | Most common response | Share giving that response |
|---|---|---|
| Contact With Others | Constant contact with others | 58.4%08/2021 · sample 21 |
| Exposed to Contaminants | Once a year or more but not every month | 38.8%08/2021 · sample 21 |
| Exposed to Disease or Infections | Never | 93.2%08/2021 · sample 21 |
| Exposed to Hazardous Conditions | Once a week or more but not every day | 33.5%08/2021 · sample 21 |
| Spend Time Sitting | About half the time | 35.7%08/2021 · sample 21 |
| Spend Time Standing | Less than half the time | 55.5%08/2021 · sample 21 |
| Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls | Less than half the time | 52.6%08/2021 · sample 21 |
| Time Pressure | Once a week or more but not every day | 52.2%08/2021 · sample 21 |
| Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets | Every day | 73.8%08/2021 · sample 20 |
| Work Schedules | Irregular (changes with weather conditions, production demands, or contract duration) | 51.0%08/2021 · sample 21 |
O*NET 31.0 Work Context, selected topics. Only unsuppressed source responses with sample size at least 10 are shown. A most-common response need not be a majority. Sampling uncertainty applies; source dates vary. Ask employers about actual schedules, accessibility, protective equipment and working conditions.
Software used in the workplace
Use these O*NET examples to ask how a course builds practical digital skills. They are workplace examples, not a required shopping list or confirmation of a school’s curriculum.
- Analytical or scientific software: Computerized diagnostic software
- Calendar and scheduling software: Employee scheduling software
- Compliance software: Gensuite
- Computer aided design CAD software: Autodesk AutoCAD
- Data base user interface and query software: WebEx WebOffice
- Electronic mail software: IBM Lotus Notes, Microsoft Outlook
- Enterprise resource planning ERP software: SAP software
- Facilities management software: Computerized maintenance management system CMMS, Oracle Enterprise Asset Management eAM
- Industrial control software: Programmable logic controller PLC software, Supervisory control and data acquisition SCADA software
- Internet browser software: Web browser software
- Inventory management software: Inventory control software
- LAN software: Local area network LAN software
Selected categories and examples from O*NET 31.0 Software Skills. Products and employer requirements change. These examples are not endorsements; check the complete official occupation profile.
Physical demands and schedule evidence
BLS surveyed jobs in the broader occupation Managers, all other (SOC 11-9199). These preliminary 2025 estimates describe work requirements across surveyed employers. Individual workplaces, adjustments and duties differ.
Explore 55 occupational requirement estimates
| Requirement | Share of workers | Standard error |
|---|---|---|
| Workers that had work schedule variability required | 41.1% | 13.1 percentage points |
| Workers that had the ability to pause work Estimate is greater than 95 percent. This estimate is the mode for the category group. | >95% | Not published The standard error is not available for this estimate. |
| Workers that had the ability to telework | 34.8% | 9.4 percentage points |
| Workers that required on-the-job training This estimate is the mode for the category group. | 67.0% | 9.0 percentage points |
| Workers that required prior work experience Estimate is greater than 99.5 percent. This estimate is the mode for the category group. | >99.5% | Not published The standard error is not available for this estimate. |
| Workers that were not exposed to extreme cold Estimate is greater than 99.5 percent. This estimate is the mode for the category group. | >99.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme cold, seldom Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme cold, occasionally Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme cold, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme cold, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme cold Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were not exposed to extreme heat Estimate is greater than 80 percent. This estimate is the mode for the category group. | >80% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat, seldom Estimate is less than 20 percent. | <20% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat, occasionally Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to extreme heat Estimate is less than 20 percent. | <20% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to quiet noise | 21.6% | 8.3 percentage points |
| Workers that were exposed to moderate noise This estimate is the mode for the category group. | 68.2% | 10.7 percentage points |
| Workers that were exposed to very loud noise Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that used personal protective equipment to mitigate exposure to noise Estimate is less than 40 percent. | <40% | Not published The standard error is not available for this estimate. |
| Workers that were not exposed to outdoors This estimate is the mode for the category group. | 78.0% | 8.3 percentage points |
| Workers that were exposed to outdoors, seldom | 4.5% | 1.9 percentage points |
| Workers that were exposed to outdoors, occasionally | 17.3% | 7.8 percentage points |
| Workers that were exposed to outdoors, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to outdoors, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that were exposed to outdoors | 22.0% | 8.3 percentage points |
| Workers that were allowed the choice of sitting or standing This estimate is the mode for the category group. | 71.1% | 10.4 percentage points |
| Workers that were not allowed the choice of sitting or standing | 28.9% | 10.4 percentage points |
| Workers that required climbing ladders, ropes, or scaffolds, seldom Estimate is less than 40 percent. | <40% | Not published The standard error is not available for this estimate. |
| Workers that required climbing ladders, ropes, or scaffolds, occasionally Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required climbing ladders, ropes, or scaffolds, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required climbing ladders, ropes, or scaffolds, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required climbing ladders, ropes, or scaffolds Estimate is less than 40 percent. | <40% | Not published The standard error is not available for this estimate. |
| Workers that required driving This estimate is the mode for the category group. | 64.6% | 9.7 percentage points |
| Workers that required low postures, seldom | 19.1% | 7.6 percentage points |
| Workers that required low postures, occasionally | 24.6% | 14.2 percentage points |
| Workers that required low postures, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required low postures, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required work in low postures | 43.7% | 12.0 percentage points |
| Workers that could choose to crawl when in low postures Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that could choose to stoop when in low postures | 26.4% | 10.4 percentage points |
| Workers that could choose to kneel when in low postures Estimate is less than 45 percent. | <45% | Not published The standard error is not available for this estimate. |
| Workers that required reaching overhead, seldom | 32.6% | 12.0 percentage points |
| Workers that required reaching overhead, occasionally Estimate is less than 30 percent. | <30% | Not published The standard error is not available for this estimate. |
| Workers that required reaching overhead, frequently Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required reaching overhead, constantly Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required reaching overhead with one hand | 11.8% | 5.9 percentage points |
| Workers that required reaching overhead with both hands This estimate is the mode for the category group. | 32.4% | 13.4 percentage points |
| Workers that required reaching overhead | 44.2% | 11.8 percentage points |
| Workers that required a sedentary strength level This estimate is the mode for the category group. | 51.1% | 11.4 percentage points |
| Workers that required a light strength level | 23.5% | 10.0 percentage points |
| Workers that required a medium strength level | 23.4% | 13.4 percentage points |
| Workers that required a heavy strength level Estimate is less than 0.5 percent. | <0.5% | Not published The standard error is not available for this estimate. |
| Workers that required a very heavy strength level Estimate is less than 5 percent. | <5% | Not published The standard error is not available for this estimate. |
Use this evidence to ask about the actual work environment and available accommodations. It is not a medical assessment or a reason to rule yourself out of an occupation.
BLS Occupational Requirements Survey, preliminary 2025, released January 16, 2026; samples collected August 2023–July 2025. Source bounds such as “less than” are preserved. Categories are not necessarily additive. Understanding standard errors.
Pay & employment outlook
Salary estimates for wind energy operations managers
This O*NET specialty shares the BLS 11-9199 occupation series. Pay is measured for Managers, All Other, not separately for this specialty.
The median divides workers into two equally sized groups by pay. It is not a starting salary, a school’s graduate outcome or a promise of employment. Lower percentiles are not automatically new graduates.
National outlook: 2025–2035
- Typical education for entry
- Bachelor's degree
- Related work experience
- Less than 5 years
- Typical on-the-job training
- None
BLS national employment projections, 2025–2035. Openings include people leaving occupations or the labor force; these are not advertised vacancies. Education categories describe typical entry, not legal eligibility or a guarantee that any specific program is sufficient.
Compare wages across 51 state/DC estimates
| State | Annual median | Hourly median | Employment |
|---|---|---|---|
| Alabama | $135,890 | $65.33 | 1,970 |
| Alaska | $127,950 | $61.51 | 1,740 |
| Arizona | $129,870 | $62.44 | 8,540 |
| Arkansas | $87,520 | $42.08 | 5,690 |
| California | $174,560 | $83.92 | 99,580 |
| Colorado | $171,140 | $82.28 | 14,060 |
| Connecticut | $162,690 | $78.22 | 7,330 |
| Delaware | $168,060 | $80.80 | 1,280 |
| District of Columbia | $175,720 | $84.48 | 18,570 |
| Florida | $108,890 | $52.35 | 37,820 |
| Georgia | $125,000 | $60.10 | 34,680 |
| Hawaii | $130,000 | $62.50 | Not published |
| Idaho | $131,550 | $63.24 | 1,230 |
| Illinois | $140,240 | $67.42 | 31,680 |
| Indiana | $79,900 | $38.42 | 6,990 |
| Iowa | $128,080 | $61.58 | 3,600 |
| Kansas | $131,710 | $63.32 | 2,690 |
| Kentucky | $122,930 | $59.10 | 2,390 |
| Louisiana | $103,140 | $49.59 | 13,220 |
| Maine | $115,920 | $55.73 | 1,860 |
| Maryland | $159,040 | $76.46 | 17,530 |
| Massachusetts | $182,950 | $87.96 | 10,630 |
| Michigan | $134,260 | $64.55 | 9,380 |
| Minnesota | $152,600 | $73.37 | 4,160 |
| Mississippi | $101,570 | $48.83 | 960 |
| Missouri | $125,760 | $60.46 | 11,420 |
| Montana | $110,470 | $53.11 | 1,600 |
| Nebraska | $116,430 | $55.98 | 2,640 |
| Nevada | $112,040 | $53.87 | 9,110 |
| New Hampshire | $145,630 | $70.02 | 1,330 |
| New Jersey | $161,510 | $77.65 | 30,270 |
| New Mexico | $123,550 | $59.40 | 3,770 |
| New York | $167,200 | $80.39 | 18,470 |
| North Carolina | $141,160 | $67.87 | 21,830 |
| North Dakota | $126,440 | $60.79 | 2,040 |
| Ohio | $129,940 | $62.47 | 7,360 |
| Oklahoma | $131,870 | $63.40 | 1,340 |
| Oregon | $125,580 | $60.38 | 7,680 |
| Pennsylvania | $131,600 | $63.27 | 20,170 |
| Rhode Island | $165,900 | $79.76 | 790 |
| South Carolina | $129,960 | $62.48 | 2,210 |
| South Dakota | $119,470 | $57.44 | 570 |
| Tennessee | $99,430 | $47.80 | 17,510 |
| Texas | $134,390 | $64.61 | 61,410 |
| Utah | $134,890 | $64.85 | 9,190 |
| Vermont | $125,440 | $60.31 | 1,060 |
| Virginia | $166,230 | $79.92 | 21,560 |
| Washington | $164,160 | $78.92 | 10,490 |
| West Virginia | $124,940 | $60.07 | 3,640 |
| Wisconsin | $107,050 | $51.46 | 14,240 |
| Wyoming | $113,420 | $54.53 | 850 |
Metropolitan and nonmetropolitan wages
Search the 516 published local-area estimates for this occupation. Metropolitan areas can cross state lines; a city’s postal name is not necessarily the statistical area’s name.
Sources: BLS May 2025 OEWS public downloads and 2025–2035 employment projections, retrieved September 9, 2026. Unpublished estimates stay unavailable. “+” means BLS’s upper reporting threshold ($239,200 annually or $115 hourly). Wages exclude self-employment and nonwage benefits. How to interpret these figures.
Compare the route and prepare for work
Questions to test the fit
- What does an entry-level working day look like, and how does it differ from the experienced role described here?
- Which tasks, work environments and schedules would I enjoy or find difficult?
- What education, supervised practice and credentials do local employers actually request?
- Can I speak with someone in the occupation or arrange a suitable workplace visit?
- How does the complete training cost compare with my realistic budget and available routes?
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Related through shared training-subject mappings. Entry requirements can differ substantially.
Sources and attribution
This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under CC BY 4.0. Trade School Guides selects and organizes the material and adds explanatory guidance. USDOL/ETA has not approved, endorsed or tested these modifications. Occupation code: 11-9199.09.
Training connections: CIP 2020–SOC 2018 crosswalk. Snapshot: September 8, 2026. See the methodology.