Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Wind Energy Operations Managers
Occupation · SOC 11-9199.09
Manage wind field operations, including personnel, maintenance activities, financial activities, and planning.
Also called: Site Manager · Wind Operations Supervisor · Wind Plant Manager · Wind Site Manager · Service Site Manager · Turbine Site Manager · Wind Facilities Manager · Wind Plant Operations Manager · Wind Site Supervisor · Wind Technician Leader · Clean Energy Site Manager · Energy Environmental Manager
Job family: Management Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-9199-09/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+4.5% by 2034)
- 106,700 openings/yr
- Moderate AI exposure
- Median pay $136,550/yr
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (37th), high AI task-overlap now (62nd)
62nd-percentile task overlap — yet about 106,700 openings a year (+4.5% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 72nd | 1.0 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 67th | 0.8 | |
| AI assistant applicability (Microsoft) Moderate | 49th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.3 · 37th percentile among occupations · Moderate
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Develop relationships and communicate with customers, site managers, developers, land owners, authorities, utility representatives, or residents. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.5% by 2034 |
| Projected annual openings | 106,700 |
| Employment 2024 → 2034 | 1,333,700 → 1,393,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 6 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Wind Energy Operations Managers sits at the 68th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
37% mean task exposure (2025)
68th percentile of 427 placed occupations
+5 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Business Services and Administration Managers Not Elsewhere Classified · 1219 | 42% | Gradient 2 |
| Professional Services Managers Not Elsewhere Classified · 1349 | 38% | Minimal |
| Senior Officials of Special-interest Organizations · 1114 | 37% | Minimal |
| Policy and Planning Managers · 1213 | 36% | Not exposed |
| Mining Managers · 1322 | 35% | Minimal |
| Sports, Recreation and Cultural Centre Managers · 1431 | 32% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Supervise employees or subcontractors to ensure quality of work or adherence to safety regulations or policies. Core · importance 4.5
- Train or coordinate the training of employees in operations, safety, environmental issues, or technical issues. Core · importance 4.3
- Track and maintain records for wind operations, such as site performance, downtime events, parts usage, or substation events. Core · importance 4.2
- Oversee the maintenance of wind field equipment or structures, such as towers, transformers, electrical collector systems, roadways, or other site assets. Core · importance 4.1
- Prepare wind field operational budgets. Core · importance 4.1
- Develop relationships and communicate with customers, site managers, developers, land owners, authorities, utility representatives, or residents. Core · importance 4.0
- Maintain operations records, such as work orders, site inspection forms, or other documentation. Core · importance 4.0
- Provide technical support to wind field customers, employees, or subcontractors. Core · importance 4.0
- Recruit or select wind operations employees, contractors, or subcontractors. Core · importance 4.0
- Estimate costs associated with operations, including repairs or preventive maintenance. Core · importance 4.0
- Monitor and maintain records of daily facility operations. Core · importance 3.9
- Establish goals, objectives, or priorities for wind field operations. Core · importance 3.9
- Order parts, tools, or equipment needed to maintain, restore, or improve wind field operations. Core · importance 3.9
- Review, negotiate, or approve wind farm contracts. Core · importance 3.7
- Manage warranty repair or replacement services. Core · importance 3.6
- Develop processes or procedures for wind operations, including transitioning from construction to commercial operations. Core · importance 3.5
Work activities
- Train employees on environmental awareness, conservation, or safety topics.
- Conduct employee training programs.
- Maintain operational records for green energy processes or other environmentally-sustainable activities.
- Advise others on green energy or related technologies.
- Direct facility maintenance or repair activities.
- Purchase materials, equipment, or other resources.
- Approve expenditures.
- Negotiate contracts for environmental remediation, green energy, or renewable resources.
- Recruit personnel.
- Estimate green project costs.
- Develop organizational goals or objectives.
- Establish interpersonal business relationships to facilitate work activities.
- Develop operating strategies, plans, or procedures for green or sustainable operations.
- Prepare operational budgets for green energy or other green operations.
- Supervise workers performing environmentally sustainable activities.
- Direct maintenance and repair activities in green energy production facilities.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Abilities
| Oral Expression | 4.1 | |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Speech Recognition | 4.0 | |
| Speech Clarity | 4.0 | |
| Information Ordering | 3.9 | |
| Deductive Reasoning | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Near Vision | 3.8 | |
| Fluency of Ideas | 3.3 | |
| Flexibility of Closure | 3.1 | |
| Perceptual Speed | 3.1 |
Knowledge
Essential skills
| Active Listening | 4.0 | |
| Reading Comprehension | 3.9 | |
| Speaking | 3.9 | |
| Critical Thinking | 3.9 | |
| Monitoring | 3.9 | |
| Writing | 3.8 |
Transferable skills
| Social Perceptiveness | 3.8 | |
| Management of Personnel Resources | 3.8 | |
| Coordination | 3.6 | |
| Persuasion | 3.6 | |
| Judgment and Decision Making | 3.4 | |
| Complex Problem Solving | 3.3 | |
| Operations Monitoring | 3.3 | |
| Time Management | 3.3 | |
| Negotiation | 3.1 | |
| Instructing | 3.1 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 3 — Job Zone Three: Medium Preparation Needed
- Education
- Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
- Preparation level
- SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services , Communication, Journalism, and Related Programs , Computer and Information Sciences and Support Services , Health Professions and Related Programs , History , Homeland Security, Law Enforcement, Firefighting and Related Protective Services , Library Science , Multi/Interdisciplinary Studies , Natural Resources and Conservation , Psychology , Public Administration and Social Service Professions , Social Sciences , Theology and Religious Vocations , Visual and Performing Arts . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Associate's Degree (or other 2-year degree) | 39.7% | |
| Bachelor's Degree | 34.8% | |
| High School Diploma | 14.9% | |
| Post-Secondary Certificate | 7.1% | |
| Some College Courses | 3.5% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Enterprising | 6.5 | |
| Conventional | 5.2 | |
| Realistic | 4.2 | |
| Investigative | 3.0 | |
| Social | 2.3 | |
| Artistic | 1.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $68,860 |
| 25th percentile | $100,010 |
| Median (50th) | $136,550 |
| 75th percentile | $179,190 |
| 90th percentile | $227,590 |
| People employed | 630,980 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 11-9199), not for the specialty alone.
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 94,490 | $164,060 |
| Management of Companies and Enterprises · Sector | 50,980 | $163,830 |
| Manufacturing · Sector | 46,390 | $160,640 |
| Finance and Insurance · Sector | 44,890 | $162,780 |
| Information · Sector | 38,680 | $167,740 |
| Educational Services · Sector | 32,840 | $102,450 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 32,500 | $109,990 |
| Health Care and Social Assistance · Sector | 31,360 | $108,810 |
| Wholesale Trade · Sector | 25,860 | $137,780 |
| Construction · Sector | 19,840 | $110,040 |
| Other Services (except Public Administration) · Sector | 19,110 | $111,320 |
| Retail Trade · Sector | 13,510 | $95,720 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Wind Electric Power Generation · National industry | 9.11× | 370 |
| Research and Development in the Social Sciences and Humanities · National industry | 6.07× | 1,510 |
| Management of Companies and Enterprises · Sector | 4.43× | 50,980 |
| Direct Health and Medical Insurance Carriers · National industry | 3.92× | 7,200 |
| Solar Electric Power Generation · National industry | 3.33× | 190 |
| Information · Sector | 3.25× | 38,680 |
| Nuclear Electric Power Generation · National industry | 2.7× | 410 |
| Labor Unions and Similar Labor Organizations · National industry | 2.65× | 1,150 |
Related occupations
Part of the Arts, Entertainment, & Design , Management & Entrepreneurship and Public Service & Safety career clusters.
- Wind Energy Development Managers · 11-9199.10 Compare →
- Wind Turbine Service Technicians · 49-9081.00 Compare →
- Wind Energy Engineers · 17-2199.10 Compare →
- Hydroelectric Production Managers · 11-3051.06 Compare →
- Geothermal Production Managers · 11-3051.02 Compare →
- Biomass Power Plant Managers · 11-3051.04 Compare →
- Energy Engineers, Except Wind and Solar · 17-2199.03 Compare →
- Biofuels Production Managers · 11-3051.03 Compare →
- Solar Energy Systems Engineers · 17-2199.11 Compare →
- Solar Energy Installation Managers · 47-1011.03 Compare →
- Hydroelectric Plant Technicians · 51-8013.04 Compare →
- Power Plant Operators · 51-8013.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Wind Energy Operations Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
- Communication, Journalism, and Related Programs · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 68th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Wind Energy Operations Managers show 62nd-percentile AI task overlap — and about 106,700 annual U.S. openings
- Wind Energy Operations Managers rank in the 62nd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 106,700 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+4.5%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $136,550, across about 630,980 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Wind Energy Operations Managers show 62nd-percentile AI task overlap — and about 106,700 annual U.S. openings • Wind Energy Operations Managers rank in the 62nd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 106,700 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $136,550, across about 630,980 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Wind Energy Operations Managers". https://singulariki.com/roles/role-11-9199-09 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Wind Energy Operations Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-9199-09
APA
Singulariki. (2026). Wind Energy Operations Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-9199-09
BibTeX
@misc{singulariki-role-11-9199-09,
title = {Wind Energy Operations Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-9199-09}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.