Skip to content
Singulariki

Biofuels Production Managers

Occupation · SOC 11-3051.03

Manage biofuels production and plant operations. Collect and process information on plant production and performance, diagnose problems, and design corrective procedures.

Also called: Biofuels Production Manager · Plant Manager · Production Coordinator · Production Manager · Ethanol Operations Manager · Production Plant Manager · Biodiesel Operations Manager · Biodiesel Plant Manager · Biodiesel Plant Superintendent · Biofuels Operations Manager · Biofuels Plant Manager · Biofuels Plant Superintendent

Job family: Management Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-11-3051-03/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.

48th-percentile task overlap — yet about 17,100 openings a year (+1.9% 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.) Moderate 60th 0.5
LLM task exposure, γ (OpenAI / Eloundou) Moderate 48th 0.6
AI assistant applicability (Microsoft) Moderate 38th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). 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 0.0 · 19th percentile among occupations · Low

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 · +1.9% by 2034
Projected annual openings 17,100
Employment 2024 → 2034 241,900 → 246,500

“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 occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

38% mean task exposure (2025)
72nd percentile of 427 placed occupations
+2 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Manufacturing Managers · 1321 38% 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 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Production and Processing 4.7
Administration and Management 4.1
Mechanical 4.0
Engineering and Technology 3.7
Chemistry 3.7
Mathematics 3.5
Computers and Electronics 3.3
Personnel and Human Resources 3.3
Physics 3.3
Administrative 3.3

Abilities

Oral Comprehension 4.1
Written Comprehension 4.0
Oral Expression 4.0
Speech Clarity 3.9
Written Expression 3.8
Problem Sensitivity 3.8
Deductive Reasoning 3.8
Speech Recognition 3.6
Inductive Reasoning 3.5
Selective Attention 3.5
Near Vision 3.5
Flexibility of Closure 3.3
Perceptual Speed 3.3

Essential skills

Reading Comprehension 3.9
Critical Thinking 3.9
Active Listening 3.8
Monitoring 3.8
Speaking 3.6
Writing 3.5
Learning Strategies 3.4
Active Learning 3.3

Transferable skills

Management of Personnel Resources 3.9
Coordination 3.6
Judgment and Decision Making 3.5
Time Management 3.5
Social Perceptiveness 3.4
Complex Problem Solving 3.4
Instructing 3.3
Service Orientation 3.3
Systems Analysis 3.3

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

Example Category
Adobe Acrobat Document management software Hot technology
Autodesk AutoCAD Computer aided design CAD software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Computerized maintenance management system CMMS Facilities management software
Distributed control system DCS Industrial control software
Employee scheduling software Calendar and scheduling software
Human machine interface HMI software Industrial control software
Inventory control software Inventory management software
Web browser software Internet browser software

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.

E-Mail 5.0
Face-to-Face Discussions with Individuals and Within Teams 4.9
Telephone Conversations 4.9
Health and Safety of Other Workers 4.8
Work With or Contribute to a Work Group or Team 4.8
Work Outcomes and Results of Other Workers 4.7
Contact With Others 4.6
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.6
Frequency of Decision Making 4.6
Indoors, Environmentally Controlled 4.6
Impact of Decisions on Co-workers or Company Results 4.5
Freedom to Make Decisions 4.4
Indoors, Not Environmentally Controlled 4.4
Importance of Being Exact or Accurate 4.3
Determine Tasks, Priorities and Goals 4.1
Exposed to Hazardous Conditions 4.1
Exposed to Very Hot or Cold Temperatures 4.1
Outdoors, Exposed to All Weather Conditions 4.0
Time Pressure 4.0
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.0
Consequence of Error 4.0
Exposed to Contaminants 3.9
Coordinate or Lead Others in Accomplishing Work Activities 3.9
Deal With External Customers or the Public in General 3.6
Pace Determined by Speed of Equipment 3.6
Importance of Repeating Same Tasks 3.5
Outdoors, Under Cover 3.5
Written Letters and Memos 3.5
Exposed to High Places 3.5
Conflict Situations 3.4
Degree of Automation 3.4
Spend Time Sitting 3.3
Exposed to Hazardous Equipment 3.1
Physical Proximity 3.1
Level of Competition 3.0
Dealing With Unpleasant, Angry, or Discourteous People 2.9
Exposed to Minor Burns, Cuts, Bites, or Stings 2.9
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.9
In an Enclosed Vehicle or Operate Enclosed Equipment 2.8
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 2.7

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Business, Management, Marketing, and Related Support Services , Engineering , Engineering/Engineering-Related Technologies/Technicians , Health Professions and Related Programs . 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.

Bachelor's Degree 45.4%
Some College Courses 19.1%
Associate's Degree (or other 2-year degree) 14.8%
High School Diploma 14.0%
Post-Baccalaureate Certificate 6.6%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Enterprising 5.4
Conventional 5.1
Realistic 4.6
Investigative 3.7
Social 1.8
Artistic 1.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$75k10th$95k25th$121kMedian$156k75th$197k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
242k2024247k2034 (proj.)+1.9% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $74,900
25th percentile $94,620
Median (50th) $121,440
75th percentile $156,330
90th percentile $197,310
People employed 234,380

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 11-3051), 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
Manufacturing · Sector 174,750 $119,930
Wholesale Trade · Sector 15,530 $111,080
Professional, Scientific, and Technical Services · Sector 10,730 $142,420
Management of Companies and Enterprises · Sector 7,440 $155,630
Machine Shops · National industry 4,590 $101,690
Administrative and Support and Waste Management and Remediation Services · Sector 3,600 $106,340
Utilities · Sector 3,470 $157,180
Mining, Quarrying, and Oil and Gas Extraction · Sector 3,250 $132,380
Construction · Sector 2,540 $114,990
Transportation and Warehousing · Sector 2,460 $114,660
Engineering Services · National industry 2,130 $128,080
Other Services (except Public Administration) · Sector 2,080 $95,270

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
Machine Shops · National industry 11.62× 4,590
Manufacturing · Sector 9.01× 174,750
Fossil Fuel Electric Power Generation · National industry 8.67× 940
Nuclear Electric Power Generation · National industry 6.91× 390
Utilities · Sector 3.94× 3,470
Mining, Quarrying, and Oil and Gas Extraction · Sector 3.73× 3,250
Jewelry and Silverware Manufacturing · National industry 3.63× 110
Testing Laboratories and Services · National industry 3.17× 820

Part of the Advanced Manufacturing , Management & Entrepreneurship and Supply Chain & Transportation career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Biofuels Production Managers sits at the 48th percentile of AI task-overlap and the 93rd percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Biofuels Production Managers Biofuels Processing Technicians Hydroelectric Plant Technicians Gas Plant Operators Biofuels/Biodiesel Technology and Product Development Managers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Biofuels Production 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.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 72nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Biofuels Production Managers show 48th-percentile AI task overlap — and about 17,100 annual U.S. openings

  • Biofuels Production Managers rank in the 48th 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 17,100 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 (+1.9%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $121,440, across about 234,380 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Biofuels Production Managers show 48th-percentile AI task overlap — and about 17,100 annual U.S. openings

• Biofuels Production Managers rank in the 48th 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 17,100 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 (+1.9%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $121,440, across about 234,380 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Biofuels Production Managers". https://singulariki.com/roles/role-11-3051-03
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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Biofuels Production 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; 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-11-3051-03

APA

Singulariki. (2026). Biofuels Production Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3051-03

BibTeX
@misc{singulariki-role-11-3051-03,
  title  = {Biofuels Production Managers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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-11-3051-03}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

Embed this chart

Paste this into any page. It links back here for attribution.