# Biofuels Production Managers

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

- **SOC code:** 11-3051.03
- **Canonical URL:** https://singulariki.com/roles/role-11-3051-03
- **Also known as:** Biofuels Production Manager, Plant Manager, Production Coordinator, Production Manager, Ethanol Operations Manager, Production Plant Manager, Biodiesel Operations Manager, Biodiesel Plant Manager
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Supervise production employees in the manufacturing of biofuels, such as biodiesel or ethanol.
- Manage operations at biofuels power generation facilities, including production, shipping, maintenance, or quality assurance activities.
- Provide direction to employees to ensure compliance with biofuels plant safety, environmental, or operational standards and regulations.
- Confer with technical and supervisory personnel to report or resolve conditions affecting biofuels plant safety, operational efficiency, and product quality.
- Review logs, datasheets, or reports to ensure adequate production levels or to identify abnormalities with biofuels production equipment or processes.
- Monitor meters, flow gauges, or other real-time data to ensure proper operation of biofuels production equipment, implementing corrective measures as needed.
- Adjust temperature, pressure, vacuum, level, flow rate, or transfer of biofuels to maintain processes at required levels.
- Provide training to subordinate or new employees to improve biofuels plant safety or increase the production of biofuels.
- Shut down and restart biofuels plant or equipment in emergency situations or for equipment maintenance, repairs, or replacements.
- Monitor transportation and storage of flammable or other potentially dangerous feedstocks or products to ensure adherence to safety guidelines.
- Draw samples of biofuels products or secondary by-products for quality control testing.
- Approve proposals for the acquisition, replacement, or repair of biofuels processing equipment or the implementation of new production processes.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Production and Processing _(knowledge)_
- Oral Comprehension _(ability)_
- Administration and Management _(knowledge)_
- Mechanical _(knowledge)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Reading Comprehension _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Management of Personnel Resources _(transferable_skill)_
- Speech Clarity _(ability)_
- Active Listening _(essential_skill)_
- Monitoring _(essential_skill)_

**Skills in demand:**
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Chemistry _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Writing _(Common Skill)_
- Time Management _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Mathematics _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Learning Strategies _(Specialized Skill)_

**Tools & technology:**
- Adobe Acrobat _(hot technology)_
- Autodesk AutoCAD _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Computerized maintenance management system CMMS
- Distributed control system DCS
- Employee scheduling software
- Human machine interface HMI software
- Inventory control software

## AI exposure & outlook

- **AI task-overlap index:** 48th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 60th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 48th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 38th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 19th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.9% growth (About average); 17.1k annual openings; 241.9k → 246.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $121,440; 234,380 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-11-3051-03_