# Hydroelectric Production Managers

> Manage operations at hydroelectric power generation facilities. Maintain and monitor hydroelectric plant equipment for efficient and safe plant operations.

- **SOC code:** 11-3051.06
- **Canonical URL:** https://singulariki.com/roles/role-11-3051-06
- **Also known as:** Plant Manager, Power Plant Superintendent, Power Plant Supervisor, Power Project Manager, Hydroelectric Station Supervisor (Hydro Station Supervisor), Demand Generation Manager, Generation Manager, Hydroelectric Generation Manager (Hydro Generation 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):
- Direct operations, maintenance, or repair of hydroelectric power facilities.
- Identify and communicate power system emergencies.
- Maintain records of hydroelectric facility operations, maintenance, or repairs.
- Perform or direct preventive or corrective containment or cleanup to protect the environment.
- Monitor or inspect hydroelectric equipment, such as hydro-turbines, generators, or control systems.
- Inspect hydroelectric facilities, including switchyards, control houses, or relay houses, for normal operation or adherence to safety standards.
- Supervise or monitor hydroelectric facility operations to ensure that generation or mechanical equipment conform to applicable regulations or standards.
- Plan or coordinate hydroelectric production operations to meet customer requirements.
- Check hydroelectric operations for compliance with prescribed operating limits, such as loads, voltages, temperatures, lines, or equipment.
- Operate energized high- or low-voltage hydroelectric power transmission system substations, according to procedures and safety requirements.
- Develop or implement projects to improve efficiency, economy, or effectiveness of hydroelectric plant operations.
- Provide technical direction in the erection or commissioning of hydroelectric equipment or supporting electrical or mechanical systems.

**Emerging tasks** (O*NET):
- Train employees in power plant operations.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Mechanical _(knowledge)_
- Public Safety and Security _(knowledge)_
- Administration and Management _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Monitoring _(essential_skill)_
- Judgment and Decision Making _(transferable_skill)_
- Problem Sensitivity _(ability)_

**Skills in demand:**
- Active Listening _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- English Language _(Common Skill)_
- Time Management _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Learning Strategies _(Specialized Skill)_
- Complex Problem Solving _(Common Skill)_
- Active Learning _(Common Skill)_
- Writing _(Common Skill)_

**Tools & technology:**
- Apache Kafka _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Active Server Pages ASP _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft SQL Server _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Database _(hot technology)_
- SAP software _(hot technology)_
- Computerized maintenance management system CMMS

## AI exposure & outlook

- **AI task-overlap index:** 50th 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):** 52nd 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/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **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-11-3051-06_