# Brownfield Redevelopment Specialists and Site Managers

> Plan and direct cleanup and redevelopment of contaminated properties for reuse. Does not include properties sufficiently contaminated to qualify as Superfund sites.

- **SOC code:** 11-9199.11
- **Canonical URL:** https://singulariki.com/roles/role-11-9199-11
- **Also known as:** Brownfield Program Director, Brownfield Redevelopment Coordinator, Brownfields Practice Leader, Environmental Program Manager, Brownfield Program Manager, Brownfields Program Coordinator, Brownfields Program Manager, Environmental Practice Leader
- **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):
- Identify environmental contamination sources.
- Coordinate on-site activities for environmental cleanup or remediation projects to ensure compliance with environmental laws, standards, regulations, or other requirements.
- Identify and apply for project funding.
- Plan or implement brownfield redevelopment projects to ensure safety, quality, and compliance with applicable standards or requirements.
- Estimate costs for environmental cleanup and remediation of land redevelopment projects.
- Conduct quantitative risk assessments for human health, environmental, or other risks.
- Design or implement plans for surface or ground water remediation.
- Design or implement measures to improve the water, air, and soil quality of military test sites, abandoned mine land, or other contaminated sites.
- Review or evaluate environmental remediation project proposals.
- Prepare reports or presentations to communicate brownfield redevelopment needs, status, or progress.
- Inspect sites to assess environmental damage or monitor cleanup progress.
- Maintain records of decisions, actions, and progress related to environmental redevelopment projects.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Complex Problem Solving _(transferable_skill)_
- Problem Sensitivity _(ability)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Monitoring _(essential_skill)_
- Coordination _(transferable_skill)_
- Judgment and Decision Making _(transferable_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_

**Skills in demand:**
- Complex Problem Solving _(Common Skill)_
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Writing _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Negotiation _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- ESRI ArcGIS software _(hot technology)_
- Linux _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft PowerShell _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft SQL Server Reporting Services SSRS _(hot technology)_
- Microsoft Word _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 66th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 72nd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 76th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 49th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 37th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.5% growth (About average); 106.7k annual openings; 1,333.7k → 1,393.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $136,550; 630,980 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-11-9199-11_