# Quality Control Systems Managers

> Plan, direct, or coordinate quality assurance programs. Formulate quality control policies and control quality of laboratory and production efforts.

- **SOC code:** 11-3051.01
- **Canonical URL:** https://singulariki.com/roles/role-11-3051-01
- **Also known as:** Quality Assurance Director (QA Director), Quality Assurance Manager (QA Manager), Quality Control Manager (QC Manager), Quality Manager, Product Quality Director, Quality Control Supervisor (QC Supervisor), Quality Director, Quality Systems Director
- **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):
- Stop production if serious product defects are present.
- Review and update standard operating procedures or quality assurance manuals.
- Monitor performance of quality control systems to ensure effectiveness and efficiency.
- Review quality documentation necessary for regulatory submissions and inspections.
- Analyze quality control test results and provide feedback and interpretation to production management or staff.
- Verify that raw materials, purchased parts or components, in-process samples, and finished products meet established testing and inspection standards.
- Oversee workers including supervisors, inspectors, or laboratory workers engaged in testing activities.
- Direct product testing activities throughout production cycles.
- Instruct staff in quality control and analytical procedures.
- Direct the tracking of defects, test results, or other regularly reported quality control data.
- Participate in the development of product specifications.
- Identify quality problems or areas for improvement and recommend solutions.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Production and Processing _(knowledge)_
- Problem Sensitivity _(ability)_
- Education and Training _(knowledge)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Quality Control Analysis _(transferable_skill)_
- Judgment and Decision Making _(transferable_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Written Expression _(ability)_
- Deductive Reasoning _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Chemistry _(Specialized Skill)_
- Writing _(Common Skill)_
- Active Listening _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Systems Analysis _(Specialized Skill)_
- Active Learning _(Common Skill)_
- Mathematics _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Atlassian JIRA _(hot technology)_
- Extensible markup language XML _(hot technology)_
- Linux _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft SQL Server _(hot technology)_
- Microsoft Visio _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 60th 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):** 85th percentile (High) — 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-11-3051-01_