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Cost Deployment Intern Continuous Improvement
Job in
Arlington, Tarrant County, Texas, 76000, USA
Listed on 2026-07-07
Listing for:
International Automotive Components
Full Time, Apprenticeship/Internship
position Listed on 2026-07-07
Job specializations:
-
Business
Financial Analyst
Job Description & How to Apply Below
Job Title:
Cost Deployment Intern (Continuous Improvement)
Location:
Arlington, TX
Duration: 3 Months | Paid Full-Time (with potential extension up to 6 months based on project needs and performance)
Position Summary:The Cost Deployment Intern will support the transition from a “Fresh Eyes” approach to a structured Cost Deployment methodology. This role will act as a central coordinator, developing standard tools and guiding cross-functional teams to identify, quantify, and prioritize cost losses across the plant.
Key Responsibilities- Develop and implement Cost Deployment templates, loss trees, and matrixes
- Lead coordination across departments to collect and structure cost loss data
- Guide teams through completion of Cost Deployment matrixes and ensure consistency
- Support validation and consolidation of inputs from Operations, Maintenance, Quality, and Finance
- Translate operational losses into financial impact and identify key cost drivers
- Create visual summaries (Pareto charts, dashboards, loss breakdowns)
- Deliver a prioritized pipeline of Continuous Improvement opportunities
- Pursuing or recently completed a Bachelor's Degree in Industrial Engineering, Manufacturing, Supply Chain, Business Analytics, or related field
- Preferred:
Graduate-level student - Strong analytical and problem-solving skills
- Proficient in Excel
- Interest in Lean, Six Sigma, or Continuous Improvement
- Strong communication skills and ability to work cross-functionally
- Standardized Cost Deployment framework and templates
- Completed loss analysis with quantified cost impact
Prioritized CI project pipeline aligned to financial value - Final presentation to leadership with recommendations
This role enables a data-driven approach to cost management by connecting operational losses to financial impact, supporting better decision-making and strengthening the 2027 budget planning process.
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