Intern-Product Lifecyle Management
Shakopee, MN, United States
- Engineering
- Contract
- product lifecycle management
- portfolio optimization
- data analysis
The Product Lifecycle Management Intern will support data analysis, portfolio optimization, and process improvements across product lifecycle activities. Responsibilities include analyzing product performance and pricing discrepancies, assisting in installed base planning, and helping with legacy product rationalization. The intern will also aid in data preparation for a new website launch and collaborate on forecasting processes.
The AI Datacenter Product Lifecycle Management Intern – Summer 2026 Scope of Work
The PLM intern will support strategic and operational initiatives across the product lifecycle, with a focus on data analysis, portfolio optimization, and process improvement. Key areas of contribution include:
Product Portfolio Analysis:
Evaluate product performance using the 80/20 rule to identify high-impact SKUs and low-value “cats and dogs.” Recommendations will support smoother OBS transitions and portfolio simplification.
Pricing Discrepancy Investigation:
Analyze Tier 1 and direct pricing versus actual purchase history over the past few years. Identify inconsistencies and unused SKUs to inform pricing strategy and contract clean-up.
Installed Base Planning (IBP) Support:
Assist one or more PLMs in navigating the IBP process, including data gathering, forecasting alignment, and documentation. This will help standardize planning efforts across teams.
Cable Forecasting & Clean-Up:
Collaborate with Damon’s cable team to streamline cable data and forecasting processes. The intern will help define a repeatable method for cross-functional alignment.
Legacy Product Line Rationalization:
Support data center portfolio efforts by helping clean up legacy product lines and marketing materials. This includes updating documentation and identifying obsolete items.
Website Data Preparation:
With a new website launch underway, the intern may assist in organizing and validating product data to ensure accurate representation online.




