Data & Systems Coordinator - R&D/New Product Development

Milliken and CompanySpartanburg, SC

About The Position

The Data & Systems Coordinator supports new product development efforts for the Performance Colorants & Ingredients business unit within the Polymer Solutions Strategic Business Unit. This role is responsible for ensuring the integrity, structure, and usability of project data across the R&D New Product Development portfolio. The role serves as the primary administrator and subject matter expert for project data systems, including PowerSteering, and enables effective decision-making by ensuring project data is complete, accurate, and consistent. The position also supports stage-gate governance by ensuring all deliverables are validated, structured, and ready for key decisions.

Requirements

  • Bachelor’s degree required
  • Strong data integrity mindset
  • Experience with systems administration
  • Analytical and reporting skills
  • Process and governance orientation
  • Ability to influence without authority
  • Strong communication skills and attention to detail
  • Experience with PowerSteering or similar project tracking systems
  • Advanced Excel and PowerPoint skills
  • Experience with dashboards (Power BI preferred)

Nice To Haves

  • 2+ years of industry experience
  • Previous experience in systems administration
  • Experience in R&D or product development preferred

Responsibilities

  • Serve as primary administrator and SME for project tracking system
  • Assist project managers with project data entry
  • Maintain system structure, templates, and workflows in project and related systems
  • Support users and troubleshoot issues
  • Facilitate adoption of enhancements to the systems
  • Collaborate with SME to implement AI in project data tracking
  • Generate reports to support strategic decision making
  • Prepare data packages for recurring reviews and gate meetings
  • Ensure accuracy, completeness, and conformance to established data standards
  • Perform routine audits across systems for completeness and accuracy
  • Validate data completeness prior to gate meetings
  • Resolve data discrepancies
  • Follow up with project teams to close data gaps and escalate when required
  • Train teams on system usage and provide ongoing support
  • Reinforce accountability for data quality
  • Act as central contact for data/system questions
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