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Materials Planning Operations Lead

Job in Beaverton, Washington County, Oregon, 97078, USA
Listing for: eTeam
Full Time position
Listed on 2026-10-17
Job specializations:
  • Business
    Business Intelligence, AI Business & Operations
Job Description & How to Apply Below
Job Title:

Materials Planning Operations Lead

Location:

Beaverton, OR Duration: 12 months Pay Range: $(44.36- 46.67)/hr on W2 all-inclusive without benefits

Job Description:
  • Expected contract length: 12 months from start date
  • Team details & who they will work with:
    Process and operations for footwear and apparel Materials, accessories forecast
Desired Candidate Profile :
  • Minimum required years of experience: 5+ YOE Data Analyst with Supply chain experience
  • Education requirements:

    Bachelor’s degree or equivalent experience
Top must-have skills include the following:
  • Reporting for Supply chain materials planning
  • Excel
  • Comfortable taking business processes and leading improvement initiatives
Nice to have skills:
  • Understands SQL and Databricks, can tell if Ai is hallucinating dashboards/reports
  • Independent working, ambiguous environment,
Software/technical requirements:
  • Using Ai tools to make dashboards and reports
  • Previous Client/industry experience preference: yes
Who We're Looking For
  • The Materials Planning Operations Lead owns the vision and delivery of scalable tools, automated workflows, and executive-ready reporting for Client's global materials sourcing and planning functions.
  • You combine deep technical fluency in modern data platforms and AI-assisted development with a continuous improvement mindset, strong product thinking, and the ability to influence senior stakeholders through clarity, rigor, and compelling narrative.
Qualifications:
  • Bachelor's or Master's degree in Business, Data Science, Supply Chain, Engineering, or a related field; will accept any suitable combination of education, experience, and training
  • Minimum of 5+ years of experience in data analytics, analytics engineering, process improvement, or supply chain operations, with demonstrated lead or senior IC scope (owning roadmaps, standards, or cross-team initiatives)
  • Expert-level proficiency in SQL for data querying, manipulation, and pipeline development; strong Python for automation, data modeling, and application logic
  • Hands-on experience building and operating production analytics experiences in Databricks, including Databricks Apps for interactive reporting, operational dashboards, and stakeholder-facing tools
  • Proven ability to use AI-powered development environments (including Cursor and Git Hub Copilot) to design, build, and maintain business automation, analytical pipelines, and world-class reporting with high velocity and quality; you treat AI-assisted engineering as a core competency, not a novelty
  • Comfort working in Git-based collaboration (e.g., Git Hub) for version control, code review, and repeatable deployment of analytics and automation assets
  • Track record of translating complex, multi-dimensional supply chain data into clear, actionable narratives and leadership-ready materials for both technical and non-technical audiences
  • Experience leading process improvement or transformation initiatives end-to-end: discovery, design, implementation, change management, and adoption measurement
  • Experience in materials planning, strategic sourcing, or supply chain analytics is strongly preferred
What You Will Work On:
  • As the Materials Planning Operations Lead, you will be the conduit between enterprise data, automated execution, and meaningful business action.
  • You will define how Materials Sourcing and Planning teams see performance, run operations, and scale capability.
  • You will set the reporting and automation strategy for Materials Operations Excellence: prioritize the backlog, establish standards for data quality, documentation, and reusable patterns, and align deliverables to Materials Planning leadership priorities.
  • You will design, build, and operate world-class reporting and decision-support experiences using Databricks Apps and related…
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