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Remote SIOP Data Model Specialist

Jobgether
Posted 4 months ago, valid for 13 days
Location

Colorado Springs, El Paso 80901, CO

Salary

$120,000 - $140,000 per year

Contract type

Full Time

Health Insurance
Paid Time Off

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Sonic Summary

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  • We are seeking a SIOP Data and Model Specialist for a remote position, focusing on enhancing supply chain processes through technical implementations and expertise.
  • The role requires 6–10+ years of experience in planning science, particularly in forecasting and inventory optimization.
  • Candidates should have a Bachelor’s degree in Industrial Engineering, Operations Research, or a related field, with an MS preferred.
  • The salary for this position ranges from $120,000 to $140,000, along with an annual discretionary bonus and comprehensive benefits.
  • This is an opportunity to significantly impact forecasting accuracy and inventory modeling while collaborating with various stakeholders.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a SIOP Data and Model Specialist - REMOTE. In this role, you will play a crucial part in enhancing supply chain processes by bridging technical implementations and supply chain expertise. Your work will significantly impact forecasting accuracy and inventory modeling, while collaborating with various stakeholders to establish data governance and planning frameworks. You will lead the transition from traditional spreadsheets to innovative, policy-driven processes, ensuring that operational effectiveness is prioritized and metrics are met. The ideal candidate will have a strong background in inventory management and operational workflows, which is essential for building scalability in planning solutions. Join us to make a meaningful difference in the effectiveness and resilience of supply chain operations.

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Accountabilities
  • Approve/deny changes to planning templates and dbt models.
  • Lead migration from Excel to governed dbt frameworks in Snowflake.
  • Own integrations with NetSuite and Salesforce.
  • Build and manage dbt sandbox for scenario analysis.
  • Train planners and establish certification for template/dbt usage.
  • Standardize master data for SIOP with Product Data Integrity.
  • Collaborate with analytics engineers to develop forecast models.


Requirements
  • Bachelor’s degree in Industrial Engineering, Operations Research, or related field (MS preferred).
  • 6–10+ years experience in planning science, particularly in forecasting and inventory optimization.
  • Proficient in SQL and dbt, with advanced Excel skills.
  • Experience with product ownership of analytics/plan platforms.
  • Demonstrated change leadership with measurable FVA.
  • Experience in cross-functional process improvement teams.


Benefits
  • Competitive salary range of $120,000 - $140,000.
  • Annual discretionary bonus based on individual and company performance.
  • Comprehensive health insurance and mental health options.
  • 401(k) plan with company contribution.
  • Paid time off and parental leave.
  • Access to best-in-class professional development programs.


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Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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By applying, a Sonicjobs account will be created for you. Sonicjobs's Privacy Policy and Terms & Conditions will apply.

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