Model Support and Optimization Engineer

Intel Corporation

. Organize activities across planning roles to ensure timely and accurate inputs into supply chain planning systems within monthly and weekly business planning cadences .

Posted 10/8/2026full-timeUnited StatesMid-LevelSenior💰 $136,900 - $269,150 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing complex supply chain planning models, particularly in semiconductor manufacturing, while leveraging strong analytical capabilities and data storytelling to optimize processes and drive change.

Highest-signal resume keywords

Supply Chain Planning Models ManagementSemiconductor Manufacturing KnowledgeData Storytelling and VisualizationSQL for Data ExtractionLean Project Initiatives Implementation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Supply Chain MetricsRouting OptimizationCost-to-Serve AnalysisPostponement ModelsAlgorithms and SimulationsTime Series Statistical TechniquesMachine Learning AlgorithmsModel Performance AnalysisData Quality AssessmentWhat-If Scenario Planning

Soft Skills

Problem-SolvingAnalytical CapabilitiesCollaborationChange ManagementCommunication

Tools & Technologies

Blue Yonder ESPIBPSCPIntel Product Data Management

Industry Keywords

Supply Chain OptimizationData InsightsModel Quality GovernanceCross-Functional Team SupportInventory Strategy

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Organize activities across planning roles to ensure timely and accurate inputs into supply chain planning systems within monthly and weekly business planning cadences
Collaborate with Data Stewards, Operational Process Owners and IT to ensure model quality and timely POR and ad hoc solve runs
Perform post-solve output analysis and provide go/no-go recommendations after POR solve runs
Provide insights to cross-functional teams to support data and process optimization and what-if scenario planning
Troubleshoot model output anomalies and identify fixes or improvements for planning stakeholders
Troubleshoot supply chain issues and work with Solutions teams on system and business corrective actions
Govern factors impacting model behavior and outcomes, including routing setups, BOM preferences, inventory strategy, business rules and control tables
Drive planning model alignment with best practices and provide analytical support, training and facilitation for planning parameters
Ensure critical data insights are accessible and reliable for planning stakeholders
Develop and improve frameworks for assessing model quality
Develop and improve methods and processes to monitor and analyze model performance and data accuracy
Translate Intel product technology complexities into supply chain needs and requirements for Solutions teams
Work with internal and external stakeholders to meet supply chain goals

Requirements

What you’ll need

Bachelor's or master's degree in computer science, information technology, data science, operations research, industrial engineering or a related field
3+ years' experience managing complex supply chain planning models in semiconductor manufacturing, including multi-chip, multi-level DLCPs
3+ years of relevant experience building and implementing models through algorithms and simulations
Strong knowledge of semiconductor manufacturing, postponement models, network and routing optimization, cost-to-serve analysis, and supply chain metrics
Strong problem-solving and analytical capabilities, including root cause investigations
Data storytelling and visualization experience
Experience implementing lean project initiatives
Willingness to drive change
This position is not eligible for Intel Immigration sponsorship
Preferred: Knowledge of Intel's Product Data Management, Product profiles and Supply Chain Network
Preferred: 3+ years of experience in Blue Yonder ESP, IBP or SCP
Preferred: Working knowledge of SQL for data extraction and manipulations
Preferred: Demand and Supply Planning domain experience
Preferred: Time Series Statistical Techniques and ML Algorithms

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation
Hybrid work model allowing employees to split time between working on-site and off-site