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OMP Unison Supply Modeler ( CST Hours Work - Remote)

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Remote

OMP Unison Supply Modeler ( CST Hours Work - Remote)

Ambition Consultancy Services

OMP Unison Supply Modeler ( CST Hours Work - Remote)

Skills

Supply Chain

14 days ago

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Important information


Contract type:

Permanent

Salary:

₹700,000 – ₹1,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Remote

Published on:

14 October 2026

What they need


Position Summary ( Remote - CST hours ONLY )

The Supply Modeler will define planning and optimization strategies associated with model performance, design and deploy new functionality, and update the Supply Model strategy based on business requirements from multiple stakeholders. The role will regularly evaluate and refine supply network models through data-driven improvements as OMP Unison is implemented across all warehouses in North America.

Key Responsibilities

  • Assess the current state of the supply network, understand business objectives, and design strategies to model and optimize the supply chain.
  • Partner with project CP and DPS streams and business stakeholders including Concurrent Planning, Manufacturing, Inventory Analysis, and Distribution.
  • Define updated business requirements and success criteria and reflect them in strategy templates based on market conditions.
  • Translate strategy templates and business needs into mathematical and heuristic models.
  • Use modeling and simulation tools to update model parameters such as costs and penalties and align supply network behavior with business goals.
  • Test supply network models and evaluate model performance on a regular basis.
  • Adapt models to changing market conditions and provide regular feedback through Supply Modeling governance meetings.
  • Incorporate risk-management strategies and contingency planning into supply chain modeling.

Required Experience & Skills

  • 5+ years of hands-on experience with OMP Unison systems.
  • Participation in multiple OMP Concurrent Planning (CP) and/or Detailed Production Scheduling (DPS) implementations.
  • 3+ years of experience collecting, processing, and analyzing large datasets to generate meaningful supply-chain insights.
  • Strong understanding of supply chain planning, network modeling, optimization, simulation, and model performance.
  • Ability to translate business requirements into technical modeling strategies.
  • Strong collaboration and communication skills across planning, manufacturing, inventory, distribution, and project teams.

Preferred Profile

A hands-on OMP professional who combines strong supply-chain domain knowledge with analytical and modeling capability, and who can work effectively between business stakeholders and technical project teams.

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