Supply Chain Network Modeller

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Date: Jan 24, 2023

Location: Pune, IN

Company: AkzoNobel

We’ve been pioneering a world of possibilities to bring surfaces to life for well over 200 years. As experts in making coatings, there’s a good chance you’re only ever a few meters away from one of our products. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than 150 countries and have set our sights on becoming the global industry leader. It’s what you’d expect from the most sustainable paints company, which has been inventing the future for more than two centuries.

Job Purpose

  • Build the Supply Chain Network models (digital twins) for strategic and tactical network optimisation
  • Integrate network design models in the regional supply chain functions to ensure repeatable review of supply chain network design and configuration
  • Develop the capability for Supply Chain network design and Supply Chain strategy in AkzoNobel by setting standards for modelling and data management as well as developing people
  • Support various network optimisation projects across AkzoNobel, based on ISC and business needs

Key Accountabilities

Perform projects to develop Supply Chain network models and optimisations for Akzo Nobel

    • Identify Supply Chain and business requirements for network models
    • Data collection, validation and modelling
    • Develop and validate baseline Network model (operational and financial validation)
    • Run optimisation network scenarios (Unconstraint & constraint)
    • Run standard what-if scenarios
    • Run iterative inventory optimisation model versus optimised and selected what if scenarios
    • Report key model outcome by scenario (using PowerBI)
      • Operational changes
      • Impact on Supply chain performance indicators (tbc):
        • Lead time /service
        • Reliability / Risk
        • Supply chain costs
          • Material cost
          • Manufacturing cost
          • Outbound Logistics cost
        • Inventory
        • SLOBS
        • Carbon emission


  • Experience with supply chain network design optimisation tools
  • Master or advanced university degree. Preferably in technical, data sciences, or supply chain management
  • 5+ years supply chain management and planning experience for a multinational company
  • Proven project experience with developing regional manufacturing & distribution network models


  • Excellent knowledge of databases, data processes, IT infrastructure, data modelling, and complex analysis
  • Team player strong in creating structure, timely, high quality deliverables
  • Optimization practitioner with strong experience of strategic and tactical optimization - knowledge of the principles of optimization and how optimization is performed using software packages, familiarity with network optimization, inventory optimization, product flow analysis, operations planning, and cost to serve analysis.
  • Comfortable with data manipulation and data analytics – very strong with handling large volumes of data


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Acquiring Information

AkzoNobel is an equal opportunity employer. We are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason, we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In accordance with applicable laws, we prohibit discrimination against any applicant or employee based on any legally-recognized basis, including, but not limited to: race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, gender identity, age, national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status or any other status protected by federal, state or local law.


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Requisition ID: 25799