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Ford Motor Company
Ford Motor Company
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Ford Motor Company ir Amerikas Savienotajās Valstīs bāzēts automobiļu ražotājs, kura vēsture aizsākās 1903. gadā. Papildus transportlīdzekļu izstrādei un ražošanai uzņēmums paplašina savu darbību mobilitātes pakalpojumu, digitālās pieredzes un programmatūras jomā. Ford darbība ietver arī ilgtspējas iniciatīvas un vides mērķu sasniegšanu, atspoguļojot pieeju, kas apvieno transportu, inovācijas, ietekmi uz kopienu un atbildīgu uzņēmējdarbības praksi.
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Vakances uzņēmumā

Ford MP&L AI and Digital Transformation Manager

Lead Ford’s manufacturing planning and logistics transformation with AI, analytics, and automation. Advance predictive supply chain optimization and digital capabilities across the global MP&L organization.

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AWSAzureGoogle Cloud PlatformIoTPMPPythonSQLTableau

Apraksts

  • Set the MP&L AI and innovation roadmap in line with enterprise goals.
  • Select and deliver AI, machine learning, generative AI, computer vision, IoT, and digital twin projects to improve inventory, bill of materials health, freight costs, supplier risk, material handling, and operations.
  • Define KPIs to measure business value, return on investment, and operational efficiency.
  • Assess emerging technologies, pilot ideas, and expand successful solutions across the organization.
  • Build predictive and prescriptive analytics for demand forecasting, inventory, material shortages, supplier risk, and logistics.
  • Work with Supply Chain, Purchasing, Product Development, Manufacturing, Quality, Finance, IT, GDIA, and external partners.
  • Use governance forums to oversee innovation work, track business benefits, and support ongoing improvement.
  • Encourage innovation through idea generation, workshops, sharing proven practices, and capability development.
  • Build relationships with technology startups, university research labs, supply chain software vendors, and industry groups.
  • Lead change management and training across the global MP&L organization.
  • Use Lean, Six Sigma, and digital tools to remove waste, reduce carbon emissions, and strengthen supply chain resilience.

Prasības

  • Bachelor’s degree in engineering, supply chain, operations research, computer science, data analytics, information technology, or a related field; a master’s degree is preferred.
  • 8–12 years of progressively responsible experience in supply chain, material planning, and logistics.
  • Experience delivering AI, analytics, automation, or digital transformation initiatives in manufacturing or automotive.
  • Track record of taking AI, machine learning, or advanced analytics projects from concept to production with measurable business impact.
  • Certifications such as Certified in Production and Inventory Management or Certified Supply Chain Professional are preferred.
  • Project Management Professional (PMP) certification is preferred.
  • Lean Six Sigma Green Belt or Black Belt certification is preferred.
  • AI or data science certifications, such as Azure AI Engineer or AWS Machine Learning Specialty, are preferred.
  • Practical knowledge of machine learning algorithms, optimization modeling, deep learning, computer vision, and generative AI applications.
  • Expertise with SAP S/4HANA, warehouse management systems, transportation management systems, and material requirements planning.
  • Familiarity with AWS, Azure, or Google Cloud Platform; Tableau or Power BI; SQL; and Python or R.
  • Exposure to IoT sensors, RFID tracking, digital twin simulation tools, autonomous mobile robots, and edge AI.
  • Experience in project management, stakeholder engagement, change leadership, Agile environments, and cross-functional collaboration.
  • Ability to turn operational challenges into AI technical roadmaps.
  • Ability to influence stakeholders ranging from plant floor operators to executive leaders.
  • Strong storytelling and executive presentation skills.
  • An external-facing profile or resume is required when applying.

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