Ford Motor Company
Ford Motor Company
„Ford Motor Company“ yra Jungtinėse Amerikos Valstijose veikianti automobilių gamintoja, kurios istorija prasidėjo 1903 metais. Be transporto priemonių kūrimo ir gamybos, bendrovė plečia dėmesį į judumo paslaugas, skaitmeninę patirtį ir programinę įrangą. „Ford“ taip pat vykdo tvarumo iniciatyvas ir siekia aplinkosaugos tikslų, atspindėdama požiūrį, siejantį transportą, inovacijas, poveikį bendruomenei ir atsakingą verslo praktiką.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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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