About The Position

CEVA Logistics is a top 5 global 3PL providing supply chain solutions worldwide. They offer a dynamic work environment that fosters personal growth, innovation, and continuous improvement. The company is looking for individuals to join their global team and shape the future of global trade. The AI & Innovation BPE Specialist will be an instrumental part of the Ground & Rail product Transformation Roadmap, supporting the deployment, execution, and scaling of AI use cases within the Ground & Rail scope. This role supports the delivery of Global & Regional AI initiatives, ensuring effective adoption by the Ground organization, translating business needs into measurable value, and ensuring expected ROI impacts.

Requirements

  • Bachelor’s or Master’s in Business, Engineering, Data, or related field
  • 3+ years of experience in Analytics, operations, digital transformation, or technical project management
  • Project Management
  • Understanding of AI/ML concepts (NLP, predictive models, LLMs)
  • Ability to run PoCs, MVPs, agile iterations
  • Problem-solving applied to project deployment
  • Detail-oriented with ability to manage timelines and risks
  • Fluency in English

Nice To Haves

  • Certifications in AI, Data, Agile or Project Management
  • Experience in Transport, Logistics related industry
  • Delivered process improvement project
  • Knowledge of AI governance
  • Capacity to Translate business needs into AI requirements
  • Knowledge of Process Improvement method (Lean Six sigma certification or exposure)
  • Process mapping experience and identifying inefficiencies

Responsibilities

  • Support delivery of Global AI initiative within the Ground region & local scope
  • Work within the Global BPE team, support Global Innovation product manager, data teams, IT, Innovation, and business stakeholders to ensure seamless delivery
  • Facilitate and coordinate PoCs, MVPs, pilots, and scaling activities ensuring timely and value-driven outcomes for AI use-cases to support the Innovation roadmap
  • Lead or support the end-to-end execution of AI use cases identified by the region, using structured governance frameworks (ideation → framing → build → test → deploy)
  • Drive adoption of AI solutions through training, communication, and feedback loops
  • Monitor performance of deployed AI solutions and escalate issues for resolution
  • Act as a connector between SMEs, analysts, engineers, and IT; facilitate workshops
  • Track KPIs, benefits, cost savings, and user satisfaction; report to leadership

Benefits

  • Genuine culture of reward and recognition
  • Opportunities for employees to grow and develop
  • Challenging career opportunities
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