Benjamin Vigier

I’ve spent most of my career helping people and systems work better together. From printing shops to semiconductor supply chains, I’ve led teams, coached colleagues, and built processes that actually make life easier.

My work has taken me across Europe, managing distributed teams and projects that cross languages, cultures, and time zones.

I am now deepening that experience through a Master’s in Logistics and Supply Chain Management at the University of Luxembourg, part of the MIT SCALE Network, where I focus on data-driven decisions that still make sense for people.

If you are working on something complex and could use a clear head and steady hand, let’s talk.

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I help operations run smoother with clear data and calm leadership.

  • Network design, inventory and flow optimization.
  • Plant and supplier coordination across EU time zones.
  • Decisions that balance cost, service and people.
  • Comfortable with variability, buffers and trade-offs.
  • Master’s at the University of Luxembourg, part of the MIT SCALE Network.

Teams first. Clear expectations. Calm delivery.

  • Team lead and mentor with practical feedback.
  • Comfortable remote and hybrid across cultures.
  • French and English fluent, working German and Polish basics.
  • Collaborative, low-ego, patient with details.
  • Outside work: travel, good food, old cars and a certain dog.

My first craft: print, packaging and labeling at scale.

  • End-to-end label strategy, compliance and traceability.
  • Artwork workflows, color management, vendor selection.
  • Materials and costing with sustainability in mind.
  • Shop-floor pragmatism meets enterprise standards.
  • Rollouts across sites, training and documentation.

Service management that stays human and predictable.

  • Incident and problem management with clear SLAs.
  • Steady stakeholder comms and sensible escalation.
  • Root cause analysis and fixes that stick.
  • Enablement content and self-service for field teams.
  • Coaching teams to close loops with customers.

Enough analytics to answer the real question: so what.

  • Python for analysis and quick diagnostics.
  • Solid Excel with tidy naming and versioning.
  • Simple dashboards for decisions, not decoration.
  • Lightweight automation in labeling and ops processes.
  • Respect for governance and change control.