Transformation Function Builder

Logitech is seeking a Transformation Function Builder to join their team. As a builder, you will design and build data analytics systems, dashboards, and AI-enabled tools/agents that solve real supply chain and operational problems.

Your Contribution:

• Build, not just analyze. Design and build data analytics systems, dashboards, and AI-enabled tools/agents that solve real supply chain and operational problems.
• Own edge/new-system builds. Prototype and stand up new systems or workflows at the "edge" of existing infrastructure.
• Learn the domain fast. Understand supply chain processes deeply enough to spot where data/AI can remove friction.
• Do real due diligence on projects. Evaluate proposed transformation initiatives critically.
• Build sharp business cases. Translate technical possibility into a business case leadership can approve in one meeting.
• Present and influence. Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Your Qualifications and Skills:

• Proven hands-on ability to build things , not just query/report on data.
• Track record of taking a project from ambiguous problem statement to working prototype/solution with minimal hand-holding.
• Strong analytical rigor.
• Excellent written and verbal communication in English.
• High learning agility.
• Bias toward action and ownership.

The Kind of Problems You'll Own:

• Component risk automation.
• Contract manufacturer risk visibility.
• Should-cost modeling for components and assemblies.
• Demand–capacity signal matching across CMs.
• NPI sourcing readiness tracking.
• Alternate/second-source qualification tracking.
• Landed cost and tariff exposure modeling.
• Supplier and CM performance scorecarding.

What Success Looks Like (First 6–12 Months):

• At least one of the sourcing problems above taken from a rough idea to a working system in active use.
• The transformation team can point to project decisions backed by this person's due diligence and business case work.
• Leadership trusts this person's judgment on technical feasibility and business impact.