Level

Logitech

Sourcing Transformation Analyst – Data & AI Systems

Logitech is hiring a Sourcing Transformation Analyst – Data & AI Systems. Level rates it ; you can apply on Logitech.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include AI agents.
  • Level lists 219 other open roles at Logitech.

AI in this role

ai-agents

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.

The Role:

As we scale our transformation agenda, speed of execution has become a competitive lever in its own right. The teams that win are the ones that can go from insight to working tool in weeks, not quarters. We're building that capability directly into the transformation function — a dedicated builder who can turn our sourcing and supply chain problems into deployed data and AI systems, so good ideas convert into operating advantage instead of staying on a whiteboard.

This is not a data-reporting role, and it's not a traditional business-analyst role. This is a builder who also understands the business well enough to know what's worth building, and can defend it in front of leadership.



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 — using modern platforms and AI tooling (LLM-based tools, automation platforms, low-code/no-code + custom scripting as needed) to move quickly on transformation priorities.
  • Own edge/new-system builds. Prototype and stand up new systems or workflows at the "edge" of existing infrastructure — solutions built fast, tested against real problems, and refined based on what actually proves valuable.
  • Learn the domain fast. Understand supply chain processes deeply enough to spot where data/AI can remove friction. We don't expect a supply chain veteran on day one — we expect someone sharp enough to get there in weeks, not years.
  • Do real due diligence on projects. Evaluate proposed transformation initiatives critically — feasibility, data readiness, ROI, risk — and separate what's genuinely valuable from what's just exciting.
  • Build sharp business cases. Translate technical possibility into a business case leadership can approve in one meeting: clear problem, clear solution, clear numbers, clear risk.
  • Present and influence. Communicate findings and recommendations clearly to both technical and non-technical stakeholders, including senior leadership. This includes pushing back diplomatically when an idea doesn't hold up.



Your Qualifications and Skills:

Must-Have

  • Proven hands-on ability to build things — not just query/report on data. Comfortable with SQL, Python (or similar), and modern AI/LLM tooling for building analytics or automation solutions.
  • Track record of taking a project from ambiguous problem statement to working prototype/solution with minimal hand-holding.
  • Strong analytical rigor — can evaluate a project's business case and poke holes in weak logic (yours or someone else's).
  • Excellent written and verbal communication in English; able to present confidently to senior stakeholders.
  • High learning agility — genuinely excited to pick up domain knowledge (supply chain) quickly rather than needing it spoon-fed.
  • Bias toward action and ownership; comfortable working independently and building end-to-end, since this role carries direct build responsibility rather than routing execution through a separate development team.

Nice-to-Have

  • Prior exposure to supply chain, manufacturing, or operations environments.
  • Experience with cloud data platforms and/or workflow automation tools.
  • Experience building and shipping AI agents/copilots for internal business use cases (not just experimenting with them).



The Kind of Problems You'll Own

We manage production through a network of contract manufacturers and a multi-tier component supply base. Examples of the problem space (not an exhaustive list — we expect you to find more):

  • Component risk automation (single-source/EOL flagging, PCN tracking)
  • Contract manufacturer risk visibility (financial health, capacity, concentration risk)
  • 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

You won't be handed a finished spec for these — part of the job is scoping which of these (or which adjacent problems) are worth solving first, and making that case.


What Success Looks Like (First 6–12 Months)

  • At least one of the sourcing problems above (or a comparable one) taken from a rough idea to a working system in active use.
  • The transformation team can point to project decisions ("we killed X, we prioritized Y") backed by this person's due diligence and business case work.
  • Leadership trusts this person's judgment on technical feasibility and business impact, and brings them into project reviews as a default, not an exception.



#LI-KS1

/104

Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.

Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!


We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.

All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.

How we rate this

Sourcing Transformation Analyst – Data & AI Systems at Logitech rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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