{"id":1167818,"url":"https://alion.io/job/logitech-sourcing-transformation-analyst-data-ai-systems","title":"Sourcing Transformation Analyst – Data & AI Systems","company":{"id":49770,"name":"Logitech","domain":"logitech.com","url":"https://alion.io/company/logitech","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":30,"ghost_share":0,"stale_share":0.867,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hsinchu, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":87000,"period":"year","method":null,"sample_n":3250},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-09-24T04:42:16Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T11:03:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nThe Role:\nAs 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.\nThis 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.\nYour Contribution:\n 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.\nOwn 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.\nLearn 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.\nDo 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.\nBuild sharp business cases. Translate technical possibility into a business case leadership can approve in one meeting: clear problem, clear solution, clear numbers, clear risk.\nPresent 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.\nYour Qualifications and Skills:\nMust-Have\nProven 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.\nTrack record of taking a project from ambiguous problem statement to working prototype/solution with minimal hand-holding.\nStrong analytical rigor - can evaluate a project's business case and poke holes in weak logic (yours or someone else's).\nExcellent written and verbal communication in English; able to present confidently to senior stakeholders.\nHigh learning agility - genuinely excited to pick up domain knowledge (supply chain) quickly rather than needing it spoon-fed.\nBias 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.\nNice-to-Have\nPrior exposure to supply chain, manufacturing, or operations environments.\nExperience with cloud data platforms and/or workflow automation tools.\nExperience building and shipping AI agents/copilots for internal business use cases (not just experimenting with them).\nThe Kind of Problems You'll Own\nWe 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):\nComponent risk automation (single-source/EOL flagging, PCN tracking)\nContract manufacturer risk visibility (financial health, capacity, concentration risk)\nShould-cost modeling for components and assemblies\nDemand-capacity signal matching across CMs\nNPI sourcing readiness tracking\nAlternate/second-source qualification tracking\nLanded cost and tariff exposure modeling\nSupplier and CM performance scorecarding\nYou 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.\nWhat Success Looks Like (First 6-12 Months)\nAt least one of the sourcing problems above (or a comparable one) taken from a rough idea to a working system in active use.\nThe transformation team can point to project decisions (\"we killed X, we prioritized Y\") backed by this person's due diligence and business case work.\nLeadership trusts this person's judgment on technical feasibility and business impact, and brings them into project reviews as a default, not an exception.\n/104\nAcross 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.\nLogitech 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!\nWe 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.\nAll 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.\nIf 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.","description_format":"text","description_chars":6733,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Taiwan","iso":"TW","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Hardware","Peripherals"],"lifecycle":[{"event":"open","at":"2026-09-24T04:42:16Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":49,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/logitech-sourcing-transformation-analyst-data-ai-systems","json_url":"https://alion.io/job/logitech-sourcing-transformation-analyst-data-ai-systems.json","meta":{"generated_at":"2026-09-24T13:52:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}