2 дня назад
Tech Lead - Supply Chain, Center of Excellence (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Tech Lead - Supply Chain, Center of Excellence (AI) (Supply Chain/Knowledge Graph/AI): Building integrated supply chain solutions around knowledge graphs, generative AI agents, and command-center UX with an accent on industrial data modeling, deterministic AI skills, and enterprise architecture. Focus on designing typed and temporal data models, evaluating agentic tooling, debugging complex graph queries, and translating technical value into executive business cases.
Location: Europe
Company
builds industrial AI and data solutions for digital transformation, combining knowledge graphs, AI agents, and user interfaces to improve industrial operations.
What you will do
- Own the technical direction of the Integrated Supply Chain Center of Excellence across source, make, and deliver processes.
- Align high-impact supply chain use cases and deploy them as customer solutions or demonstrations.
- Lead customer sessions for industrial information and knowledge-graph data modeling, including complex hierarchies and temporal relationships.
- Guide enterprise architecture using ’s graph, AI, and UI stack with integrations to Snowflake, Databricks, ERP, MES, WMS, and TMS systems.
- Design structured AI skills with fixed parameters, guardrails, deterministic anchors, and staged evaluation frameworks.
- Support architecture reviews, partner enablement, documentation, and executive value cases covering orders at risk, delay penalties, and landed costs.
Requirements
- Deep knowledge of industrial supply chain planning and execution, including connections to production, quality, and maintenance; familiarity with ISA-95/88 and SCOR.
- 5–7 years of experience in industrial supply chain planning, logistics, or inventory, plus 5–7 years in pre-sales, solution architecture, or enterprise software delivery.
- Experience designing industrial information or knowledge-graph data models and integrating structured and unstructured enterprise data.
- Hands-on proficiency in Python, TypeScript, and React, with experience using ADRs, automated testing, and CI/CD.
- Experience with systemic AI and testing practices, tool routing, multi-stage evaluation, root-cause debugging, and edge-case handling.
- Strong client-facing communication skills, familiarity with modern data platforms and agentic AI/LLM workflows, and a bachelor’s degree or equivalent practical experience.
Nice to have
- Experience working in high-growth startup or scale-up environments.
Culture & Benefits
- International organization with 60 nationalities and a focus on diversity, equality, and inclusion.
- Flat structure with direct access to decision-makers.
- Opportunity to work on ambitious industrial digitalization projects using modern AI and data technologies.
- Private health services, broad physical and mental health support, and access to an on-site gym.
- Subsidized canteen lunch and an on-site coffee bar.
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