Supply Chain Tech - Center of Excellence

Cognite; Paris; On-site; EUR 120,000 - 160,000; Full time

Job summary

Cognite in Paris seeks a Tech Lead for the Supply Chain CoE to own the technical spine of the Integrated Supply Chain offering, including knowledge graph, generative AI agents, and command-center UX.

You will model customer supply chains, craft deterministic playbooks, and drive guardrails, testing, and staged rollouts, while engaging with engineers and executives to quantify value.

Qualifications

• Deep knowledge of industrial supply chain planning/execution, ISA-95/88 and SCOR.
• 3+ years in industrial supply chain plus 5+ years in enterprise software delivery.
• Experience designing knowledge-graph data models and integrating structured/unstructured enterprise data.
• Hands-on Python and frontend development with ADRs and CI/CD discipline.
• Systemic AI/testing mindset with multi-stage evaluation and robust debugging.
• Excellent client-facing skills for engineers to C-level audiences.
• Familiarity with Snowflake, Databricks, Spark/SQL, ERP/MES/WMS/TMS.
• Bachelor's degree or equivalent practical experience.

Responsibilities

• Align the CoE on high-impact use cases and deploy demos or customer solutions.
• Lead customer modeling sessions with knowledge-graph data modeling.
• Guide customers on graph/AI/UI stack with integration patterns.
• Turn domain expertise into deterministic AI skills with guardrails.
• Own testing frameworks for graphs and agent UI, ensure robust QA.
• Support end-to-end architecture reviews and quantify business impact.
• Create partner accelerators and maintain consistent terminology across models and AI logic.

Skills

Supply chain domain knowledge

ISA-95/88 & SCOR

Knowledge-graph data modeling

Python

TypeScript/React

CI/CD & ADRs

AI testing mindset

Client-facing skills

Snowflake & Databricks

ERP/MES/WMS/TMS integration

Enterprise solution delivery

Clarifying & grounding AI

Education

Bachelor's degree or equivalent practical experience

Tools

Snowflake

Databricks

Spark/SQL

Python

TypeScript/React

Job description

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

Ownership

As Tech Lead for the Supply Chain CoE, you own the technical spine of Cognite's Integrated Supply Chain offering — knowledge graph, generative AI agents, and command-center UX. You'll act as the subject-matter expert across source-make-deliver, modeling customers' supply chains and showing how AI/UI tools turn an integrated graph into deviation triage and resolution. You're equally comfortable in a C-level value conversation and a technical session on data models or agent skills. The bar goes beyond prompting AI: you'll engineer domain expertise into testable, deterministic playbooks — treating CoE knowledge as a rigorous system with guardrails, ground-truth testing, and staged rollouts.

The Impact you bring to Cognite

• Solution & CoE Strategy: Align the CoE on high-impact use cases (e.g., delayed inbound spare → maintenance delay → order risk) and deploy them as demos or customer solutions.
• Knowledge-Graph Data Modeling: Lead customer modeling sessions; show how domain data models and complex hierarchies absorb requirements securely and at scale.
• Data & AI Architecture: Guide customers on adopting our graph/AI/UI stack, including integration patterns (Snowflake, Databricks, ERPs) and why agents must be grounded in deterministic graph paths.
• AI Skill-System Authorship: Turn domain expertise into structured AI skills with fixed parameters, guardrails, and testable anchors, keeping data models and agent logic aligned.
• Agentic Tooling & QA: Serve as escalation point for complex graph queries and agent/UI design; own testing and evaluation frameworks, classifying failures rigorously before changing agent logic.
• Enterprise Architecture & Value Selling: Support end-to-end architecture reviews and quantify commercial impact (orders at risk, delay penalties, landed costs) for executive business cases.
• Partner Enablement & Documentation: Equip partners with reusable demos and accelerators; maintain clear, consistent terminology across models, docs, and AI logic.

Required Qualifications

• Deep knowledge of industrial supply chain planning/execution and its links to production, quality, and maintenance; fluency with ISA-95/88 and SCOR frameworks.
• 3+ years in industrial supply chain (planning, logistics, inventory) and 5+ years in pre-sales, solution architecture, or delivery for enterprise software.
• Experience designing industrial information/knowledge-graph data models (temporal relations, typed hierarchies) and integrating structured/unstructured enterprise data.
• Hands-on proficiency in Python and frontend (TypeScript/React), with strong engineering discipline (ADRs, automated testing, CI/CD).
• Systemic AI/testing mindset: optimized tool routing, rigorous multi-stage evaluation, root-cause debugging, and graceful handling of edge cases — not just prompting.
• Excellent client-facing skills, able to translate complex data/AI concepts for audiences from engineers to C-level executives.
• Familiarity with modern data platforms (Snowflake, Databricks, Spark/SQL), source systems (ERP/MES/WMS/TMS), and agentic AI/LLM workflow design.
• Prior experience in high-growth (startup/scale-up) environments; Bachelor's degree or equivalent practical experience.

Learn More About Us

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.