Supply Chain Tech - Center of Excellence

Cognite; Oslo fylke; On-site; GBP 120,000 - 180,000; Full time

Job summary

Cognite is seeking a Tech Lead/Architect to own the technical spine of the Supply Chain CoE, including knowledge graph, AI agents, and a command-center UX. You will model source-to-deliver processes, translate complex data into deterministic playbooks, and drive guardrails and thorough testing.

You will converse with C-level executives and engineers alike. You will shape enterprise architecture, guide data-stack adoption (Snowflake/Databricks), and lead design sessions that turn domain knowledge

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.

Responsibilities

• Own the technical spine of Cognite's Integrated Supply Chain offering — knowledge graph, generative AI agents, and command-center UX.
• Engineer domain expertise into testable, deterministic playbooks with guardrails and ground-truth testing.
• Lead customer modeling sessions; show how domain data models and complex hierarchies absorb requirements securely and at scale.
• Guide customers on adopting our graph/AI/UI stack, including integration patterns with ERP/MES/WMS/TMS.
• Establish escalation paths for complex graph queries and agent/UI design; own testing and evaluation frameworks.
• Support end-to-end architecture reviews and quantify commercial impact for executive business cases.
• Equip partners with reusable demos and accelerators; maintain consistent terminology across models and AI logic.

Skills

Python

TypeScript/React

Knowledge graph design

AI/LLM concepts

Stakeholder communication

C-level communication

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Spark/SQL

CI/CD

Job description

Supply Chain Tech - Center of Excellence

England, United Kingdom; Europe; France; Germany; Norway (Oslo)

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.

How you’ll demonstrate Ownership

As Tech Lead/Architect 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.
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

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.