Digital Platforms Lead

As a fast-growing European CDMO under LBO, the group is running a major ERP transformation across 5 plants while simultaneously deploying an in-house AI automation portfolio (ARIANE) and a cloud data platform — all with a clear mandate: build and own, don’t outsource. This position exists because we need a senior technical leader to own the entire digital backbone — integration, data, AI, CRM — and defend an API-first, in-house architecture for the long run. If you’re looking for a role where you have real ownership, direct CIO access, and a modern stack to shape from day one, this is it.

Position's missions

1. Platform Engineering and Integration Ownership

• Own the n8n EAI platform as Naturacare’s strategic integration backbone (architecture, conventions, observability, SDLC)
• Define and enforce integration patterns connecting ERP, PLM, MDM, CRM and external partners via APIs; protect the architecture against post-go-live drift
• Supervise the Data Engineer on API plumbing, n8n flow delivery and EAI hardening
• Activate and orchestrate the EDI track if the customer-channel green light lands: EDI vendor leads the build, Digital Platforms owns orchestration, mappings supervision and run

2. Data Platform and Reporting

• Own the KID / Snowflake data platform as the group data backbone serving operations, supply chain, commercial and finance
• Supervise the Data Engineer on Snowflake pipelines, data quality and Power BI reporting layer
• Coordinate with the Domain Leads (Commercial & Supply Chain, Production & Planning) to align data products with the ERP core model
• Set data governance baselines (lineage, retention, access control) in coordination with the Infrastructure & Security Lead
• Sponsor the ARIANE backlog at cluster level; arbitrate priorities with the Senior PO AI between business value, technical complexity and AI governance risk
• Enforce the non-negotiable read-and-propose guardrail across every ARIANE deliverable (no silent writes by AI, human-in-the-loop on every business action)
• Steer the AI Full Stack Developer on custom ARIANE applications beyond declarative n8n workflows (front-end + back-end + LLM integration)
• Mentor the Junior PO AI (Théo, 0.6 FTE 2026 ramping to full-time Sep 2028) jointly with the CIO
• Run the AI tooling governance: model selection, prompt and context engineering standards, evaluation harness, cost monitoring

4. Cluster Leadership and Team Management

• Lead 4 L2 seats at steady state: Data Engineer, Senior PO AI, Junior PO AI, AI Full Stack Developer
• Drive the cluster’s hiring under the first-found basis pattern coordinated with the CIO (4 hires opened in parallel; sequencing driven by candidate availability, capped by the annual recruitment envelope)
• Own the cluster portion of the IT roadmap, capacity plan and budget envelope (mainly CAPEXisable across ARIANE and ERP integration tracks)

5. Application and Vendor Governance

• Own the Efficy CRM maintenance and product roadmap on the IT side; primary IT counterpart of the Commercial function
• Own MDM integration on the IT side (vendor-managed applications, integration runs in-house via n8n)
• Design and develop strategic applications
• Manage the vendor relationships for n8n, Snowflake, Efficy, PLM and PIM; evaluate, contract and renew
• Participate in the quarterly cross-cluster Architecture Council and the monthly CFO + CIO ERP steering ritual when topics intersect the Digital Platforms stack

The profile sought

Education

• Desired: Engineering degree in computer science, data engineering, software engineering or related
• Required: track record of platform ownership and AI delivery weighs more than the diploma

Experience

• 8–15 years in IT, with at least 4 years on platform engineering (integration, data, or AI) and 2 years leading a small technical team (3–6 people)
• Proven hands-on ownership of a modern integration stack (an iPaaS, an EAI platform, or equivalent; n8n exposure is a strong plus)
• Proven hands-on ownership of a cloud data platform (Snowflake, BigQuery, Databricks or equivalent) and a BI layer (Power BI or equivalent)
• Demonstrable AI product judgment: shipped at least one production AI use case with a human-in-the-loop guardrail; understands LLM cost, evaluation and prompt engineering as engineering disciplines
• Multi-site or multi-country exposure preferred; CDMO, manufacturing or regulated-industry background a plus but not required
• Comfortable in a Best-Of-Breed, API-first, composable architecture; allergic to monoliths and integrator lock-in

Technical skills

• n8n or equivalent EAI / iPaaS; API design (REST, JSON, OAuth, webhooks); eve