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All Dataleo news, jobs, analyses and tutorials around ERP in Supply Chain and Operations.

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Hiring

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HybridFull-time· Permanent· Senior / Cadre2026-06-01

Accelerator Digital Product Owner — Manufacturing & Supply Chain AI

Sanofi Lyon

50-80k€

AI Agents Product Ownership Data Science Data Engineering ERP MES

The Dataleo angle

This job is a strong market signal for AI in Manufacturing and Supply Chain Planning. Sanofi is not only hiring for generic digital product management; it is looking for a Product Owner able to orchestrate AI agents inside real industrial workflows, across planning, operations, quality and performance.

The most interesting element is the blend of AI Agents, industrial systems and governance. In practice, this is the profile many large manufacturers will need: someone who understands the decision architecture between ERP, MES, QMS, planning tools and AI copilots, while remaining accountable for adoption, value and compliance.

News

News (1)

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SAP Positions Joule Agents and Assistants as a New AI Layer for Supply Chain Management

High

Planning·2026-06-03

SAP Positions Joule Agents and Assistants as a New AI Layer for Supply Chain Management

SAP is positioning Joule Agents and Joule Assistants as context-aware AI capabilities for Supply Chain Management. The company describes these assistants as tools designed to understand business context and accelerate outcomes across logistics, manufacturing, product design, planning, and asset service workflows.

The SAP page highlights several supply chain-focused capabilities, including Logistics Assistant, Manufacturing Assistant, Product Design Assistant, Planning Assistant, and Asset & Service Assistant. This reflects SAP’s broader move to embed AI Agents directly into enterprise workflows rather than treating AI as a separate productivity layer.

More details are available on the official SAP page.

The Dataleo angle

This is an important signal for Supply Chain Planning and enterprise operations teams because it confirms that the AI assistant layer is moving inside core business applications. SAP is not only promoting generic AI productivity; it is connecting Joule to operational domains where decisions depend on ERP data, process context, and business rules.

For supply chain companies, the practical question is how these agents will interact with existing planning architectures, including SAP IBP, ERP workflows, logistics systems, manufacturing execution, and asset management. The opportunity is faster analysis and better decision support; the risk is uncontrolled automation without clear AI Governance, permissions, and human-in-the-loop validation.

SAP

Editorial