Principal, Product Owner, AI Technology F/H

Artificial intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within the Schneider Electric AI Hub, we combine our long-standing expertise in manufacturing and specific domains with cutting-edge innovations in artificial intelligence to promote smarter decision-making, agility, and decarbonization.

The SE AI platform is a cornerstone of this transformation, enabling teams across the company to build, deploy, and scale AI solutions efficiently.

Your role :

No great AI without great data: We are looking for a Product Owner (Data Stream) to own the backlog and outcomes of data capabilities for the various flavors of the AI Platform (Azure and AWS, with Databricks as the backbone).

You will productize managed services and reusable artefacts, drive adoption namely in the context of AI Democratization, and strengthen vendor governance with Databricks.

This role requires a strategic and technically fluent leader who can work transversally across teams, align diverse stakeholders, and translate user needs into scalable platform features.

It's an opportunity to shape a high-impact product used across the company and gain visibility at the intersection of AI technology, Data and business transformation.

The role is embedded in an Agile SAFe environment and requires close collaboration with technical experts, architects and scrum masters, providing strong transversal leadership to align product vision, priorities, and value delivery across Agile Release Trains.

Your responsibilities :


* Product Vision & Value
+ Define and evolve the AI Platform products and associated services related to your scope, ensuring high operational quality, reliability, and usability for internal customers.
+ Own the product vision, positioning, and service definition of the AI Platform, beyond individual features.
+ Define success metrics and track outcomes (adoption, usage, reliability, impact) to drive value-based prioritization.
+ Ensure alignment between product vision, platform architecture, and delivery priorities.



* Backlog Ownership & Product Strategy
+ Own and prioritize the backlog for Data and Platform as a Service capabilities within the AI Platform.
+ Translate user needs (data engineers, AI engineers, engineering managers) into clear, high-value backlog items.
+ Lead product discovery to validate problems and solutions, balancing user value, technical feasibility, and scalability.
+ Manage trade-offs between innovation, delivery, quality, and product/technical debt.
+ Contribute to PI planning and backlog refinement in line with SAFe principles.



* Cross-functional & Transversal Leadership
+ Collaborate closely with engineering, architecture, data governance, security, and compliance teams to deliver scalable and sustainable platform capabilities.
+ Lead transversal initiatives and ...