CSH - Artificial Intelligence project manager

Business Context

Schneider Electric's strategy increasingly relies on accelerating digital, software-enabled, and recurring services to drive sustainable growth and long-term customer value.

Connected Services, including the EcoCare portfolio and outcome-based offers, are central to this ambition, combining digital platforms, analytics, software and expert services to improve customer performance, resilience, and sustainability.

The Connected Services Hubs (CSH) provide the global execution backbone that enables these services to scale consistently across regions and offers

Role Purpose

The CSH AI Lead is responsible for leading the execution, delivery, and scaling of AI-driven solutions within the Connected Services Hub (CSH).

The role focuses primarily on leveraging Microsoft Copilot and low-code AI capabilities to improve operational efficiency, consistency, and analyst experience across global hubs.

As CSH AI use cases evolve, the role may also contribute to broader AI initiatives in collaboration with Digital and AI teams, ensuring solutions remain pragmatic, value-driven, and aligned with enterprise standards.

Key Responsibilities

AI & Copilot Solution Development (Low-Code)


* Design, build, and maintain AI solutions supporting CSH operations, with a primary focus on Microsoft Copilot and Copilot Studio.


* Support use cases such as alarms handling, guided workflows, troubleshooting assistance, reporting, customer communications, and knowledge navigation.


* Translate CSH playbooks, documented processes and operating procedures, and operational rules into structured, intuitive, AI-assisted workflows.


* Where appropriate, contribute to broader AI initiatives in collaboration with Digital or AI Hub teams, ensuring alignment with CSH needs and maturity.


* Test, validate, and continuously improve AI solutions based on feedback from frontline agents and team leads.

AI Use Case Portfolio & Roadmap Management


* Own the CSH AI use-case portfolio end-to-end: ideation, qualification, prioritization, delivery, and adoption.


* Identify and assess AI opportunities across CSH activities, considering feasibility, expected value, and ROI.


* Maintain and communicate the CSH AI roadmap, aligned with operational priorities and transformation objectives.


* Facilitate use-case intake and prioritization with CSH leadership and subject-matter experts.


* Track outcomes and value realization of deployed AI use cases.

Process Mastery & Knowledge Structuring


* Rapidly learn and master CSH operational processes, including alarms workflows, country-specific variations, troubleshooting sequences, and customer communication rules.


* Work closely with SMEs and frontline agents to understand real-world execution and constraints.


* Convert complex and fragmented processes into clear, structured AI guidance that improves speed, quality, and consistency.


* Ensure AI solutions remain aligned w...