AI Product Owner

AI Product Owner at Schneider Electric

As an AI Product Owner, you will play a core role in AI projects within Schneider Electric, a global organization. Your focus will be on the in-depth integration of AI technology with internal business scenarios, delivering significant value to functional teams. You will maintain a clear grasp of internal team needs and the key goals of AI project implementation, acting as a critical bridge between internal functional teams and the AI development team (comprising algorithm & LLM engineers, frontend engineers, and data scientists).

This role requires a solid basic understanding of AI and architecture sorting capabilities to translate internal team needs and ideas into technical language and executable implementation paths for the AI development team. You will represent the demands of internal functional teams, communicate a clear product vision within the AI development team, and build close collaborative relationships with internal stakeholders including functional teams, technical teams, and sponsors. Collaborating with internal AI Champions, you will set project priorities, define, own, and maintain the AI project backlog, driving the strategic implementation of AI projects to maximize value output. Through effective leadership, you will establish a collaborative and win-win cross-functional team environment, taking responsibility for the entire lifecycle of AI projects—from requirement definition, technical selection, model iteration, and internal deployment to effect tracking—ensuring the achievement of project results and the realization of internal business value.

Job's Responsibilities

AI Project Value Proposition and Strategy Formulation

• Align with AI Champions to define the core value proposition and strategy of AI projects, ensuring the team achieves strategic goals.
• Dive deep into internal business scenarios, communicating extensively with internal functional teams and stakeholders to identify pain points and efficiency improvement opportunities driven by AI.
• Understand internal team business logic, AI application scenarios, internal workflow requirements, and business process evolutions.
• Lead and participate in the formulation of internal team collaboration strategies to ensure the AI product direction aligns with actual internal business needs.
• Track cutting-edge AI technology trends to identify high-value AI innovations and application scenarios in internal business processes.

AI Project Management, Deployment and Support

• Collaborate with internal functional teams to build, follow up on, and support the entire internal deployment and application process of AI projects.
• Analyze and co-build AI project business cases with internal teams, focusing on core values brought by AI technology such as internal workflow optimization, efficiency improvement, and cost reductions.
• Collect and analyze internal team needs through regular meetings, workflow interviews, and cross-team collaborations, translating them into implementable AI product requirements.
• Conduct periodic analysis of AI project internal application performance, including model application effects, business indicator achievement rates (such as accuracy, internal adoption rate), process efficiency improvements, and iterative evolution trends.
• Provide support to internal functional teams, including requirement reviews and AI tool usage training.
• Coordinate the internal launch and promotion activities of AI projects, collaborating with various internal teams to complete deployment and application.

AI Project Roadmap Management

• Create, prioritize, and communicate the AI project roadmap to stakeholders.
• Develop the AI project release plan and roadmap based on technology feasibility, computing power budget, internal resource allocation, data cycle, and other factors.
• Regularly align project progress with internal stakeholders and collect feedback from internal teams on AI Project prototypes/demos, iteratively optimizing requirements and roadmaps.

Cross-Functional Team Leadership

• Establish a collaborative environment conducive to AI project advancement through effective leadership.
• Provide transparency on AI project progress, risks, and achievements to core internal stakeholders, ensuring timely and accurate information synchronization.
• Recognize and celebrate key achievements and milestone breakthroughs of the team in AI projects to enhance team cohesion.

Qualifications

• Bachelor’s degree or above in artificial intelligence, computer science, software engineering, Electrical Engineering, or related fields.
• 4+ years of product or project development experience, or 3 years of project development experience on an Agile Team, or an equivalent combination of education and work experience.
• Solid basic understanding of AI, familiar with AI technology stack (such as machine learning, deep learning, large language models (LLMs), Agentic AI), data processing processes, and the AI project architecture and technical implementation paths.
• Experience in the entire lifecycle management of AI projects, responsible for project results, with practical capabilities in tracking internal deployment effects and iterative optimization.
• Experience in successfully building and leading cross-functional teams in a matrix organization.
• Excellent communication, facilitation, negotiation, and coaching skills, capable of effectively connecting internal functional teams and technical teams.
• Strong results-oriented and problem-solving abilities, proficient in formulating project plans based on AI technology characteristics and internal business goals.

About Schneider Electric

Looking to make an IMPACT with your career? At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric – apply today!

Schneider Electric boasts €36 billion global revenue, +13% organic growth, and over 150,000 employees in 100+ countries, ranking #1 on the Global 100 World’s most sustainable corporations.

Schneider Electric aspires to be the most inclusive and caring company in the world, providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, with our Trust Charter serving as our Code of Conduct, demonstrating our commitment to ethics, safety, sustainability, quality, and cybersecurity. Schneider Electric is an Equal Opportunity Employer.

Key skills/competency

• AI Product Management
• Machine Learning
• Deep Learning
• Large Language Models (LLMs)
• Agile Methodologies
• Cross-functional Leadership
• Stakeholder Management
• Strategic Planning
• Data Processing
• Business Value Realization