AGL transport & logistics - AI Product Owner M/F

MISSIONSJOB FUNCTION & KEY RESPONSIBILITIESBased at the AGL Expertise Center, you will join the AI Factory within the Digital & Innovation Department as an AI Product Owner.Your mission will be to design and drive AI products by identifying high-value use cases, redesigning business processes with AI capabilities, and ensuring their successful delivery, adoption, and measurable impact at scale.As part of the AI Factory, your responsibilities will include:• Identify and qualify AI use cases with business teams, analyze processes, and translate needs into clear and actionable product requirements rooted in real operational challenges.• Analyze and redesign business processes to identify where AI (LLMs, agents, automation) can drive tangible efficiency and transformation.• Own and continuously prioritize the product backlog, balancing business value, feasibility, data availability, and delivery constraints to maximize impact.• Drive end-to-end delivery of AI use cases, coordinating cross-functional teams (AI Engineers, Data Scientists, Architects, MLOps) and ensuring alignment with timelines, scope, and expected outcomes. • Lead validation phases with business stakeholders (UAT), collect feedback, challenge solutions, and ensure delivered products effectively solve real business problems. • Prepare and coordinate releases, contribute to rollout strategies, and support adoption through communication, training, and interaction with end users.• Monitor product performance and make data-driven decisions, balancing key AI trade-offs such as quality, performance, cost, and reliability.• Ensure alignment with AI Factory governance, lifecycle, and standards, while acting as the voice of the business throughout the product lifecycle.EDUCATION & EXPERIENCE REQUIRED • Bachelor's or Master's degree in Business, Engineering, Information Systems, Data, or a related field.• Minimum of 3 years of experience in product ownership, project management, business analysis, or digital transformation, with a track record of delivering end-to-end initiatives. • Proven experience working at the interface between business stakeholders and technical teams, with the ability to translate operational needs into structured requirements and delivered solutions. • Experience identifying improvement opportunities in operational processes and driving automation or digitalization initiatives is strongly valued. • Exposure to AI, data, or analytics products is a strong advantage, with an understanding of how AI can be applied to real business use cases. • Experience in managing complex or cross-functional projects in a multi-site or international environment is highly desirable. • Strong ability to engage with senior stakeholders and operate in a fast-paced, evolving environment, balancing strategic thinking and delivery execution