COMPANY 

AGL (Africa Global Logistics) is the leading multimodal logistics operator (port, logistics, maritime and rail) in Africa. The company is now part of the MSC Group, a leading shipping and logistics company. Thanks to its expertise developed over more than a century and more than 23,000 employees mobilized in 50 countries, AGL provides its African and global clients with comprehensive, tailor-made, and innovative logistics solutions, with the ambition to contribute sustainably to the transformations of Africa. AGL is also present in Haiti and Timor. 

Would you like to have a rewarding experience in an international environment? Make an impact in a company that places Africa at the heart of its project? 

Join Ascens Kigali, AGL's IT subsidiary, the leading multimodal logistics operator on the African continent! 

CONTEXT & MISSIONS

Based 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.

PROFILE 

Training & experience 

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

Technical skills 

Good understanding of AI and Generative AI concepts (LLMs, RAG, agents, automation), with the ability to identify relevant use cases and challenge technical solutions from a product perspective.

Familiarity with AI platforms and ecosystems (e.g., Microsoft Copilot, Azure AI Foundry) and their application to enterprise use cases is a strong advantage.

Strong proficiency in product management and agile practices, including backlog management, user story writing, acceptance criteria definition, and participation in agile ceremonies (Scrum, Kanban or hybrid approaches).

Ability to translate business needs into structured functional and product requirements, and to interact effectively with technical teams (AI Engineers, Data Scientists, Architects) on solution design and delivery.

Proficiency with product and collaboration tools and ability to manage backlog, documentation, and delivery tracking.

Ability to define and monitor product performance through KPIs and dashboards (e.g., adoption, efficiency, ROI), ideally using reporting tools such as Power BI or equivalent.

Familiarity with enterprise digital tools and environments (Microsoft 365 ecosystem, SharePoint, workflows, etc.) and understanding of how AI integrates within business applications.

Understanding of automation and digital transformation tools (e.g., workflow automation, low-code platforms) and their role in enhancing operational efficiency.

Soft skills 

Strong problem-solving mindset, with the ability to break down complex business problems and translate them into practical, scalable AI solutions.

Strong ownership and delivery focus, with a “builder” mentality and the ability to move from concept to production in a fast-paced environment.

High level of curiosity and eagerness to continuously explore new technologies, tools, and approaches in the rapidly evolving field of Generative AI, with the ability to quickly experiment and learn by doing.

Ability to navigate uncertainty and ambiguity, adapt quickly to new challenges, and remain effective in a constantly evolving technological landscape.

Excellent collaboration skills, with the ability to work effectively with cross-functional teams and align technical solutions with business needs.

Clear and structured communication, with the ability to explain complex AI concepts to non-technical stakeholders and support informed decision-making.

Pragmatic mindset, with the ability to balance innovation with real-world constraints such as performance, cost, security, and scalability.

Proactive and solution-oriented attitude, with the ability to identify improvement opportunities, challenge existing approaches, and contribute to the evolution of AI Factory practices.

Strong organizational skills and ability to manage multiple priorities simultaneously in a delivery-driven environment.

ADDITIONAL NOTES

Occasional collaboration with Digital Department, IT, business teams, support teams, AGL entities across several countries may be required and MSC Group AI Expertise

Comfortable working full time at the office (no remote)

Professional English and French is a good asset.

📍 Position based in Kigali (Rwanda) at Norrsken House.