Supply Chain Data & Insights Manager

Job Description

Site Name: Belgium-Wavre, UK London New Oxford Street

Posted Date: Jan 9 2026

The Supply Chain Data & Insights Associate plays a core role in ensuring the reliability, usability, and continuous evolution of the analytics solutions within the Supply Chain Control Tower
, with a focus on Logistics and Regional Supply Chain.

The position is responsible for maintaining and updating analytical interfaces, personas, landing pages, wheels, and data visualizations, ensuring that information is accurate, intuitive, and aligned with business processes. The Associate monitors data consistency, performs regular functional testing, maintains documentation, manages user access structures, and ensures tools are correctly displayed and functioning for different personas.

The role also contributes to the enhancement of the Control Tower by helping rationalize existing solutions, updating libraries, identifying issues, and coordinating improvement actions. Additionally, the Associate will contribute to the development and optimization of GenAI agents by gathering business questions, maintaining versioning, and supporting model training to ensure agents provide clear, accurate, and actionable responses.

This role requires strong analytical capabilities, attention to detail, learning agility, and the ability to work effectively in a global, multi‑stakeholder environment where digital and data‑driven approaches are central to decision making.

• Maintain and update analytics solutions within the Control Tower for Logistics and Regional Supply Chain, ensuring data, interfaces, and visualizations remain accurate and aligned to defined standards.
• Contribute to the definition and upkeep of personas and user journeys, ensuring tools and visual elements are correctly mapped and intuitive for end users.
• Manage user access requests, workspace configurations, and persona‑to‑security mappings, ensuring the correct level of access for each user group in collaboration with P&I.
• Ensure all dashboards, landing pages, and CT Wheels are displayed correctly, with consistent and up‑to‑date data for each relevant persona.
• Maintain documentation across solutions, wheels, and the Control Tower library, ensuring materials are complete, current, and easy for users to reference.
• Perform regular functional and data‑quality testing, identifying UI issues, data inconsistencies, or defects, and coordinating resolution with Tech when required.
• Monitor and track tickets or issues related to solutions in scope, ensuring they are logged appropriately and followed through to completion.
• Contribute to continuous improvement of the analytics landscape, including rationalisation of tools, identification of enhancement opportunities, and updates to shared libraries.
• Execute GenAI Business‑As‑Usual activities, ensuring agent behaviours are consistent, responses are reliable, and visualisations are correctly generated.
• Collect and curate business questions for GenAI model training, maintain version logs, and contribute to training and evaluation of GenAI agents to ensure high‑quality outputs.

• University degree or equivalent in a relevant field (Computer Science;
  Data Science;
  Data & Analytics;
  Supply Chain Management; Industrial Engineering; Mathematics; Statistics; or another quantitative or technical discipline.)
• 2 to 5 years experience
• Fluent in English

• University degree in a related field
• Additional certification or coursework in analytics, data modelling, AI/ML, or cloud technologies is an advantage
• Strong learning agility
• Certifications or coursework in Data Analytics, AI/ML, Cloud technologies, or Data Engineering.
• Ability to translate business questions into analytical requirements, supporting persona design, user journeys, and tool configuration.
• Proficiency in SQL and basic‑to‑intermediate Python, with the ability to apply them to data extraction, transformation, and quality checks.
• Hands‑on experience with BI or analytics tools, such as Power BI or similar platforms.
• Understanding of digital analytics concepts, such as root‑cause analysis, diagnostic analytics, and performance…