Expert (AI) - EU RD

The Reference Data Operations Expert is responsible for ensuring high-quality, timely and accurate Reference Data delivery across EU markets. The role combines operational execution, quality governance, stakeholder collaboration, process improvement and technical expertise to support end-to-end delivery—from input through to client delivery. The role brings an AI-first, continuous-improvement mindset, identifying where AI, automation, analytics and intelligent controls can reduce manual effort, strengthen preventive quality checks and improve operational outcomes. Key Responsibilities Execute and support high-quality Reference Data operations across EU markets, ensuring delivery meets agreed quality, timeliness and customer expectations. Partner with operational teams to resolve process and technical challenges, ensuring new tools, system enhancements and AI-enabled solutions are understood and effectively adopted. Identify repetitive, manual or high-risk activities and recommend AI, automation and process-improvement opportunities to enhance efficiency, scalability and quality. Support the testing, implementation and continuous refinement of AI-enabled validation, workflow and decision-support solutions in partnership with Technology, Transformation and operational teams. Lead error-management and Root Cause Analysis activities, providing clear issue analysis, corrective and preventive actions, and timely stakeholder communication. Strengthen preventive quality controls through data analysis, trend identification, AI-supported validations and targeted review mechanisms. Maintain effective communication with Client Ops teams and cross-functional stakeholders; provide accurate project updates and manage operational queries efficiently. Define, monitor and document process execution, including standard operating procedures, governance controls, exception tracking and process documentation. Ensure the accuracy and consistency of Reference Data coding is of high standards; investigate data-related concerns raised by clients and internal teams and support timely resolution. Execute Reference Data operations and project activities with a clear understanding of the production lifecycle—from retailer/manufacturer input, coding and validation through to final client delivery. Deliver assigned work accurately within agreed timelines, coordinating with local, regional and offshore teams to resolve data inquiries and operational challenges. Support standardization and continuous improvement across methods, applications, reporting and operational workflows. Provide technical and process expertise across Reference Data, supporting Western European markets in implementing projects, new capabilities and operational changes. Prepare, maintain and interpret KPI reporting covering Quality Escapes, data accuracy, delivery performance, productivity and adherence to operational commitments. Translate operational data into actionable insights, highlighting risks, trends and opportunities for improvement. Support colleagues through knowledge sharing, process guidance and training on quality standards, new tools and responsible use of AI-enabled solutions. Collaborate effectively in a virtual, multicultural environment across markets, functions and stakeholder groups.

5–8 years of experience in Operations, Quality Management, Data Operations and/or client-facing roles. Experience identifying and implementing process improvements, automation opportunities or technology-enabled operational enhancements. Strong interest in applying AI, analytics and automation to improve operational performance, quality controls and customer outcomes. Ability to critically review AI-generated recommendations, validate outputs against business rules and ensure appropriate human governance. Fluent written and spoken English. Strong analytical and problem-solving skills, with the ability to interpret data, identify trends and translate insights into practical actions. Stro