Expert - EU RD

• 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.

Qualifications

• 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.
• Strong understanding of KPIs, operational monitoring, quality-performance management and root-cause analysis.
• Ability to explain technical concepts, process changes and AI-enabled solutions to stakeholders with varied levels of expertise.
• Process-oriented mindset with experience defining, refining and improving processes to strengthen quality, efficiency and on-time delivery.
• Strong organizational, presentation and stakeholder-management skills.
• Knowledge of process-improvement methodologies and project-management practices.
• Ability to scope project requirements, manage stakeholder expectations and deliver against agreed objectives.

• Flexible working environment

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)