Expert

The Expert in RD will serve as the primary authority for interpreting, validating, and implementing Reference data specific requirements across projects, Quality and deliverables. This role ensures that all operational inputs strictly adhere to client guidelines, compliance standards, and quality benchmarks, while enabling seamless communication between internal teams and external stakeholders.

Responsibilities

Identify gaps in the process and propose process enhancements; Categorize products based on retailer information received from various market sources; Manage and maintain reference data across assigned countries, ensuring compliance with established Reference Data Standards and Governance; Create and deliver high-quality client data accurately and within agreed timelines; Drive process improvement and simplification initiatives that enhance efficiency and generate measurable FTE savings; Conduct effective internet-based research to analyze, verify, and validate product-related information; Ensure consistency, accuracy, and completeness of reference data across all assigned categories and markets; Train internal teams on evolving Reference Data and best practices; Define long term GenAI strategy aligned with business goals; Conduct audits and validations to confirm compliance with client expectations

Requirements

Bachelor's degree required; Strong proficiency in English (written and verbal); 7+ years of experience in Reference Data, operations, or compliance roles; E2E knowledge of RD (OGRDS, Char Pop & Val, Item coding, X coding, SI & CI creation); Exposure to quality frameworks, SLA/KPI tracking, and process audits; Strong awareness of Generative AI (GenAI), including a solid understanding of AI capabilities, applications, and industry background; Excellent analytical and problem-solving skills with strong attention to detail

Nice to have

Master's degree is an advantage; Additional language skills; Prior exposure to global RD projects and multi-country operations

Benefits

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