Ability to work effectively with engineering, data, product, and technology teams to shape requirements, prioritize use cases, evaluate technical options, and guide scalable, explainable solutions, with strong fluency in SQL and comfort engaging on Python-based analytics, natural language processing, large language model use cases, and decision-support applications. + Strong command of data architecture, data modeling, master data management, ETL/ELT pipelines, API-based integration, and cloud data platforms, including how supplier, sourcing, production, logistics, and financial data should connect to support trusted, timely, and scalable decision-making.