About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About ABI Growth Group ABI’s Growth Division is the center of innovation and tech development within ABI, which is driving ABI’s growth by developing innovations for the core beer business and creating new hyper-growth tech businesses. ABI Growth includes the following business lines: BEES (our business-to-business e-commerce and SaaS business, also focused on new technologies), TaDa and Ze Delivery (our direct-to-consumer e-commerce businesses), and several other high-tech divisions, including fintech and venture capital. About The Role BEES is building a new global product catalog and rolling out Catalog Admin, the platform that enables scalable catalog management across sellers. This role will own catalog taxonomy and the commercial operation of Catalog Admin, connecting Commercial, Product, Engineering, Data Personalization/Algorithm, and external partner teams. <h3 id="What-you-will-do" data-local-id="0f5f4d6f47f8" data-renderer-start-pos="964">What you will do</h3> <ul class="ak-ul" data-local-id="0afe72e8d1bc" data-indent-level="1"> <li> Define and maintain global taxonomy, content, and quality standards. </li> <li> Ensure catalog information is consistent, searchable, commercially effective, and ready to scale. </li> <li> Translate commercial and operational needs into clear requirements and priorities for Product, Tech, Data Personalization, and Algorithm teams. </li> <li> Review and decide on the requested changes to our global catalog for creation, edit or removal. </li> <li> Validate algorith with models outputs, and provide feedback to the owner Personalization team to enhance the outcomes. </li> <li> Lead governance for roadmap, risks, dependencies, decisions, escalations, and stakeholder communication. </li> <li> Coordinate data cleanup, migration support, training, launch readiness, and post-launch improvements across sellers. </li> <li> Identify opportunities to use AI for content updates, description generation, image enrichment, taxonomy standardization, and quality checks. </li> <li> Monitor adoption, quality, operational, and commercial KPIs; lead corrective actions when needed. </li> <li> Create playbooks, decision logs, and clear ways of working in Confluence and Jira. </li> <li> <p data-renderer-start-pos="2086" data

Global Catalog Analyst

Job Description