Latin America (ALAC) AIML Data Quality & Governance Scientist

Job description

Apple's Latin America (ALAC)

AI/ML team is looking for a rare combination

someone who is as comfortable discussing sales channel dynamics and business process logic as they are designing graph schemas and data pipelines. As an AIML Data Quality and Governance Scientist, your core work will be to listen deeply to business experts, extract and formalize what they know, and encode it into Enterprise Knowledge Graphs that become the trusted foundation for AI agents, analytical tools, and decision-support systems used by sales teams across ALAC.

This is not a role that works in isolation. The knowledge graphs you build must fit coherently into a broader, interconnected enterprise knowledge ecosystem — and your definitions, ontologies, and data models must be consistent with and linkable to graphs owned by partner teams, so that the sales user always gets a single, coherent, trustworthy picture. You will also lead data quality and governance efforts —translating the CoE Lead's governance strategy into documented, enforceable policies and operational standards across ALAC's data assets — and design ingestion architectures for unstructured, structured, and partner/channel/third-party data sources.

Regular status and impact reporting to leadership on data quality trends and governance progress will be part of your ongoing rhythm.