Partners closely with Data Governance & Analytics Experience, Information Technology, Data Engineering, enterprise architecture, institutional leaders, and domain stakeholders to translate business needs and governance requirements into technically sound data products and semantic models. Establishes measures of analytics engineering performance and value, including semantic model reuse, report-to-model ratio, delivery time, duplicate-asset reduction, refresh reliability, performance, defect rates, adoption, and stakeholder value.