• Own the gold and silver layers of the medallion architecture: define, version, and maintain business metrics and semantic models and data glossaries. • Partner with data engineering to shape the silver layer, ensuring upstream data is complete, performant, and aligned with business needs. • Build and maintain executive dashboards and visualizations that communicate key insights effectively. • Define and enforce best practices for analytics modeling, data documentation, and visualization standards. • Design and maintain data marts, metric stores, and semantic layers that enable consistent reporting across teams. • Ensure dashboards and data models are accurate, documented, and certified for stakeholder trust. • Partner with data scientists and ML Ops to document and integrate model outputs into analytical workflows. • Lead initiatives to improve data quality, observability, governance, and glossary management across analytics workflows, ensuring strong, business-aligned definitions that prevent metric drift and maintain consistency over time. • Mentor mid-level analytics engineers, helping them strengthen technical, communication, and stakeholder management skills. • Act as a trusted advisor to product, business, and editorial leaders, ensuring analytics aligns with company priorities and drives impact. • Ensure that analytics modeling and data structures are designed to power a self-service platform, enabling teams across Axios to explore reliable data, access well-defined metrics, and derive insights independently.