Domain Knowledge: Strong knowledge of modern analytics architectures and data developer tooling - including dbt based transformation workflows, a governed Semantic Layer, and performant query and visualization experiences (e.g., Tableau, Preset, Posit Connect); plus deep familiarity with the practitioner stack: IDEs and notebooks (Cursor, JupyterLab, VS Code), Python/SQL developer tooling, interactive compute environments, and data quality/observability frameworks. Drive Adoption: Create effective rollout strategies and promote new capabilities through targeted communication, education, and roadshows, while providing comprehensive documentation, learning resources, and self-service tools that accelerate adoption and reduce support burden.