• Define and drive the long-term roadmap for our data ecosystem, covering ingestion, modeling, governance, observability, and BI. • Own and evolve our existing Debezium-based CDC infrastructure, ensuring reliability, scalability, and strong schema-change handling. • Oversee ingestion from SQL Server and cloud storage; extend ingestion to additional data sources and third-party systems. • Build and lead a best-in-class team across Data Engineering, Analytics Engineering, and future Data Science/ML Engineering. • Partner with Risk to deliver reproducible training-ready datasets—feature sets, label pipelines, temporal models, monitoring tables. • Architect data foundations that support ML and AI workloads, including feature pipelines, embedding/vector layers, and model governance. • Establish and enforce data governance: semantic consistency, naming conventions, data contracts, PII handling, lineage, and access controls. • Drive performance and cost optimization across Snowflake, transformations, ingestion workflows, and BI workloads. • Ensure the BI layer is reliable, governed, and trustable, with well-modeled marts and consistent metrics. • Set technical standards, mentor team members, and create a culture of high-quality, testable, maintainable data work.