Design, build, and optimize cloud-native lakehouse pipelines and curated data products using Python and SQL. Own data modeling, orchestration, observability, performance tuning, governance, and secure access for multi-tenant SaaS analytics and AI use cases. Mentor engineers, lead reviews, troubleshoot production issues, and drive reusable platform patterns to support reporting, embedded analytics, operational data products, and ML-ready datasets.

Lead enterprise AI strategy and emerging technology adoption across the company. Redesign workflows and operating models, run pilots and scale AI initiatives, build ROI and investment frameworks, partner on governance and risk, and drive organizational adoption and measurable business impact.