Own enterprise client and prospect relationships, lead consultative product demos, support deal closing, and serve as an expert on hourly workforce and HR operations. Partner with sales, marketing, and product to develop go-to-market strategies, translate customer pain points into product opportunities, address compliance and integration requirements, and influence roadmap decisions for multi-location frontline workforces.

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.