Teams at Tiger Analytics

Designs, builds, and deploys production-grade data engineering, analytics, GenAI, and agentic AI solutions for enterprise clients on Databricks. Responsibilities include Lakehouse architecture, data pipeline development, AI/ML workflows, RAG and natural-language analytics solutions, cloud migration, legacy BI modernization, performance optimization, technical workshops, consultative discovery, and cross-functional leadership with clients and Databricks teams.

Leads complex, cross-functional technology programs from planning through execution and transition. Responsibilities include developing integrated roadmaps, governance, financial and resource plans, executive reporting, dependency and risk management, stakeholder communication, and decision closure. The role requires technical fluency across data, analytics, platforms, security, and operations, plus experience with data risk, privacy, non-production data protection, regulatory remediation, and regulated financial-services environments.

Drive AWS-influenced pipeline, bookings, and revenue growth across Financial Services and Insurance. Build relationships with AWS field sellers, identify enterprise transformation opportunities, develop joint account strategies, shape complex deals, and own pursuits through closure. The role requires deep AWS partner ecosystem knowledge, financial services industry relationships, executive engagement, pipeline management, forecasting, and experience selling data, analytics, AI, generative AI, and cloud transformation services.