- Lead data strategy initiatives including current state assessments, enterprise architecture design, and governance frameworks
- Design and implement cloud-native data lakehouse platforms (Databricks, Snowflake, BigQuery) with medallion architectures
- Build real-time and batch data pipelines using modern ETL/ELT, streaming, and orchestration technologies
- Architect and develop generative AI solutions including RAG pipelines, multi-agent systems, and autonomous monitoring
- Create advanced analytics and BI solutions with modern self-service platforms (Tableau, Power BI)
- Lead technical teams, mentor data professionals, and drive innovation lab initiatives
- Conduct client discovery sessions and translate complex technical concepts for executive audiences
- Implement MLOps, feature stores, and AI/ML pipeline development with performance optimization
- Establish data governance standards, quality monitoring, and observability engineering practices
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