Key Responsibilities • Lead end-to-end delivery of large-scale Data Engineering, Data Science, and GenAI programs • Manage enterprise data platforms built on Databricks, Spark, and cloud ecosystems (AWS/Azure/GCP) • Drive implementation of MLOps/LLMOps pipelines including model deployment, monitoring, and governance • Own program governance including planning, budgeting, resource allocation, and risk management • Lead Agile delivery, sprint planning, and cross-functional team coordination • Ensure scalability, reliability, and performance of data pipelines and AI solutions • Build and mentor high-performing teams of Data Engineers, Data Scientists, and ML Engineers Required Skills & Experience • 10–15 years of experience in Project/Program Management with strong focus on Data & AI • Proven experience managing large-scale Data Engineering and Data Science projects • Strong hands-on exposure to Databricks, Spark, ETL pipelines, and modern data architectures • Experience with cloud platfo...