Found Description
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 manag...
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