DATA ANALYTICS

This is a senior position requiring a minimum of 10 years experience in data analytics, with at least 5 years in a management role managing large-scale data analytics projects. He/She should come with proven experience with AWS cloud services, including setting up and managing cloud infrastructure, and deep expertise in Databricks Lakehouse and AI/ML technologies.

Proficiency in cloud-native architectures and services on both Azure and AWS.

1. Track record of leading end-to-end delivery of generative AI projects or AI-powered platforms.
2. Ability to translate business requirements into technical solutions and manage delivery timelines.
3. Experience coordinating cross-functional teams including developers, cloud engineers, and possibly data scientists.
4. Experience mentoring and providing technical guidance to developers and engineers.
5. Knowledge of cloud security best practices, identity and access management, and data privacy considerations relevant to AI workloads.
6. Ability to troubleshoot complex technical issues related to AI model deployment and cloud infrastructure.