AI-Ready Data Engineering Team Lead_96976

Company:A Large Global Organization

Key Skills: Data Integration, Data Governance, AWS, Informatica, Snowflake, People Management, Gen AI, LLM Ops, Agentic AI

Roles & Responsibilities: • Drive the implementation of AI-Ready Data frameworks to ensure data is trusted, secure, and AI-consumable at scale. • Lead and mentor teams across Data Quality, Data Governance, and Data Management functions. • Architect and build automated data preparation systems using AI-driven solutions and agents. • Design and develop end-to-end data pipelines for structured and unstructured data. • Collaborate with global cross-functional teams to enable AI innovation and integration with AI platforms. • Implement scalable data architectures leveraging AWS, Snowflake, and Informatica. • Establish data observability, monitoring, and governance frameworks across the data lifecycle. • Drive adoption of GenAI, LLM Ops, and next-generation AI capabilities within data engineering. • Ensure data quality, compliance, and regulatory adherence in healthcare/biopharma environments. • Deliver measurable outcomes by enabling AI-ready data products and platforms.

Experience Required: • 12 - 20 years of experience in data engineering and data management. • Strong experience in Data Integration, Data Governance, and enterprise data platforms. • Hands-on expertise with AWS, Snowflake, and Informatica tools. • Proven experience in leading and managing high-performing technical teams. • Experience in building scalable data pipelines and architectures. • Exposure to GenAI, LLM Ops, or AI-driven data platforms is a plus. • Strong understanding of data observability, monitoring, and data quality frameworks. • Experience working in healthcare or biopharma domain is preferred. • Excellent stakeholder management and cross-functional collaboration skills.

Education: Any Post Graduation