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