Job Summary

AI Data Foundation Expert involves similar responsibility as data platform lead but with more focused technical expertise. This person will be expected to work cross-functionally with relevant business units and technical teams. They must ensure that execution aligns with overall AI strategy, compliance requirements, and business goals. The role demands deep subject-matter expertise, strong coordination skills, and the ability to deliver scalable impact. In addition to delivery excellence, they must support governance, knowledge sharing, and long-term transformation success.

Job Responsibilities*

• Build ETL/ELT pipelines and data products
• Implement data quality, observability, and lineage
• Collaborate with platform and ML teams on schemas/interfaces
• Optimize performance and cost
• Maintain documentation and templates

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
•  Advanced degree or certifications in Data Engineering, Cloud Platforms, or Data Governance.
• Minimum 10 years of experience and well versed with data analytics, data platform setup, setting up federated data structure in a large group.
• Data engineering and pipeline development
• Strong collaboration and stakeholder engagement
• Performance optimization and cost management
• Problem-solving and decision-making under complexity
• Documentation and governance compliance expertise