Senior AI Data Architect - Enterprise AI Transformation

GE Appliances, a Haier company; Ohio; Hybrid; USD 180,000 - 250,000; Full time

Job summary

GE Appliances, a Haier company, seeks a Senior Principal Enterprise Data Architect for AI Data Transformation to lead enterprise data architecture and AI data governance across global operations. You will partner with IT, product engineering, and data science to design scalable AI-ready data platforms.

The role requires 15+ years in data roles with 5+ years in EA leadership, strong TOGAF experience, and a track record delivering AI-driven data solutions in complex environments.

Qualifications

• 15+ years progressive data-related experience
• Minimum 5 years in Enterprise Data Architecture at enterprise scale
• Experience designing AI/ML data infrastructure (feature stores, vector DBs)

Responsibilities

• Lead enterprise data architecture enhancements across R&D, supply chain, operations, and customer experience
• Define the Enterprise AI Data Architecture Blueprint and data flows
• Architect AI data readiness framework across five data dimensions
• Deploy vector database infrastructure and embedding pipelines for enterprise data
• Define data architecture for LLM/ RAG integration to support copilots and AI workflows
• Establish low-latency data serving and event-driven AI pipelines
• Implement enterprise Synthetic Data generation capabilities

Skills

Enterprise data architecture

AI data governance

Stakeholder engagement

Cloud data warehousing

Leadership

Education

Bachelor's in CS or related

Master's preferred

Tools

BigQuery

Collibra

Vector databases

Knowledge Graph

Feature Store / ML features

Job description

GE Appliances, a Haier company, seeks a Senior Principal Enterprise Data Architect for AI Data Transformation to lead enterprise data architecture and AI data governance across global operations. You will partner with IT, product engineering, and data science to design scalable AI-ready data platforms.

The role requires 15+ years in data roles with 5+ years in EA leadership, strong TOGAF experience, and a track record delivering AI-driven data solutions in complex environments.