Remote Enterprise AI Data Transformation Architect

GE Appliances, a Haier company; New York (NY); Hybrid; USD 170,000 - 210,000; Full time

Job summary

GE Appliances, a Haier company, is seeking a Senior Principal Enterprise Data Architect, AI Data Transformation, to lead the enterprise data layer across global operations. You will design AI-ready data architectures, governance frameworks, and vector data pipelines that enable reliable AI copilots and analytics.

You will partner with IT, product engineering, data science, and business leaders to align technology investments with strategic AI goals, enforce data contracts, and drive

Qualifications

• Bachelor's degree in CS/DS/IS/Math/Engineering required.
• Master's degree in CS/DS/AI strongly preferred.
• 15+ years of experience in data roles, with at least 5 years in enterprise data architecture.
• 3+ years designing and building AI/ML data infrastructure (feature stores, vector databases, model serving).
• Experience with ERP/PLM/IoT data in large enterprises is a plus.

Responsibilities

• Lead the enterprise data layer enhancement and AI-first data pipelines across R&D, supply chain, operations, and customer experience.
• Define and govern the Enterprise AI Data Architecture Blueprint and AI data readiness framework.
• Architect and deploy vector databases and embedding pipelines for AI models and copilots.
• Define data contracts, metadata management, and lineage to ensure semantic consistency and regulatory compliance.
• Align data architecture decisions with regulatory requirements while enabling AI agility.

Skills

Enterprise Data Architecture

AI Data Infrastructure

TOGAF/Zachman

Education

Bachelor's degree in CS/DS/IS/Math/Engineering

Master's degree in CS/DS/AI

Tools

BigQuery

Vector databases

Data governance tools

Job description

GE Appliances, a Haier company, is seeking a Senior Principal Enterprise Data Architect, AI Data Transformation, to lead the enterprise data layer across global operations. You will design AI-ready data architectures, governance frameworks, and vector data pipelines that enable reliable AI copilots and analytics.

You will partner with IT, product engineering, data science, and business leaders to align technology investments with strategic AI goals, enforce data contracts, and drive