GE Appliances

GE Appliances

Senior Principal Enterprise Data Architect, AI Data Transformation

USA, Louisville, KY · Principal

Sponsorship not specifiedDetected 8 days ago
BigQueryVector DatabasesCI/CDMachine LearningData EngineeringData ScienceNLPLLMsRAGProject ManagementCRMSAPSupply ChainERPCustomer Support

About the role

  • Interested in joining us on our journey?

Requirements

  • 15+ years of progressive experience in data-related roles, with a minimum of 5 years in Enterprise Data Architecture at enterprise scale.
  • 3+ years of experience designing and architecting AI/ML data infrastructure (feature stores, vector databases, model serving layers, semantic layers).
  • Proven track record of leading enterprise data transformation programs with measurable AI and ML outcomes delivered in production environments.
  • Working knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman)

Nice to have

  • Experience working in both Agile and Waterfall delivery environments
  • Project Management Professional (PMP) certification preferred
  • TOGAF or other EA framework certification preferred
  • Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D).
  • This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute.
  • Strengthen communities where we live and work.
  • Reinforce a culture of belonging, purpose, and engagement.
  • Reflect the diversity of the communities we serve through our workforce, products, and practices.

Skills

  • Align all data architecture decisions with regulatory and compliance requirements without compromising AI agility.

Visa & Work Authorization

  • GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S

This listing is sourced directly from GE Appliances's careers page and normalized into a canonical job model.