Enterprise Information Management Solution Architect

Stanford Health Care

Stanford, California, USA
Base: $94.35 - $125.03 ph; bonus/equity: not speci...
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Information management platform design
Ai/ml solution development
Llm integration
** Stanford Health Care is seeking a Principal Enterprise Information Management (EIM) Solution Architect to lead the design and implementation of an advanced Information Management platform. The ideal candidate will have extensive experience in IT, particularly in machine learning and data architecture, to enhance patient outcomes through innovative data solutions. **

Job Summary

  • Lead the design, development, governance and implementation of an advanced Information Management platform and related solutions across Stanford Health Care and School of Medicine.
  • Enable Data Science and AI Readiness by ensuring underlying data strategy allows EIM platforms and technologies to leverage structured, governed and discoverable data.
  • Align EIM and AI architecture with Stanford Healthcare’s enterprise transformational roadmap and analytics strategy.

Matching Summary

Match Score: 75

** Stanford Health Care is seeking a Principal Enterprise Information Management (EIM) Solution Architect to lead the design and implementation of an advanced Information Management platform. The ideal candidate will have extensive experience in IT, particularly in machine learning and data architecture, to enhance patient outcomes through innovative data solutions. **

Salary

Base: $94.35 - $125.03 per hour; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Information Management platform design
  • AI/ML solution development
  • LLM integration
  • Healthcare data standards
  • Data governance

Nice-to-have

  • Organizational savvy
  • Intellectual curiosity
  • Patient-centered interactions
  • Cross-enterprise collaboration

Key Requirements

  • 6+ years of IT experience
  • Bachelor's Degree required
  • Master's Degree preferred
  • Experience with machine learning frameworks
  • Experience with cloud AI ecosystems
  • Experience with healthcare data standards

Work Rights

Not specified

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