Solution Architect – Automated Metadata Cataloging

Morgan Stanley

Base: $150,000 - $210,000 py; bonus/equity: not sp...
Enterprise knowledge graph development
Graph and semantic technologies
Big data technologies
The Firmwide Data Office is building an Enterprise Knowledge Graph using Graph and Semantic technologies, Big Data, AI, and LLMs to map complex business, application, data, and infrastructure asset relationships

Job Summary

  • The Firmwide Data Office is building an Enterprise Knowledge Graph using Graph and Semantic technologies, Big Data, AI, and LLMs to map complex business, application, data, and infrastructure asset relationships.
  • This role involves managing end-to-end project delivery, product management functions, and collaborating with business and technology stakeholders to drive the program execution and product evolution.
  • Morgan Stanley offers a supportive and empowering environment with opportunities for growth, comprehensive employee benefits, and a commitment to diversity and inclusion.

Matching Summary

The Firmwide Data Office is building an Enterprise Knowledge Graph using Graph and Semantic technologies, Big Data, AI, and LLMs to map complex business, application, data, and infrastructure asset relationships.

Salary

Base: $150,000 - $210,000 per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Enterprise Knowledge Graph development
  • Graph and Semantic technologies
  • Big Data technologies
  • Data discovery & scanning techniques
  • AI and LLMs
  • Metadata Management
  • Data Lineage

Nice-to-have

  • Design thinking and user journey mapping
  • Collaborative and innovative environment
  • Diversity of thought and creative solutions
  • Client and community focus
  • Continuous improvement and learning

Key Requirements

  • 10+ years of experience in Technology product and delivery management
  • 6+ years of hands-on product management and business/data analysis
  • Experience with AI, LLMs, NLP, Statistical modeling
  • Experience with Scanning and Discovery tools (e.g., Big ID, Collibra Edge)
  • Experience building solutions for data lineage, metadata management, data catalogs
  • Bachelor's degree

Work Rights

Not specified

Tailored Resume

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