Position Details
About this role
This role involves developing and managing an enterprise knowledge graph by harnessing graph and semantic technologies, Big Data, and AI to improve data governance, quality, and insights across Morgan Stanley.
Key Responsibilities
- Build enterprise knowledge graph
- Implement data governance and quality practices
- Leverage graph and semantic technologies
- Collaborate with stakeholders on data strategy
- Utilize AI and LLMs for data insights
Technical Overview
The position requires expertise in data governance, metadata management, graph and semantic technologies, Big Data, and AI/ML tools to build scalable data architectures and facilitate data-driven decision making.
Ideal Candidate
The ideal candidate is a data management professional with expertise in data governance, metadata management, and graph or semantic technologies. They should have experience in building data architectures and leveraging AI and large language models for data insights.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with graph or semantic technologies, No background in data governance or metadata management, Inability to work on enterprise data architecture
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