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Ericsson83 Supply & Logistics

Master Thesis: AI-Assisted Identification of Critical Data Elements Using Agentic AI

Stockholmonsite

Posted 3w ago · via Eightfold

About this role

Join our Team About this opportunity Trusted data is essential for effective business decision-making, yet identifying Critical Data Elements (CDEs) that require focused governance and quality controls often demands significant manual effort and expert knowledge. This thesis will explore how agentic AI capabilities in Snowflake CoWork can support the identification of Critical Data Elements by analyzing metadata, data lineage, and business context. The work will evaluate the accuracy, strengths, limitations, and practical applicability of AI-assisted CDE identification in enterprise data governance.…

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reqspace match rubric

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1

Skills match

For this role: python, go, sql, snowflake

2

Level fit

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3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

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5

Location fit

This role is based in Stockholm. We weight your proximity and willingness to relocate.

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