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

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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. The expected outcomes include an assessment of the technology, recommendations for adoption, and insights into how AI can support scalable data quality and governance practices in large organizations.

What you will do

During the thesis, you will:

- Review literature on data governance, data quality, Critical Data Elements, and agentic AI.
- Explore how Snowflake CoWork can support AI-assisted identification of business-critical data.
- Evaluate AI-generated recommendations using selected datasets and business scenarios.
- Compare AI results with expert assessments and existing practices.
- Analyze strengths, limitations, risks, and improvement opportunities.
- Develop recommendations for integrating AI-assisted CDE identification into enterprise data governance processes.
- Present your findings and document the work in a written thesis report.

The skills you bring

This opportunity is suitable for one or two Master's students studying Computer Science, Artificial Intelligence, Data Science, Information Systems, Business Analytics, Information Management, or a related field. We are looking for candidates with:

- Strong analytical and problem-solving skills.
- Interest in Data & AI, data governance, and enterprise analytics.
- Knowledge of databases, data modelling, business intelligence, or information management.
- Curiosity about Generative AI and agentic AI technologies.
- Experience with SQL, Python, Snowflake, or cloud data platforms is beneficial.
- Ability to work independently and collaborate with technical and business stakeholders.
This Master's thesis project can be carried out at either our Linköping or Stockholm office.