Ericsson
Master Thesis: AI-Assisted Identification of Critical Data Elements Using Agentic AI
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Master’s thesis investigating how agentic AI in Snowflake CoWork can identify Critical Data Elements using metadata, data lineage, and business context. The student will review relevant literature, evaluate AI-generated recommendations against expert assessments, analyze risks and limitations, and develop recommendations for enterprise data governance integration. The project involves data governance, data quality, enterprise analytics, and potentially SQL, Python, and Snowflake.
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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:
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:
This Master's thesis project can be carried out at either our Linköping or Stockholm office.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Linköping
Req ID: 791755
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.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Linköping
Req ID: 791755
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