Data Quality Co-Op

Job Description

Job Description

Data Quality Co-Op

Company Overview

LG Energy Solution Vertech, Inc., a subsidiary of LG Energy Solution, is a leading provider of grid-scale integrated energy storage systems, delivering safe, reliable, and high-performance solutions to customers worldwide. Powered by our proprietary AEROS® energy operating system, we use advanced monitoring and controls to help customers optimize system performance and maximize the value of their energy storage assets. 

For more information about LGESVT, please visit  

Position Overview

The Data Quality Co-Op will support the Data and AI team in maintaining high-quality, trusted knowledge repositories across Confluence, SharePoint, and other enterprise platforms. The intern will review existing content, identify outdated or conflicting information, improve information organization, and work with business stakeholders to ensure knowledge remains accurate, relevant, and easy to discover.

This role directly supports the organization's AI strategy by improving the quality of the information used by Microsoft Copilot and other AI-powered solutions. Through this work, the intern will gain hands-on experience in knowledge management, data governance, and AI enablement while helping create a stronger foundation for trusted, high-quality employee self-service and decision-making.

Primary Responsibilities

• Review and audit content within Confluence, SharePoint, and other approved knowledge repositories.
• Identify outdated, duplicate, conflicting, or low-value information and recommend appropriate remediation actions.
• Archive, remove, or update content in coordination with content owners and subject matter experts.
• Assist in developing and enforcing content organization standards, naming conventions, and information architecture best practices.
• Improve document metadata, tagging, categorization, and navigational structures to enhance searchability.
• Collaborate with business teams to validate the accuracy and relevance of existing documentation.
• Support knowledge governance initiatives, including content lifecycle management and periodic review processes.
• Analyze how knowledge content is utilized by AI tools and identify opportunities to improve AI-generated responses.
• Document findings, recommendations, and progress metrics related to content quality improvement efforts.
• Assist with special projects related to digital transformation, knowledge management, and AI enablement.

Key Knowledge, Skills and Abilities

• Strong attention to detail and ability to identify inconsistencies in documentation and data.
• Excellent organizational and analytical skills.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Strong written communication skills and ability to present information clearly and concisely.
• Interest in knowledge management, information architecture, digital transformation, and artificial intelligence.
• Ability to analyze information from multiple sources and determine accuracy and relevance.
• Familiarity with Microsoft 365 applications and collaboration tools.
• Demonstrated curiosity and willingness to learn new technologies and business processes.

Required:

• Currently pursuing a Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Administration, Library & Information Science, or a related field.
• Strong proficiency with Microsoft Office applications.
• Excellent written and verbal communication skills.
• Ability to manage multiple tasks and meet deadlines.
• Strong problem-solving and critical-thinking abilities.

Desired:

• Experience with SharePoint, Confluence, Microsoft Copilot, or other knowledge management platforms.
• Coursework or experience related to data governance, information management, content strategy, or AI.
• Familiarity with document management or enterprise collaboration systems.
• Interest in emerging AI technologies and their business applications.