The Opportunity: Location will be in Alpharetta, GA
- Ensure consistency and accuracy of data across Product Information Management (PIM) and Digital Asset Management (DAM) systems.
- Support the RAG (Retrieval-Augmented Generation) database by ensuring documents are properly indexed, retrievable, and aligned with user queries.
- Manage and organize documents in the database, including submittals, owner manuals, engineering manuals, installation manuals, service manuals, and other relevant technical documents.
- Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval.
- Maintain data quality by updating, correcting, or removing outdated or inaccurate content in the database.
- Monitor customer feedback and usage patterns to identify gaps or improvement areas in the database content.
- Collaborate with technical and support teams to validate document accuracy and relevance.
- Participate in periodic data quality audits and database optimization reviews.
- Document processes, changes, and best practices for ongoing database management and continuous improvement.
Qualifications:
- Bachelor's degree in a relevant field (e.g., Information Management, Engineering, Computer Science, or related discipline), or equivalent education and/or experience.
- Basic understanding of data management principles, including data accuracy, consistency, and organization.
- Familiarity with Product Information Management (PIM) or Digital Asset Management (DAM) systems (hands-on experience a plus, not required).
- Basic experience with databases or structured data, such as using Excel, Google Sheets, or simple database tools.
- Strong attention to detail and ability to follow detailed instructions.
- Effective written and verbal communication skills, with the ability to collaborate in a team environment.
- Proficiency in Microsoft Office (Word, PowerPoint, Excel, Outlook).
- Strong organizational skills and ability to manage multiple tasks in a fast-paced environment