Knowledge Engineer

Associated Bank • US WI Remote, IL

6d • $92,610 - $158,760

About The Position

As a Knowledge Engineer, you'll help build the foundation that enables data to be trusted, connected, and understood across the organization. You'll partner with business and technology teams to create shared data definitions and semantic models that improve decision-making, governance, and AI capabilities. This is an exciting opportunity to influence enterprise data strategy while growing your expertise in modern data and knowledge technologies.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Knowledge Engineering, or a related field, or an equivalent combination of education and experience.
• 3+ years of experience with semantic technologies, data modeling, knowledge representation, graph databases, and semantic web standards.
• 3+ years of experience working with modern data platforms and collaborating across data architecture, engineering, and governance teams to deliver enterprise data solutions.

Nice To Haves

• Bachelor's degree in Data Science or a related discipline.
• 1+ years of experience implementing or managing enterprise knowledge graph platforms or semantic technologies.
• 1+ years of experience supporting enterprise data governance, metadata management, lineage, and data quality initiatives.
• Neo4j Certified Professional certification.
• SnowPro Advanced certification.

Responsibilities

• Develop enterprise semantic models, ontologies, taxonomies, and knowledge graph structures that create consistent business meaning across data domains.
• Define and maintain enterprise business concepts, metadata standards, and data relationships to support governance and regulatory compliance.
• Align data from multiple systems by mapping technical data to shared business definitions and reusable semantic standards.
• Partner with data architecture, engineering, governance, AI, and business teams to translate business needs into scalable semantic solutions.
• Enable advanced data discovery and analytics by applying semantic web standards, graph technologies, and knowledge modeling practices.
• Support AI-ready data capabilities by designing semantic frameworks that improve context, search, and knowledge-driven insights.
• Promote enterprise data consistency by advancing metadata, lineage, and governance best practices across the organization.

Benefits

• Retirement savings including both 401(k) and Pension plans.
• Paid time off to volunteer in your community.
• Opportunities to connect with others through our diversity-focused Colleague Resource Groups.
• Competitive salaries with professional development and advancement opportunities.
• Bonus benefits including well-being programs and incentives, parental leave, an employee stock purchase plan, military benefits and much more.
• Personal banking, loan, investment and insurance benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level