Knowledge Engineer: Semantic Graphs & Enterprise Data

Associated Bank; Minnesota; On-site; USD 93,000 - 159,000; Full time

Benefits offered by this job

401(k) and Pension plans

Paid time off to volunteer

Employee stock purchase plan

Diversity-focused Colleague Resource G

Job summary

Associated Bank in Minnesota seeks a Knowledge Engineer to advance enterprise data strategy by building semantic models, metadata standards, and governance practices. You’ll partner with data architecture, governance, AI, and business teams to translate needs into scalable semantic solutions.

You’ll influence decision making and enable AI capabilities while ensuring data consistency and compliance across data domains. A strong background in semantic technologies and graph databases is essential.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Knowledge Engineering, or equivalent experience.
• 3+ years with semantic technologies, data modeling, knowledge representation, graph databases, and semantic web standards.
• 3+ years delivering enterprise data solutions with cross-functional teams.
• Preferred: Bachelor's degree in Data Science or related discipline; 1+ years of enterprise knowledge graph platforms experience.

Responsibilities

• Develop enterprise semantic models, ontologies, taxonomies, and knowledge graph structures that create consistent business meaning across data domains.
• Define and maintain enterprise 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.

Skills

Semantic technologies

Data modeling

Knowledge representation

Graph databases

Cross-functional collaboration

Education

Bachelor's degree in Computer Science / Information Systems / Data Science

Equivalent combination of education and experience

Tools

Neo4j

SQL

Python

Job description

Associated Bank in Minnesota seeks a Knowledge Engineer to advance enterprise data strategy by building semantic models, metadata standards, and governance practices. You’ll partner with data architecture, governance, AI, and business teams to translate needs into scalable semantic solutions.

You’ll influence decision making and enable AI capabilities while ensuring data consistency and compliance across data domains. A strong background in semantic technologies and graph databases is essential.