Enterprise Semantic Knowledge Engineer

Associated Bank - Corp; Nebraska; On-site; USD 92,610 - 158,760; Full time

Benefits offered by this job

401(k) and Pension

Volunteer time off

Diversity-focused groups

Competitive salary and advancement

Employee stock purchase plan

Personal banking benefits

Job summary

Associated Bank is seeking a Knowledge Engineer to build foundations for trusted, connected data across the organization. You will partner with business and technology teams to define shared data concepts and semantic models to improve governance, AI capabilities, and decision-making.

You will influence enterprise data strategy, applying knowledge technologies and modern data platforms while growing expertise in semantic modeling and data governance.

Qualifications

• Bachelor's degree or equivalent in a related field.
• 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.

Responsibilities

• Develop enterprise semantic models, ontologies, taxonomies, and knowledge graphs.
• Define and maintain enterprise concepts, metadata standards, and data relationships.
• Align data from multiple systems to shared definitions and semantic standards.
• Collaborate with data architecture, engineering, governance, AI, and business teams to deliver semantic solutions.
• Enable data discovery and analytics using semantic web and graph technologies.
• Design semantic frameworks to improve context, search, and knowledge-driven insights.
• Promote 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, Knowledge Engineering, or related field

Tools

Neo4j

Semantic web standards

Job description

Associated Bank is seeking a Knowledge Engineer to build foundations for trusted, connected data across the organization. You will partner with business and technology teams to define shared data concepts and semantic models to improve governance, AI capabilities, and decision-making.

You will influence enterprise data strategy, applying knowledge technologies and modern data platforms while growing expertise in semantic modeling and data governance.