Knowledge Engineer

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Logo of Associated Bank

Associated Bank

1001 - 5000 employees

Founded 1874

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

Associated Bank is a Midwestern bank offering a wide array of banking services, including personal, business, and commercial banking. It provides features like digital banking, retirement plans, brokerage accounts, and wealth management services. The bank emphasizes community involvement and sustainability, investing significantly in initiatives such as affordable housing and economic development. Known for its Midwest-based customer care, Associated Bank operates hundreds of branches in Illinois, Minnesota, and Wisconsin, and provides various online and mobile banking solutions.

📋 Description

• 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.

🎯 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. • Preferred 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.

🏖️ 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.

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