Job Information
Wolters Kluwer Database Analysis & Development Manager - Ontology / Knowledge Engineering in Denver, Colorado
Hybrid Location: Riverwood, IL; Chicago, IL; Coppell, TX; Philadelphia, PA; Waltham, MA; Denver, CO; Kennesaw, GA
The Wolters Kluwer Digital Experience Group creates products and solutions with Wolters Kluwer businesses around the globe to serve professionals in the Legal, Tax, Heath, ESG, Finance and Compliance sectors. This wide and growing array of solutions supports Wolters Kluwer businesses in building and expanding their online product portfolios. The Digital Experience Group (DXG) provides global leverage of industry and customer insight, driving technology capabilities for local product development.
Do you want to use your skills and experience to make a meaningful impact to provide expert solutions in a diverse set of professional domains: healthcare, compliance, legal and regulatory and tax and accounting?
Wolters Kluwer is a fast-growing and innovation-driven global company that has successfully made a transition from print publishing to a digitally-driven provider of professional software, online expert content and integrated workflow products. A unique combination of experts, content and data provide the ingredients to create expert solutions based on advanced technologies especially cognitive technologies. Collaborating with product visionaries and experts in healthcare, compliance, legal and tax you will guide advanced solutions that tackle some of the most challenging problems our customers face.
We're looking for a Ontology Specialist / Knowledge Engineering Manager who is passionate about delivering the next generation of digital products. You are willing to work with subject matter experts, product leaders, customers and developers to create knowledge organization systems (e.g. vocabularies, taxonomies, etc.) that guides the user experience.
Reporting to the Director of Content Technology, this role is part of a centralized function within the Digital Experience Group (DXG) a team supporting a suite of Content Technology tools and services used by the product and content teams in each division.
Responsibilities:
Design and implement ontology-driven knowledge frameworks to support AI, search, and content retrieval systems.
Conduct semantic analysis and optimization to improve knowledge graph performance and relevance.
Develop and maintain knowledge graphs, ontologies, and metadata models , ensuring scalability and alignment with business goals.
Ensure adherence to data governance, compliance, and privacy standards , particularly in the use of AI-driven systems.
Establish best practices for ontology versioning, data integration, and knowledge updates .
Lead data modeling programs , focusing on conceptual, logical, and physical models for knowledge representation.
Implement advanced data integration processes , including ETL pipelines for knowledge enrichment and semantic interoperability.
Oversee large-scale knowledge migration and transformation projects , ensuring minimal disruption and high data fidelity.
Identify and resolve complex challenges in knowledge representation, inference, and retrieval .
Mentor junior team members in knowledge engineering principles , ontology design, and semantic technologies.
Experience:
Bachelor's degree in computer science, library science, linguistic or related experience
Has 5 years experience developing or using knowledge organization systems; such controlled vocabularies, taxonomies
Has 5 years experience developing or using knowledge models based on W3C standards (RDF, OWL, SKOS, etc.)
Has 5 year experience integrating ontologies; such as Dublin Core, FRBR, FOAF, etc.
Has 5 year experience integrating linked data sets in application
Strong written and oral communication and presentation skills
Abstract thinker with the ability to conceptualize or generalize, and apply the corporate knowledge model to solve business problems in different domains
Experience in adoption of knowledge models to the legal, accounting or health domains is desirable
Benefits:
A comprehensive benefits package that begins your first day of employment. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave . Full details of our benefits are available - https://www.mywolterskluwerbenefits.com/index.html
Diversity Matters
Wolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmost importance. We've been recognized by employees as a European Diversity Leader in the Financial Times, as one of Forbes America’s Best Employers for Diversity in 2022, 2021 and 2020 and as one of Forbes America’s Best Employers for Women in 2021, 2020, 2019 and 2018. In 2020, we placed third in the Female Board Index, and were recognized by the European Women on Boards Gender Diversity Index. Wolters Kluwer and all of our subsidiaries, divisions and customer/departments is an Equal Opportunity / Affirmative Action employer.
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Compensation:
Target salary range CA, CT, CO, DC, HI, IL, MD, MN, NY, RI, WA: $145,500 - $203,900
This role is eligible for Bonus.
Additional Information :
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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