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Nov 01 05
Source: CHI-Jobs
ONTOLOGY QA COORDINATOR
Name of Company/Location: Thomson/West – Eagan, MN (Minneapolis, MN area) Company Website: http://west.thomson.com How to Apply: Send Microsoft Word resume to Jeanette Vroman, Recruiter, Thomson/West, jeanette.vroman@contractor.thomson.com or apply online at http://west.thomson.com/careers/
Description
Thomson Legal & Regulatory (TLR) is a leading provider of integrated information solutions to legal, tax, accounting, intellectual property, compliance, business and government professionals around the world.
Thomson West, a division of TLR, is seeking an Ontology QA Coordinator to join the Ontology team. This individual will establish and manage all QA activities for Ontology assets.
Responsibilities
* Develop and manage automated, semi-automated and manual QA processes for Ontology assets, including taxonomy files, authority data, mapping files and classification and extraction models.
* Establish a QA environment for ongoing testing purposes.
* Incorporate user statistics and customer feedback into QA processes.
Design and implement automatic feedback loops from automated classification/extraction systems to Editorial processes.
* Create and maintain Test Plan and Release Notes documentation.
* Ensure the quality of Ontology assets deployed to production meet established criteria.
* Manage tracking and resolution of Ontology QA issues.
* Provide clear and consistent reports to Ontology Team and senior management.
* Work closely with Editorial/Ontology staff in multiple locations to identify needs and establish processes.
* Manage QA processes for multiple external and internal customers.
* Ensure work and projects are aligned with Ontology priorities and procedures.
* Ensure that data integrity issues are identified and proactively addressed.
Qualifications
* 4 years QA experience.
* Experience with taxonomies, authorities and classification/extraction technologies.
* Familiarity with Business Information and News content and products.
* Extensive knowledge of XML.
* Ability to write complex database queries and test scripts.
* Strong process orientation and knowledge of the software development life cycle.
* Experience with online database searching.
* Excellent verbal/written communication and problem-solving skills.
* Extremely detail oriented.