This Vacancy is now closed.
Oxford - Central
Oxford University Press is a department of the University of Oxford, which furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide.
The Global Academic Business (GAB) Division publishes books, journals and digital resources for the research, professional and higher education markets.
Our prestigious and award-winning range of online and digital products including Oxford Scholarship Online, the Oxford English Dictionary Online, and Oxford Reference Online. Systems and content underpin these products and our expanding digital portfolio.
Good link architecture in websites not only improves the user experience, it is essential to making content discoverable.
We are recruiting for a Link Architect in GAB-IT to design and help implement a strategy for the creation of links to related content across the breadth of OUP online products, and beyond. You will specify and develop the standards, tools, and processes for the systematic creation of product appropriate links so that GAB’s content enhances the user experience and improves usage.
You will work with editors, online development managers and marketing specialists to research and trial tools, methods and approaches to enhancing linking content and assess suitability for implementation in GAB. You will also work with data engineers and systems analysts to define XML data standards in content creation, enhancement, and storage to better enable the systematic.
You will be able to plan, manage, and implement projects as part of the link architecture strategy, including identifying benefits and preparing business cases. You will need to develop and maintain close links with stakeholders at all levels, analyse and challenge business requirements, propose options, seek approval, work with suppliers and internal teams, and plan and control projects.
The ideal candidate will demonstrate -
• knowledge of XML and related technologies (XPath, XSLT, XQuery etc.) and experience of modelling and processing digital data (ideally gained in the publishing industry)
• experience of Perl programming and an understanding of the software lifecycle
• assessment and implementation of authorities, taxonomies, ontologies, or other classification systems
• parsing or matching content in large quantities of data (for example through exploiting databases or language engineering)
• knowledge of trends and technologies in text mining, and an understanding of search engine optimisation
• knowledge of RDF, SPARQL and preferably some experience of publishing Linked Data and linking to other datasets
firstname.lastname@example.org (This email address is for queries only. To apply for this vacancy please click on the orange ‘Apply’ button below)
Depending on skills and experience. OUP offers a full range of supporting benefits.
23 July 2012