Publishing and Content Domain Architect

Oxford University Press; Oxford; On-site; GBP 90,000 - 125,000; Full time

Job summary

Oxford University Press is seeking a Publishing and Content Domain Architect to lead governance of reference data and semantic metadata, align data models with business needs, and drive standardization across publishing and product domains.

The role requires collaboration with SMEs, mapping data formats, enabling data quality, and shaping the data strategy and roadmap. Hybrid work requires 2 days per week in Oxford.

Job description

About the Role

The Publishing and Content Domain Architect role is responsible for working with business stakeholders and external data standards to surface, assess, align, and raise requirements for publishing and content reference data and metadata, including elements, attributes, and structures required for content, publishing, and product functionality, display, discovery, tracking, sales, and reuse across all product formats. It places emphasis on consolidating and providing reference and semantic metadata values across data sets aligned with industry standards. The role will align the data model with associated data application solutions (including system architecture alignment with the data model and testing system developments against the data model); and provide governance and management of reference data and semantic metadata values aligned across OUP’s publishing and content data domains.

The role involves contributing to the Publishing and Content Data strategy and roadmap, leading use case discovery with SMEs, and assessing requirements for data formats, structures, and metadata. Responsibilities include monitoring and regular reviewing reference and semantic data, surfacing enrichment capabilities, raising requirements for data applications, and ensuring alignment with cross-divisional domain models. The role also covers research and development to map, standardize, and propose improvements to data models, testing new metadata solutions, and ensuring efficient system data flows. Additionally, the position acts as an SME, maintains governance documentation, and ensures consistent data definitions and guidelines across domains and divisions.

We operate a hybrid working policy that requires a minimum of 2 days per week in the Oxford office.