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The Support Products & Services (SP&S) team is looking for a strategic, results-oriented Sr. Information Architect to define the technical strategy, data sources, and retrieval methods of help content, advertising policies and specs used by advertisers, SOPs used by call-center associates, and support case data used by product and program managers. In this role, you will be responsible for designing the overall information architecture, including ontologies, and metadata schemas, to facilitate efficient knowledge management, and user-friendly content navigation.As Sr. Information Architect, you will own medatada models, conditionalization, and classification schemas across our content. You will partner effectively with stakeholders and engineering teams to define both business requirements and technical strategy. You will use your exemplary data retrieval and analysis skills to deliver innovative solutions to customer problems in known or new user experiences. You will have the opportunity to directly impact the customer experience by making it easy for advertisers to grow their business using Amazon Ads.
Key job responsibilities- Drive the creation and governance of data definitions, terminology standards, and taxonomy management.
- Provide design and technical support for new product launches that require new data architecture solutions.
- Create process documents, functional specifications, user stories, and other artifacts to describe the intended user experience.
- Support maximum reusability in multiple contexts by designing for high-quality, multi-format outputs in multiple languages.
- Analyze website metrics and content discovery behaviors to make data-driven decisions on optimizing our taxonomy and content models globally, owning help center search and browse performance.- Own a roadmap that allows for both immediate, easy-win improvements but ultimately lead to a revolutionary change in how we store and access information.
- BS degree in Information Science, Library Science, or related field, or equivalent work experience
- 5+ years of relevant work experience working in ontology and/or taxonomy roles
- Experience translating business needs into scalable and sustainable information models
- Experience with content management systems (CMS)
- Experience with content management using HTML and XML/DITA
- Experience supporting a multi-language content/publishing environment
- Develop and manage complex data pipelines and create country specific knowledge products
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