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Senior Knowledge Architect

vor 2 Monaten

Munich, Bayern, Deutschland Amazon Development Center Germany GmbH Vollzeit
About the Role

We are seeking a highly skilled Senior Knowledge Architect to join our team at Amazon Development Center Germany GmbH. As a Senior Knowledge Architect, you will play a key role in developing and maintaining our product knowledge foundation, ensuring that our customers have a seamless and intuitive experience when shopping on Amazon.

Key Responsibilities
  • Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog
  • Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference
  • Create new schema using Generative Artificial Intelligence (generative AI) models
  • Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally
  • Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph
  • Contribute to team goal setting and future state vision
  • Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions
  • Develop team operational excellence programs, data quality initiatives and process simplifications
  • Evangelize ontology and semantic technologies within and across teams at Amazon
  • Develop and refine data governance and processes used by global Ontologists
  • Mentor and influence peers
About the Team

Our team has a global presence and celebrates diverse cultures and backgrounds within our team and our customer base. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs.

About Amazon Development Center Germany GmbH

Amazon Development Center Germany GmbH is a leading technology company that is committed to innovation and customer satisfaction. We offer a dynamic and inclusive work environment that values diversity, equity, and inclusion.

Requirements
  • Master's degree in Library Science, Information Systems, Linguistics or other relevant fields
  • 5+ years of relevant work experience working in ontology and/or taxonomy roles
  • Proven skills in data retrieval and data research techniques
  • Ability to quickly understand complex processes and communicate them in simple language
  • Experience creating and communicating technical requirements to engineering teams
  • Ability to communicate to senior leadership (Director and VP levels)
  • Experience with generative AI (e.g. creating prompts)
  • Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)
  • Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty)
  • Detail-oriented problem solver who is able to work in fast-changing environment and manage ambiguity
  • Proven track record of strong communication and interpersonal skills
  • Proficient English language skills