Senior Knowledge Architect, Product Ontology
vor 4 Wochen
Job Location:
Munich (this is not a remote opportunity).
The Ontology Product Knowledge Team envisions a unified, semantically rich, and easily accessible body of product knowledge that can be consistently leveraged across customer shopping experiences, seller listing processes, and internal product data enhancement.
By developing comprehensive product knowledge, we aim to semantically interpret customer intent, whether related to shopping objectives or seller product offerings.
We are dedicated to enhancing these experiences for all customers.
As an Ontologist, you will collaborate with a global team of knowledge architects to deliver exceptional, intuitive, and thorough taxonomy and ontology frameworks that enhance product discoverability for Amazon's web and mobile platforms.
Key Responsibilities:
- Design logical, semantically rich, and scalable data models for Amazon's vast product catalog
- Ensure our ontologies encompass comprehensive domain coverage suitable for both human and machine interpretation
- Develop new schemas utilizing Generative Artificial Intelligence (generative AI) models
- Analyze website metrics and product discovery behaviors to inform data-driven enhancements to our knowledge graph data models globally
- Expand and refine data retrieval techniques to leverage our extensive knowledge graph
- Contribute to team goal setting and future vision development
- Lead and coordinate cross-functional initiatives with a diverse range of merchandisers, engineers, designers, and other stakeholders, which may include architecting new data solutions
- Establish team operational excellence programs, data quality initiatives, and process optimizations
- Advocate for ontology and semantic technologies within and across teams at Amazon
- Develop and enhance data governance and processes utilized by global Ontologists
- Mentor and influence colleagues
Inclusive Team Culture:
Our team has a global footprint: we celebrate diverse cultures and backgrounds within our team and our customer base.
We are dedicated to fostering an inclusive culture, providing continuous access to internal affinity groups and promoting diversity initiatives.
Work/Life Balance:
Our team believes that achieving a healthy balance between work and personal life is essential. Our work is intertwined with everyday life, influencing it positively.
We offer flexible working hours and will collaborate with you to support your balance between professional and personal commitments.
Career Development:
Our team is invested in your career progression, from your initial onboarding and training sessions to ongoing support throughout your journey at Amazon.
We recognize each team member as an individual and will build on your skills to facilitate your growth.We encompass a diverse mix of experience levels and tenures, creating an environment that values knowledge sharing.
Benefits:
- You will have the chance to support customer experiences utilized by millions daily and work with data at an unparalleled scale.
- We have offices worldwide, offering opportunities for global placements.
- You will receive on-the-job training and group development opportunities.
- Degree in Library Science, Information Systems, Linguistics, or equivalent professional experience
- 5+ years of relevant experience in ontology and/or taxonomy roles
- Proven expertise in data retrieval and research methodologies
- Ability to swiftly comprehend complex processes and articulate them in straightforward language
- Experience in creating and conveying technical requirements to engineering teams
- Capability to communicate effectively with senior leadership (Director and VP levels)
- Experience with generative AI (e.g., prompt creation)
- Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL), and validation/reasoning standards (SHACL, SPIN)
- Familiarity with open-source and commercial ontology engineering tools (e.g., Protege, TopQuadrant products, PoolParty)
- Detail-oriented problem solver adept at navigating fast-paced environments and managing ambiguity
- Proven track record of strong communication and interpersonal skills
- Proficient English language skills
- Master's degree in Library Science, Information Systems, Linguistics, or other relevant fields
- Experience in building ontologies within the e-commerce and semantic search domains
- Experience with schema-level constructs (e.g., higher-level classes, punning, property inheritance)
- Proficiency in SQL, SPARQL
- Familiarity with the software engineering lifecycle
- Familiarity with ontology manipulation programming libraries
- Exposure to data science and/or machine learning, including graph embedding
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