Does the idea of managing a team whose goal is to develop world class ontologies and taxonomies to organize Amazon’s mammoth selection of products sound fun to you? Are you as obsessed with the customer experience as you are with managing, mentoring, and developing Ontologists?
We are looking for a smart, passionate, detail-oriented leader to join our Product Knowledge Ontology leadership team. The vision of the Product Knowledge Ontology Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences, and internal enrichment of product data. As an Ontology Manager, you will have the opportunity to support global content strategies while advocating for innovative local customer product discovery experiences. You will manage a team of Ontology data modeling experts and will work with a group of experienced management peers and engineering partners to develop comprehensive taxonomy and ontology solutions to optimize global, online product discovery for our Amazon Web and Mobile experiences.
Ontology Manager Responsibilities:
- Manage a team of Ontologists who develop ontology data models and standards to define and organize our customer shopping experience
- Expand and refine data retrieval techniques to use our extensive product catalog and to improve customer data quality
- Drive and coordinate cross-functional projects with a broad range of engineers, designers, product & program managers and other groups that may include architecting new data solutions
- Analyze website metrics and customer behavior data to make intelligent decisions on optimizing our ontology models
- Build roadmaps, reporting to Product Knowledge leadership as well as business leadership
- Partner with Ontology Managers and Ontologists globally to align on standard modeling best practices and meaningful local exceptions
- Develop team operational excellence programs, data quality initiatives and process simplifications
- Contribute to team goal setting and future state vision
- Degree in Library Science, Information Systems, Linguistics or equivalent professional experience
- 5-10+ years experience directly managing a team in an Ontology, Taxonomy, Catalog, or Content development organization in E-Commerce or Tech environment
- 5+ years experience in Ontology or Taxonomy development
- Proven leadership skills and teamwork skills. You have experience guiding, coaching, hiring, and promoting a team and can balance diving deep enough to support your team’s day-to-day needs while also thinking big enough to raise the bar
- Excellent project management skills and experience managing complex roadmaps
- Great verbal communication skills with the ability to present complex technical and metadata information in a clear and concise manner to a variety of technical and non-technical audiences
- Experience working with aggressive deadlines and in production environments
- Proficient English language skills
- Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields
- Experience in e-commerce or technology organizations preferred
- Proven ability to work and deliver effectively in global cross-functional teams
- Passionate about website usability and the role of metadata in improving customer shopping experiences
- Detail-oriented, self-motivated, and calm under pressure
- Familiarity with software engineering life cycle and ontology manipulation programming libraries
- Exposure to data science solutions, machine learning (ML), and large language models (LLM)
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
m/w/d
