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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_db261609-388"},"title":"Principal Data & Ontology Architect - AI Enablement","description":"<p>We are looking for a Principal Data &amp; Ontology Architect to support the implementation and adoption of data and ontology enablement practices and standards within Control Tower Operations to support scalable, governed, and business-aligned AI initiatives.</p>\n<p>The successful candidate will serve as the primary bridge between Business Units, Global IT, and Control Tower Operations, ensuring shared understanding of data practices, workflows, and requirements. They will apply established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Supporting the implementation and ongoing maintenance of ontology enablement practices and operating model strategy to support AI, analytics, and digital initiatives across multiple Business Units</li>\n<li>Applying established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management</li>\n<li>Serving as the enterprise subject-matter authority for ontology-related topics, providing recommendations and guidance to governance and leadership forums</li>\n<li>Collaborating with Global IT and enterprise data architecture to ensure ontology practices align with enterprise data platforms and Control Tower operational processes</li>\n</ul>\n<ul>\n<li>Partnering with Business Units to understand domain concepts, terminology, operational data, and AI use cases, translating them into ontology-aligned data structures</li>\n<li>Guiding Business Units in contributing domain models, metadata, and data assets into the enterprise ontology using defined governance and intake processes</li>\n<li>Enabling repeatable onboarding of Business Unit data into AI initiatives, reducing reliance on ad-hoc IT engagement and minimizing duplicated effort</li>\n</ul>\n<ul>\n<li>Serving as a liaison between Business Units and Global IT for AI data and ontology-related matters</li>\n<li>Engaging with Global IT teams to understand enterprise data platforms, workflows, standards, and operational constraints</li>\n<li>Translating Global IT practices, requirements, and workflows into clear, actionable guidance for Business Unit data stewards</li>\n</ul>\n<ul>\n<li>Educating, guiding, and supporting Business Unit data stewards on their roles in data governance, ontology contribution, and AI data enablement</li>\n<li>Supporting the development and documentation of workflows, expectations, and operating models for how BU data stewards engage with the Control Tower and Global IT</li>\n</ul>\n<ul>\n<li>Ensuring Business Unit Data Stewards understand how to prepare, govern, and submit data assets for ontology integration and AI use</li>\n<li>Promoting consistent adoption of governance, quality, and semantic standards across Business Units</li>\n</ul>\n<ul>\n<li>Supporting integration of data and ontology enablement into Control Tower workflows</li>\n<li>Providing operational insight into data readiness, semantic risks, and governance gaps to inform Control Tower decision-making</li>\n<li>Identifying systemic issues and contributing recommendations to drive continuous improvement of data enablement processes</li>\n</ul>\n<ul>\n<li>Ensuring semantic integrity, data quality, lineage, and consistency are maintained as data assets flow into AI solutions</li>\n<li>Identifying systemic issues and recommending continuous improvement opportunities to Control Tower Operations leadership</li>\n<li>Influencing corrective actions, tooling investments, or governance updates to mitigate long-term risk</li>\n</ul>\n<p>This role requires a minimum of 10 years of relevant work experience in data architecture, data governance, ontology development, semantic modeling, or related disciplines, supporting cross-functional initiatives spanning multiple business units and IT organizations.</p>\n<p>The ideal candidate will have in-depth expertise in ontology design, semantic modeling, and domain-driven data architecture, as well as experience contributing to the development and implementation of data and ontology strategies. They will also have demonstrated experience serving as a bridge between business stakeholders and IT organizations, with a strong ability to translate technical platforms, workflows, and constraints into business-understandable guidance.</p>\n<p>A Bachelor&#39;s level degree or diploma in Computer Science, Data Science/Engineering, Applied Mathematics/Statistics, Electronics/Electrical, Information Technology/Information Sciences, or a related field of study is required. A Master&#39;s or Ph.D. degree is preferred.</p>\n<p>The successful candidate will be comfortable operating in ambiguous, evolving environments with enterprise-level impact, and will have a systems-thinking mindset with understanding of AI, analytics, and enterprise data platforms.</p>\n<p>Highly desirable skills include proficiency in OWL (Web Ontology Language), RDF/RDFS – graph-based data model, storage in graph databases such as Neo4j or Amazon Neptune, and querying using SPARQL for RDF-based ontologies.</p>\n<p>This is an onsite job based at our ADC, Raymond, OH office. One telecommuting workday per week may be possible with prior departmental approval.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_db261609-388","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Honda","sameAs":"https://careers.honda.com","logo":"https://logos.yubhub.co/careers.honda.com.png"},"x-apply-url":"https://careers.honda.com/us/en/job/10812/Principal-Data-Ontology-Architect-AI-Enablement","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$120,400.00 - $150,500.00","x-skills-required":["ontology design","semantic modeling","domain-driven data architecture","data governance","AI data enablement","data quality","lineage","consistency","OWL (Web Ontology Language)","RDF/RDFS – graph-based data model","graph databases","Neo4j","Amazon Neptune","SPARQL"],"x-skills-preferred":["ontology development","data architecture","data science","electronics","electrical","information technology","information sciences"],"datePosted":"2026-04-22T17:21:24.743Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raymond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"ontology design, semantic modeling, domain-driven data architecture, data governance, AI data enablement, data quality, lineage, consistency, OWL (Web Ontology Language), RDF/RDFS – graph-based data model, graph databases, Neo4j, Amazon Neptune, SPARQL, ontology development, data architecture, data science, electronics, electrical, information technology, information sciences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":120400,"maxValue":150500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4c199de2-f4c"},"title":"Staff Backend Engineer, Core Entities Data Foundation","description":"<p>Job Title: Staff Backend Engineer, Core Entities Data Foundation</p>\n<p>Location: Remote - US</p>\n<p>Department: Software Engineering</p>\n<p>Job Description:</p>\n<p>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe.</p>\n<p>Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</p>\n<p>The Community You Will Join:</p>\n<p>Marketplaces Data and AI is a group of passionate machine learning, software, data, and analytics engineers. We are responsible for developing new, cutting-edge AI and data products that leverage Airbnb’s massive datasets across Users, Listings, Pricing, and Supply/Demand.</p>\n<p>You will be a crucial part of the Guest and Host organization, developing a semantic model for our Core Entities and Events that powers the experiences of millions of guests and hosts globally.</p>\n<p>The Difference You Will Make:</p>\n<p>You will own some of the most critical data systems at Airbnb, building a semantic model that autonomously drives both infrastructure and code changes. This role will focus on building new capabilities in our data ecosystem: a platform that proactively detects issues, orchestrates solutions and seamlessly integrates human-in-the-loop workflows for expert guidance.</p>\n<p>Your contributions will shift Airbnb from storing massive amounts of data to intelligently organizing and utilizing it, empowering our product and operations teams to move faster and deliver a resilient, high quality experience for our global community of Guests and Hosts.</p>\n<p>A Typical Day:</p>\n<ul>\n<li>Develop an actionable technical strategy from our ambitious vision to drive infrastructure and code from a semantic model of the business</li>\n</ul>\n<ul>\n<li>Improve and expand our detection systems to find more complex issues and integrate human-in-the-loop workflows for subject matter expert guidance</li>\n</ul>\n<ul>\n<li>Architect and develop systems that autonomously orchestrate infrastructure and code changes based on findings from our detection platforms</li>\n</ul>\n<ul>\n<li>Partner closely with Machine Learning, Data Engineering, and Product teams to ensure deep integration in the product space, not just a siloed project.</li>\n</ul>\n<ul>\n<li>Identify areas for improvement, champion the adoption of best practices in engineering architecture, perform technical design reviews, and enhance our software engineers across team boundaries.</li>\n</ul>\n<ul>\n<li>Research the latest innovations in semantic modeling and AI-driven infrastructure, actively sharing these insights to act as a thought leader within Airbnb’s engineering organization.</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>9+ years of relevant software development industry experience in a fast-paced tech environment</li>\n</ul>\n<ul>\n<li>BS, MS or PhD in CS or related field</li>\n</ul>\n<ul>\n<li>Expertise with backend systems in large-scale service-oriented architectures</li>\n</ul>\n<ul>\n<li>Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality</li>\n</ul>\n<ul>\n<li>Strong understanding of how deep backend systems are expressed in the UX shown to customers</li>\n</ul>\n<ul>\n<li>End-to-end mentality that transcends team boundaries and helps find globally optimal solutions</li>\n</ul>\n<ul>\n<li>Excellent communication skills and the ability to work well within a team and with teams across the engineering organization</li>\n</ul>\n<ul>\n<li>Passionate about efficiency, availability, system quality and user experience</li>\n</ul>\n<p>Your Location:</p>\n<p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.</p>\n<p>Pay Range $212,000-$265,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4c199de2-f4c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7774153","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$212,000-$265,000 USD","x-skills-required":["backend systems","large-scale service-oriented architectures","semantic modeling","AI-driven infrastructure","data systems","infrastructure and code changes","human-in-the-loop workflows","expert guidance","data ecosystem","detecting issues","orchestrating solutions","technical design reviews","engineering architecture","software engineers","team boundaries","globally optimal solutions","communication skills","team collaboration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:43.689Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend systems, large-scale service-oriented architectures, semantic modeling, AI-driven infrastructure, data systems, infrastructure and code changes, human-in-the-loop workflows, expert guidance, data ecosystem, detecting issues, orchestrating solutions, technical design reviews, engineering architecture, software engineers, team boundaries, globally optimal solutions, communication skills, team collaboration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":212000,"maxValue":265000,"unitText":"YEAR"}}}]}