ironquill.tech/board

$ cat jobs/product-manager-semantics-adoption-knowledge-modelling-nagarro1-b8f2bcd9382f.json

Product Manager (Semantics Adoption & Knowledge Modelling)

Nagarro1ยทWorldwideยทParis, FRยทmid
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๐Ÿ‘‹๐Ÿผ We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale โ€” across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us. Role Purpose Enable the successful adoption of the platform's semantic abstraction layer by building practical knowledge across EcoStruxure Platform team and the LoBs. This role requires strong knowledge around modelling expertise and bridges the gap between semantic technology and the operational reality of teams that are new to ontology-based approaches. Core Responsibilities EcoStruxure Platform team enablement Train platform architects and engineers on semantic modeling fundamentals: OWL/RDF/S standards, graph database operation, ontology design patterns, and common pitfalls Guide the engineering team on the correct implementation of the ontology management service ensuring technical decisions serve business intent Establish EcoStruxure Platform's semantic standards: naming conventions, annotation requirements, foundational ontology alignment patterns, and shared vocabularies (shared responsibility with other teams in Schneider) LoBs Enablement Work directly with each LoB's Subject Matter Experts and Data Modelers to author their first canonical domain models (hands-on, not theoretical) Conduct structured working sessions where Subject Matte