Chez Roche, vous pouvez être vous-même et être apprécié pour les qualités uniques que vous apportez. Notre culture encourage l'expression personnelle, le dialogue ouvert et les connexions authentiques, où vous êtes valorisé, accepté et respecté pour ce que vous êtes, vous permettant de prospérer tant personnellement que professionnellement. Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Rejoignez Roche, où chaque voix compte. La position The Solution Architect focuses on designing business-driven, standards-based, and future-ready solutions within a specific solution context. In this role, you will design a scalable, business-aligned data architecture for ERP Demand-to-Pay (D2P) analytics that meet product requirements, business priorities, and enterprise standards while managing non-functional requirements (NFRs) and fitness functions. You will develop and maintain the product's technology roadmap, provide technical oversight to product teams, and evaluate new technologies to continuously improve existing solutions and manage technical debt. Description of the area The Demand to Pay (D2P) Data & Analytics area is responsible for driving the end-to-end Procurement, Accounts Payable and Travel & Expense Management Data & AI strategies, by translating Functional strategies into measurable business outcomes. This includes supporting data product management and providing comprehensive analytics for our key stakeholders - Global Procurement, Diagnostics Direct Procurement and RSS Operations. This work is based on the foundation of the Roche Group Data & AI strategies leveraging various global platforms. Job Responsibilities • Define End-to-End Data Solution Architecture • Design how D2P data is collected, integrated, and consumed • Establish platform strategy (cloud / on-prem / hybrid) • Own Data Platforms & Components • Architect data pipelines, DataProducts, and catalogs • Define ownership, governance, and lifecycle management • Drive Architecture Strategy • Implement Decentralized, or Hybrid models • Balance consistency, scalability, and domain ownership • Establish reusable patterns for data integration, sharing, and governance • Support Information Architecture: • Support business team in data governance (data risk, data privacy, retention policy, anonymization obligation, etc.) • Support other data domains in connecting D2P to other domains (Both ways, reused and sharing) • Support Data Mesh based data Management framework. • Apply recommendation for Global Data Strategy for cataloging and shopping experience • Lead Data Modeling • Define Conceptual, Logical, and Physical data models and semantic layer for AI • Align business processes (Demand → Procurement → Payment) with data structures • Enable Analytics & AI • Design scalable AI data & analytics solutions across structured/unstructured data, including NLP pipelines, embeddings, semantic search, RAG, Generative AI, and Agentic AI systems • Build cloud-native (AWS/Azure) AI pipelines and integrate seamlessly with enterprise APIs and external systems Qualifications A Bachelor's degree in Computer Science Engineering or a related discipline is required. Professional certifications such as TOGAF Practitioner, CDMP (Associate), or Zachman Associate are considered a plus. Education / Experience • 5+ years of experience in Data Architecture, or a similar role, with a proven track record of architecting and designing enterprise grade analytical and AI products • 2+ years of experience in the pharmaceutical, biotechnology, or regulated healthcare technology industry • 1+ years of experience in AI Architecture and emerging technology. • Experience maintaining the vision, roadmap, and current landscape for technical solutions, and assessing the impacts of initiatives on risk and application landscapes. Technical Skills • in-depth knowledge in Snowflake (mandatory), DBT, Talend, Cortex AI, NLP pipelines, embeddings, semantic search, RAG, Generative AI, and Agentic AI systems • Proficiency in creating Conceptual & Logical Data Models, Taxonomies, and Ontologies for solutions and interfaces. • Ability to define and drive reference architectures, patterns, NFRs, and fitness functions. • Strong capability to drive external technology trends and assess feasibility for the solution, including conducting vendor assessments. Additional Qualities • Strong communication and stakeholder management skills, with the ability to explain difficult or sensitive information and successfully build consensus. • Proactive mindset to identify opportunities to enhance value and business processes, improve existing solutions, and manage technical debt. Qui nous sommes Un avenir plus sain nous pousse à innover. Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique. Nous nous encourageons mutuellement à explorer de nouvelles possibilités, à favoriser la créativité et à conserver nos grandes ambitions, afin de fournir des solutions de santé qui changent des vies et ont un impact mondial. Construisons ensemble un avenir plus sain. Roche est un employeur offrant l'équité en matière d'emploi.