Bei Roche kannst du ganz du selbst sein und wirst für deine einzigartigen Qualitäten geschätzt. Unsere Kultur fördert persönlichen Ausdruck, offenen Dialog und echte Verbindungen. Hier wirst du für das, was du bist, wertgeschätzt, akzeptiert und respektiert. Dies schafft ein Umfeld, in dem du sowohl persönlich als auch beruflich wachsen kannst. Gemeinsam wollen wir Krankheiten vorbeugen, stoppen und heilen und sicherstellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und in Zukunft. Werde Teil von Roche, wo jede Stimme zählt.

Die 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 ascalable, business-aligned data architecture for ERPDemand-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
- Balanceconsistency, scalability, and domain ownership
- Establish reusable patterns fordata 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
- DefineConceptual, 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

- Solid 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.

Wer wir sind

Eine gesündere Zukunft treibt uns zur Innovation an. Mehr als 100.000 Mitarbeiter weltweit arbeiten gemeinsam daran, wissenschaftliche Fortschritte zu erzielen und sicherzustellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und für zukünftige Generationen. Durch unser Engagement werden über 26 Millionen Menschen mit unseren Medikamenten behandelt und mehr als 30 Milliarden Tests mit unseren Diagnostik-Produkten durchgeführt. Wir ermutigen uns gegenseitig, neue Möglichkeiten zu erkunden, Kreativität zu fördern und hohe Ziele zu setzen, um lebensverändernde Gesundheitslösungen zu liefern.

Gemeinsam können wir eine gesündere Zukunft gestalten.

Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.

📌 Solution Architect - ERPP Data & Analytics (Pune)
🏢 Roche
📍 Pune