Solution Architect - ERP D2P Data & Analytics

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The 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.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.