Data Architect

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The Position

The Lead Data Architect Clinical Imaging and AI Platforms will lead the design governance and evolution of enterprise imaging and multi-modal data ecosystems ensuring alignment with GxP SaMD FAIR and clinical data governance frameworks. This role serves as the strategic bridge between scientific business and technology organizations across Research Product Development RIS and RDT translating business priorities into scalable secure and interoperable data architectures.

The role is responsible for defining enterprise data architecture strategy and establishing standards for metadata interoperability lineage and AI-ready data models. It will enable scalable analytics and AI/ML workflows for Research (REDs) and Product Development(PD) while driving modernization of imaging data platforms in partnership with engineering informatics and governance teams.

Job Responsibilities

• Define and execute the enterprise data architecture strategy and roadmap for multi-modal imaging and research data within the Global Imaging Platform (GIP).

• Design scalable and interoperable data architectures supporting Radiology Digital Pathology AI/ML clinical and translational research workflows.

• Establish and enforce standards for data modeling metadata management lineage interoperability cataloging and governance across structured and unstructured datasets in close partnership with the Data managers and Study teams.

• Lead the design and implementation of cloud-native data platforms data lakes/lakehouses and distributed analytics ecosystems supporting global R&D and clinical initiatives.

• Partner with scientific clinical and technical stakeholders to translate business and research requirements into scalable compliant and reusable data solutions.

• Act as the primary architecture lead for imaging and multi-modal data ecosystems coordinating across gRED pRED PD RDT RIS and enterprise IT functions.

• Ensure alignment with GxP FAIR standards HIPAA/GDPR security privacy and enterprise governance standards across all data architecture initiatives.

• Drive enterprise-wide adoption of common data models interoperability standards APIs and semantic frameworks to improve data accessibility and reusability.

• Collaborate with engineering and platform teams to design robust data ingestion transformation storage and access patterns optimized for AI/ML and advanced analytics focussed on biomarker research and analysis of Imaging data.

• Define architecture patterns for high-volume imaging and pathology data including metadata indexing streaming archival and federated access strategies.

• Lead modernization efforts for legacy data environments towards scalable and efficient hybrid architectures.

• Drive automation and standardization across data lifecycle management data quality monitoring observability and governance workflows.

• Oversee architecture reviews technical governance and cross-functional design decisions to ensure consistency scalability and operational excellence.

• Identify and implement opportunities to improve scalability cost optimization performance automation and operational efficiency across enterprise data platforms.

• Monitor emerging technologies and industry trends in data platforms imaging data formats AI/ML ecosystems digital pathology interoperability and data standards to guide innovation and future-state architecture.

• Drive the evolution of AI-ready and semantically enriched data architectures that support advanced analytics machine learning and emerging generative AI use cases.

• Promote AI-enabled automation and metadata-driven architectures to accelerate analytics reproducibility compliance and operational efficiency.

• Foster a culture of continuous improvement technical excellence collaboration and knowledge sharing within Roches global data and imaging community.

• Contribute to enterprise architecture review boards and governance councils to ensure alignment with long-term platform and data strategy.

Qualifications:

• Preferably has 8 - 10 years of industry experience in the relevant fields and supporting education in Technology.

• Demonstrated experience defining technical direction coaching junior architects and engineers and successfully driving medium to large-scale enterprise data initiatives across complex organizations.

• Proven track record contributing to enterprise architecture strategy for major data platforms products or services within regulated or highly governed environments.

• Deep expertise in enterprise data architecture distributed data systems cloud-native platforms and scalable analytics ecosystems.

• Strong experience designing modern data platforms using technologies such as Snowflake Databricks AWS Datastores Azure GCP or equivalent cloud ecosystems.

• Expertise in data modeling methodologies metadata management master/reference data management data lineage and enterprise data governance frameworks.

• Strong understanding of healthcare and life sciences interoperability standards such as DICOM HL7/FHIR OMOP CDISC SDTM or related frameworks.

• Experience architecting AI/ML-ready data environments supporting advanced analytics model training reproducibility and operational deployment.

• Proficiency designing scalable ingestion and processing architectures for large-scale structured and unstructured datasets including imaging and digital pathology data.

• Experience implementing reusable Infrastructure as Code (IaC) frameworks CI/CD pipelines and automated deployment patterns for cloud data platforms.

• Ability to design observability monitoring data quality and operational resilience frameworks across interconnected enterprise systems.

• Strong background in security architecture privacy controls access management and regulatory compliance in healthcare or life sciences environments.

• Strong coaching and mentorship skills including experience mentoring senior engineers other architects and platform teams while promoting architectural consistency and engineering quality.

• Strong communication and stakeholder management skills capable of translating complex technical concepts into business value and building partnerships across scientific engineering clinical and executive stakeholders.

• Practical experience working with regulatory quality and compliance teams to align enterprise data practices with Roche QMS and governance requirements.

• Experience supporting globally distributed teams and driving alignment across multiple organizations platforms and strategic initiatives.

Who we are

A healthier future drives us to innovate. Together more than 100000 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.

Lets build a healthier future together.

Roche is an Equal Opportunity Employer.