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Roche

Global pharmaceuticals and diagnostics company

Clinical Data Standards and Master Data Digital Solution Lead

Biology & BiotechConfirmed live in the last 24 hours
Full-timeMadrid, SpainNo salary listedIn-person

About the Job

Requirements

  • Extensive experience leading strategic, cross-functional initiatives in clinical data, data standards, metadata, master data, or informatics within pharma, biotech, or another regulated environment.
  • Proven experience defining or operationalizing Clinical Data Interchange Standards Consortium standards, including Clinical Data Acquisition Standards Harmonization, Study Data Tabulation Model, Analysis Data Model, Define-XML, and controlled terminology, and embedding them into business processes, governance, and technology solutions.
  • Strong experience partnering across business and information technology teams to shape domain roadmaps, data governance models, operating practices, and supporting technologies for standards and master data at scale.
  • Experience overseeing delivery of business-critical data or metadata platforms, including vendor or partner governance, release planning, issue escalation, service health monitoring, and coordination across matrixed teams.
  • Deep knowledge of clinical data standards, including Clinical Data Interchange Standards Consortium standards, controlled terminology, metadata management, standards lifecycle management, and traceability from collection through analysis and submission.
  • Strong expertise in semantic modelling, including canonical data models, ontology and knowledge representation concepts, and semantically enriched metadata structures that enable interoperability and machine-readable data assets.
  • Solid understanding of master data and reference data management principles, including stewardship, data quality controls, hierarchies, versioning, lineage, and change management.
  • Experience working with data integration patterns, application programming interfaces, metadata repositories, cloud data platforms, or graph and semantic technologies, with the ability to translate domain needs into scalable technology requirements.
  • Ability to establish key performance indicator dashboards and structured tracking for milestones, incidents, defects, dependencies, and operational risk, and to use those insights to drive accountable delivery across internal teams and external partners.
  • Familiarity with quality engineering and compliance practices such as automated testing, audit trails, change control, access governance, and management of technical debt or non-functional requirements in Good Practice-relevant environments.

Responsibilities

  • Lead the domain vision for Clinical Data Standards, Master Data, and supporting technologies, shaping cross-functional strategy, governance, priorities, and delivery models.
  • Act as a subject matter expert in Clinical Data Interchange Standards Consortium standards, master/reference data management, and semantic modelling, while setting expectations for platform health, release quality, and vendor or partner accountability.
  • Lead resolution of complex issues spanning data standards adoption, metadata definition, master data stewardship, technology integration, and downstream consumption.
  • Establish transparent tracking for roadmap delivery, defects, incidents, and service health; anticipate gaps in process, governance, and architecture; conduct root cause analysis across organizational boundaries; and drive sustainable solutions that improve data quality, lineage, platform reliability, and operational efficiency.
  • Build trusted partnerships across scientific, operational, technical, regulatory, architecture, informatics, and external delivery stakeholders.
  • Translate between scientific, operational, and technical stakeholders, act as a liaison between business owners and technical delivery teams, and escalate material risks, blockers, and resource needs.
  • Define and drive the roadmap for clinical standards and master data capabilities, including evolution of the Global Clinical Data Standards Repository, Lynx, metadata services, and semantic assets.
  • Connect domain strategy to broader enterprise data and artificial intelligence ambitions while shaping success measures, increment planning, and the longer-term capability view.
  • Operate across a highly interconnected domain supporting multiple studies, programs, vendors, and downstream consumers, balancing regulatory expectations, business priorities, service continuity, and technical constraints.
  • Combine business consulting skills with technical fluency in Clinical Data Interchange Standards Consortium standards, semantic modelling, metadata-driven architecture, data modelling, master data technologies, and delivery governance.
  • Lead technology advocacy for the domain, shape requirements for in-house solutions, support use of Roche delivery frameworks such as SPEED, and promote automation, traceability, and quality engineering practices that enable scalable, compliant reuse.

Desired Qualifications

  • Experience in clinical development, regulatory data flows, or artificial-intelligence-ready data foundations is highly desirable.
  • Exceptional stakeholder management and communication skills, including the ability to influence senior leaders, mentor peers, and build Communities of Practice across matrixed and multi-partner teams.
  • Ability to drive proactive onboarding, offboarding, and knowledge-transfer practices that reduce delivery risk and strengthen long-term maintainability of standards and master data platforms.

About the Company

Roche

Global pharmaceuticals and diagnostics company

Roche is a global leader in pharmaceuticals and diagnostics. It develops medicines and diagnostic tools that help detect, monitor, and treat diseases, using research and biotechnology to drive new therapies and tests. Roche combines drug development with in-house diagnostic products to support personalized medicine, where treatments are tailored to individual patients based on test results. Its approach differs from many peers by integrating drug discovery with diagnostic capabilities and by expanding its research through strategic acquisitions (like Genentech) to strengthen its biotechnology and R&D capabilities. The company’s goal is to improve patient outcomes and healthcare worldwide by delivering reliable medicines, accurate diagnostic tests, and data-driven care.

Company size
1-10
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1896

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