Director, R&D Data Science, Data Products

hace 2 semanas


Madrid, España Johnson & Johnson A tiempo completo

Director, R&D Data Science, Data Products – Global DevelopmentJohnson & Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson, is recruiting for the Director, R&D Data Science, Data Products – Global Development. This position has a primary location of Madrid, Spain but is also open to Barcelona, Spain and requires up to 25% travel.Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science‑based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.Position SummaryThe Director, Data Products – Global Development is responsible for leading the strategy, design, and delivery of user‑centric, reusable data products that enable advanced analytics, data science and AI/ML solutions across the Global Development organization. This role ensures that high‑value internal and external development data assets—including protocol, study design, operational, regulatory, disclosure, and real‑world data—are standardized, productized and integrated into Janssen’s enterprise R&D data ecosystem.Key ResponsibilitiesLead a team to define and deliver data products addressing critical Global Development use cases.Define and maintain a roadmap for Global Development data products spanning protocol development through clinical trial disclosure.Develop data products through agile delivery and FAIR data principles, ensuring scalability, interoperability, and reuse across Janssen functions and external partners.Integrate internal and external Global Development data sources, including CRO‑provided datasets, performance benchmarks, and regulatory datasets.Contribute to the development and governance of a Global Development Ontology to enable semantic consistency across operational and regulatory domains.Align Global Development Ontology with enterprise metadata standards and external frameworks such as CDISC and HL7 FHIR.Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs.Collaborate with Global Development stakeholders—including Clinical, Regulatory, Medical Writing, QA, and Safety—to co‑create solutions that maximize the value of development data assets.Interface with regulatory and compliance teams to ensure data products meet submission, disclosure, and transparency requirements.Lead a cross‑functional team of product owners, data engineers, and Global Development domain experts.Establish governance models, agile delivery processes, and value‑tracking metrics for data products.Define and track KPIs to measure the impact of data products on study startup times, operational insights, and regulatory compliance.Communicate product vision, roadmap, and value realization to Global Development leadership, Data Science teams, and executive stakeholders.Champion data literacy and adoption within the Global Development organization.Ensure Global Development data is transformed into trusted, AI‑ready products that accelerate study startup, improve operational insights, and strengthen regulatory readiness.QualificationsEducationPhD or Master’s in informatics, computer science, life sciences, or related discipline.Experience8+ years of experience in pharma/biotech R&D with focus on clinical development, operations, regulatory, or data product management.Strong track record in data product development, integration, or semantic modeling in a regulated domain.Experience working with multi‑modal development data, including clinical trial, protocol, operational, submission, and disclosure datasets.Skills & ExpertiseDeep knowledge of Global Development processes, clinical trial design, and regulatory requirements.Deep knowledge of data products, database design, data transformation/mapping.Familiarity with metadata management, ontologies, knowledge graphs, and industry standards such as CDISC, FHIR, ICH.Strong leadership, collaboration, and communication skills with ability to translate technical strategy into business/science value.Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization.Preferred SkillsAdvanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Visualization.Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning.#J-18808-Ljbffr



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