Director, R&D Data Science, Data Products

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain

Job Description:

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a 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. This position requires up to 25% travel.

About Innovative Medicine

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.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at

Position Summary

The 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 (RWD/RWE)—are standardized, productized, and integrated into Janssen's enterprise R&D data ecosystem.

Working closely with Global Development Data Science teams, Clinical Development, Operations, and Regulatory stakeholders, as well as the broader Data Strategy & Products organization, this leader ensures that Global Development data products are AI-ready, semantically consistent, and interoperable, enabling trial efficiency, regulatory readiness, and improved compliance outcomes.

Key Responsibilities:

Data Product Strategy & Execution

• Lead a team to define and deliver data products addressing critical Global Development use cases (e.g., study startup, TMF metadata, operational KPIs, submission readiness).
• 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.

Ontology & Semantic Modeling

• 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 (e.g., CDISC, HL7 FHIR,etc).

Collaboration & Integration

• Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Global Development 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.

Team & Operating Model Leadership

• 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 Global Development data products.

Value Realization & Communication

• 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.

Strategic Impact

• The Director, Data Products – Global Development ensures Global Development data is transformed into trusted, AI-ready products that accelerate study startup, improve operational insights, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Global Development data as a strategic asset that enables trial efficiency, compliance, and innovation across Janssen R&D.

Qualifications

Education

• PhD or Master's in informatics, computer science, life sciences, or related discipline.
• 8+ 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 & Expertise

• Deep 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 (e.g., 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.

Required Skills:

Preferred Skills:

Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning