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 https://www.jnj.com **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:** **Why This Role Matters** Global Development relies on high-quality, reusable, and interoperable data to accelerate trials, strengthen insights, and ensure regulatory readiness. The Senior Manager, Data Products Engineer will design, build, and deploy FAIR-compliant, ontology-aligned data products that integrate operational, regulatory, and scientific data across multiple therapeutic areas. You will turn roadmap requirements from the Data Strategy team into technical reality, ensuring data products are robust, scalable, and ready for analytics, AI/ML, and automation. **Key Responsibilities:** **Technical Build & Delivery** * Translate data product specifications into technical designs, architectures, and deployments aligned with enterprise standards. * Develop APIs, ETL/ELT pipelines, and integration layers to connect internal and external datasets. * Ensure adherence to FAIR data principles, semantic modeling, and the Global Development Ontology. **Platform Integration** * Partner with Data Platform teams to operationalize products in cloud and hybrid environments (Azure, AWS, GCP). * Integrate data from core Global Development systems — CTMS, EDC, eTMF, regulatory platforms, and CRO-provided datasets. * Optimize data flows for AI/ML readiness and predictive modeling use cases. **Quality, Compliance & Governance** * Implement automated validation, testing, and monitoring for data products. * Maintain version control, documentation, and audit-readiness practices. * Collaborate with governance teams to ensure data products meet quality, metadata, and regulatory compliance requirements. **Cross-Functional Collaboration** Work alongside: * Senior Manager, Data Strategy — aligning builds with strategic priorities and roadmap milestones. * Knowledge Management — enabling ingestion into the enterprise knowledge graph for reasoning and automation. * Regulatory Data Product Owner — delivering shared use cases in protocol metadata, submission readiness, and disclosure datasets. **Qualifications** **Education** * Bachelor’s or Master’s in Computer Science, Data Engineering, Data Science, Biomedical Informatics, or related discipline. * 6+ years in data engineering or technical delivery within pharma/biotech, ideally in clinical development environments. * Proven track record building productized data assets integrated with enterprise data architectures. * Expertise with cloud data platforms (Azure Data Lake, AWS Redshift, GCP BigQuery), APIs, and data integration technologies (Spark, Databricks, Kafka, etc.). * Knowledge of semantic modeling, industry ontologies, and standards (CDISC, HL7 FHIR, TransCelerate DDF) strongly preferred. * Regulatory Data Product Owner — delivering shared use cases in protocol metadata, submission readiness, and disclosure datasets. **Skills & Expertise** * Strong technical problem-solving with an engineering mindset for scalability and resilience. * Proficient in modern data engineering tools and methods (infrastructure as code, CI/CD pipelines, data automation). * Ability to collaborate with cross-functional business and technical teams. * Clear communication skills — able to convey technical design to non-technical audiences. **Impact** By delivering high-quality, integrated data products, you will ensure Global Development has a robust foundation for analytics, AI, and automation. Your work will directly accelerate development timelines, improve regulatory readiness, and enable data-driven innovation across multiple programs. **Required Skills:** **Preferred Skills:** Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking, Team Management