Senior Manager, Data Products Engineer – Global Development

hace 1 semana


madrid, España Johnson & Johnson A tiempo completo

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 quality, metadata and regulatory compliance. Cross‑Functional Collaboration: Work alongside Senior Manager Data Strategy, Knowledge Management and Regulatory Data Product Owner teams. Qualifications Education Bachelors or Masters in Computer Science, Data Engineering, Data Science, Biomedical Informatics or related discipline. Experience 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. 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 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 and 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 Employment Type: Full‑Time Vacancy: 1 #J-18808-Ljbffr



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