Senior Manager, Data Products Engineer – Global Development

Johnson & Johnson; Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading global healthcare company in Madrid is seeking a Senior Manager Data Products Engineer to design, build, and deploy data products that follow FAIR principles. This role requires a minimum of 6 years in data engineering in pharma/biotech, strong problem-solving skills, and collaboration with cross-functional teams. The ideal candidate holds a Bachelor's or Master's in a related field and will directly contribute to improving regulatory readiness and accelerating development timelines.

Formación

• 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.
• Strong technical problem-solving with an engineering mindset for scalability and resilience.

Responsabilidades

• Translate data product specifications into technical designs and architectures.
• Develop APIs, ETL/ELT pipelines to connect datasets.
• Ensure adherence to FAIR data principles and semantic modeling.
• Partner with Data Platform teams to operationalize products.
• Implement automated validation testing for data products.

Conocimientos

Advanced Analytics

Budget Management

Compliance Management

Critical Thinking

Data Analysis

Data Privacy Standards

Data Quality

Data Reporting

Data Science

Data Visualization

Strategic Thinking

Educación

Bachelors or Masters in Computer Science, Data Engineering, Data Science, Biomedical Informatics

Herramientas

CI/CD pipelines

Data automation

Descripción del empleo

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