Mgr, Forward Deployed Engineer, Data & Intelligence

Johnson & Johnson is seeking a Manager, Data Engineering & AI Platforms to lead the development and modernization of enterprise Clinical Data and AI capabilities. This role supports Clinical Development, Medical Affairs, Regulatory, and R&D functions by delivering scalable cloud-native data platforms and AI solutions that accelerate scientific insights and operational efficiency. The position involves people leadership, product delivery, architecture oversight, and strategic technology management.

Key Responsibilities:

• Lead engineering strategy for Clinical Data Platforms and modernize ecosystems using cloud-native architectures and Data Product principles.
• Design and implement enterprise-scale Clinical Data Lakehouse solutions using Databricks.
• Build and optimize ETL/ELT pipelines integrating diverse clinical and regulatory data sources.
• Lead the implementation of AI-powered solutions, including Predictive Analytics, Generative AI, Agentic AI, and RAG architectures.
• Establish AI governance frameworks and operationalize ML solutions using MLOps best practices.
• Lead Agile delivery teams and collaborate with cross-functional stakeholders including clinical scientists, biostatisticians, and product managers.
• Ensure compliance with GxP, CSV, HIPAA, GDPR, and J&J Data Privacy Standards.
• Build, develop, and retain high-performing engineering teams.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, IT, Data Science, or Bioinformatics (Master's preferred).
• 10+ years of experience in Data Engineering, Data Platforms, Analytics, or AI.
• 5+ years of people leadership experience managing global engineering teams.
• Proven experience implementing AI/ML and Generative AI in production environments.
• Experience in regulated industries such as Pharmaceutical, Biotechnology, or Healthcare.

Preferred Qualifications

• Experience supporting Clinical Development or Pharmaceutical R&D.
• Certifications in Databricks, Azure, or AWS.
• Knowledge of Product Operating Model and Data Mesh principles.