Senior Director, Global AI Data Platforms & Analytics

Aimlroles; Raritan (NJ); On-site; USD 196,000 - 343,000; Full time

Job summary

Johnson & Johnson is seeking a Senior Director, Global Commercial Data Platforms & AI Engineering in Raritan, NJ to define and lead the global data platform strategy and AI engineering for Innovative Medicine. You will shape data products, governance, and platform services while coordinating across business, technology, and regulatory functions.

The role focuses on scalable, secure, and AI-ready data ecosystems, empowering commercial decision-making and frontline execution.

Qualifications

• Deep expertise in enterprise data architecture, cloud platforms, data engineering, and analytics ecosystems.
• Experience designing and deploying AI/ML solutions at enterprise scale.
• Proven leadership in building and scaling data/ML/AI engineering teams.
• Ability to translate business strategy into tech capabilities and platform roadmaps.
• Strong understanding of data governance, privacy, and responsible AI practices.

Responsibilities

• Define and execute the long-term strategy for global commercial data platforms and AI infrastructure.
• Scale AI engineering capabilities for generative AI, agentic AI, and ML products.
• Lead platform delivery including data integration, cloud infra, MLOps, and secure operations.
• Partner with business and technology leaders to drive measurable impact and competitive advantage.
• Build and coach a high-performing team of data/AI engineers and architects.

Skills

Data architecture

Cloud platforms

AI engineering

Leadership

Data governance

Education

Advanced degree in CS/DS/Engineering

Tools

Snowflake

Databricks

Azure

AWS

Job description

Johnson & Johnson is seeking a Senior Director, Global Commercial Data Platforms & AI Engineering in Raritan, NJ to define and lead the global data platform strategy and AI engineering for Innovative Medicine. You will shape data products, governance, and platform services while coordinating across business, technology, and regulatory functions.

The role focuses on scalable, secure, and AI-ready data ecosystems, empowering commercial decision-making and frontline execution.