AI & Data Platform Leader - Enterprise Health Tech

Johnson & Johnson Co.; Titusville (NJ); On-site; USD 94,000 - 152,000; Full time

Benefits offered by this job

Vacation time

Sick time

Parental Leave

Job summary

Johnson & Johnson seeks an IMT SC Lead for the Large Program AI and Data Platform, based in Titusville, NJ. You will oversee design, development, testing, deployment and management of enterprise AI products and data platforms across the IMSC ecosystem, driving measurable outcomes with governance and innovation.

Lead multi-family teams, align AI capabilities with data maturity, and define platform strategy in partnership with enterprise architecture and business AI leadership.

Qualifications

• 8+ years IT experience with 3+ years in SAP, AI, Data & Analytics
• Hands-on experience with SAP BDC, SAP BTP and Integration Suite
• Practical experience delivering AI solutions using SAP Joule and/or Microsoft Copilot
• Excellent communication and stakeholder engagement skills

Responsibilities

• Design, develop, test, and manage technology products and platforms, including AI/data platforms and enterprise applications
• Lead requirements analysis and translate needs into scalable architectures
• Define and govern solution structures, interfaces, and non-functional requirements
• Oversee SDLC, DevOps practices, and change management for iterative delivery
• Ensure deployment, maintenance, and evolution of applications and platforms

Skills

SAP Joule

AI & Data Platforms

Communication

DevOps

Regulatory compliance

Education

Bachelor’s or Master’s in IT/AI/Data Science

Tools

SAP BDC

SAP BTP

Integration Suite

Microsoft Copilot

Job description

Johnson & Johnson seeks an IMT SC Lead for the Large Program AI and Data Platform, based in Titusville, NJ. You will oversee design, development, testing, deployment and management of enterprise AI products and data platforms across the IMSC ecosystem, driving measurable outcomes with governance and innovation.

Lead multi-family teams, align AI capabilities with data maturity, and define platform strategy in partnership with enterprise architecture and business AI leadership.