Senior SAP AI & Data Platform Leader

Biopharma Asia

New Jersey

On-site

USD 140,000 - 242,000

Full time

3 days ago
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Job summary

Johnson & Johnson is seeking a Senior Manager, SAP Business AI & Data, located in Titusville or Raritan, NJ. This role will lead the design, deployment, and operation of enterprise AI products and data platforms supporting the IM Supply Chain Transcend program.

The Senior Manager will converge SAP Business AI with enterprise data foundations, enabling intelligent capabilities through SAP BDC, Joule, and related tools, while aligning with governance and responsible AI practices across the

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Information Technology (or equivalent).
  • 12+ years of technology leadership across cross-functional teams and enterprise initiatives.
  • Experience with SAP Business AI, SAP Joule, Joule Agents, SAP Business Data Cloud, SAP Datasphere, SAP BTP.

Responsibilities

  • Lead strategy, architecture, engineering, and operationalization of SAP Business AI and data capabilities across the Transcend landscape.
  • Drive adoption and engineering of SAP Joule, Joule Agents, and SAP Business AI capabilities.
  • Establish scalable patterns for integrating SAP AI and BDC with broader enterprise platforms.

Skills

SAP Business AI
Data platforms
Leadership
Product management
SDLC

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, IT

Tools

SAP Business Data Cloud
SAP Datasphere
SAP Joule
SAP BTP

Job description

Johnson & Johnson is seeking a Senior Manager, SAP Business AI & Data, located in Titusville or Raritan, NJ. This role will lead the design, deployment, and operation of enterprise AI products and data platforms supporting the IM Supply Chain Transcend program.

The Senior Manager will converge SAP Business AI with enterprise data foundations, enabling intelligent capabilities through SAP BDC, Joule, and related tools, while aligning with governance and responsible AI practices across the

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