Senior Manager, SAP Business Technology Platform AI Engineering

Johnson & Johnson

Confirmed live yesterday High trust
Closes in 6 days Hybrid

Quick summary

Work type
Hybrid
Location
Raritan, NJ
Salary
$137,000–$236,325 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday
Closes
Sep 17, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $187k
$122k most similar roles pay here $277k

This role pays less than 68% of similar roles. Most pay $168,487–$246,150 — the shaded band above. At the midpoint, this role pays about $187k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 46 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 42 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Senior Manager, SAP Business Technology Platform AI Engineering

Senior Manager, SAP Business Technology Platform AI Engineering leads innovation, engineering, and delivery across SAP S/4HANA transformation programs for MedTech, Innovative Medicine, and Enterprise Finance. This role manages the SAP BTP AI Engineering capability to advance the ERP AI Software Development Lifecycle by developing and scaling Generative AI and agentic AI capabilities. The position focuses on building reusable engineering patterns, accelerating productivity, and establishing production-grade solutions for enterprise use cases. Key responsibilities include driving adoption of SAP Business AI, Joule, and Joule Agents while managing partnerships with technology providers to integrate emerging tools into the development lifecycle. Technical requirements include expertise in SAP BTP, S/4HANA, ABAP, RAP, CAP, Fiori/UI5, APIs, and integration architectures. The role addresses the challenge of modernizing software engineering through AI-assisted development, automated testing, and secure agent orchestration within complex enterprise environments.

What you'll do

  • Lead the development and scaling of Generative AI and agentic AI capabilities for SAP S/4HANA transformation programs.
  • Drive the architecture, engineering standards, and delivery frameworks for enterprise AI solutions built on SAP BTP.
  • Advance the ERP AI Software Development Lifecycle (SDLC) to automate requirements, coding, testing, and deployment.
  • Manage the adoption of SAP Joule and other AI productivity tools to improve developer speed and quality.
  • Establish reusable patterns for LLM integration, RAG, agent orchestration, and prompt management across enterprise systems.
  • Translate AI investments into measurable outcomes such as reduced technical debt and improved engineering productivity.
  • Manage strategic partnerships with SAP and external vendors to evaluate and integrate emerging AI technologies.
  • Ensure all AI applications and tools comply with corporate security, privacy, and responsible AI governance standards.

What we're looking for

  • Must have 12+ years of technology experience in SAP engineering, enterprise platforms, and large-scale transformation.
  • Must possess a Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field.
  • Requires strong experience with SAP BTP, SAP S/4HANA, and enterprise application development.
  • Requires knowledge of Generative AI, Agentic AI, SAP Business AI, Joule, and AI-assisted software engineering.
  • Must have a deep understanding of SAP development technologies including ABAP, RAP, CAP, Fiori/UI5, APIs, and integration.
  • Must have experience moving emerging technologies from experimentation and proof-of-concept to enterprise production adoption.
  • Requires proven leadership in managing large-scale SAP transformation programs and leading engineering teams.
  • Certifications in SAP BTP, SAP S/4HANA, or AI/ML are highly desirable.

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