Senior Manager, SAP Business Technology Platform AI Engineering

Senior Manager, SAP Business Technology Platform (BTP) AI Engineering

Johnson & Johnson is seeking a Senior Manager, SAP Business Technology Platform (BTP) AI Engineering to lead AI innovation, engineering, and delivery across SAP S/4

HANA transformation programs supporting Med Tech, Innovative Medicine, and Enterprise Finance, based in Raritan, NJ. This role will lead the SAP BTP AI Engineering capability and be responsible for advancing the ERP AI Software Development Lifecycle (AI SDLC)—developing and scaling critical Generative AI and agentic AI capabilities that accelerate engineering productivity, S/4 transformation outcomes, and Technology Services (TS) value realization goals.

Key Responsibilities SAP BTP AI Engineering & S/4 Transformation

• Lead SAP BTP AI Engineering supporting S/4
  
  HANA transformation initiatives across Med Tech, Innovative Medicine, and Enterprise Finance.
• Drive architecture, development, engineering standards, reusable services, and delivery frameworks for enterprise AI solutions built on SAP BTP.
• Partner with S/4 transformation teams to identify, prioritize, develop, and scale high-value AI use cases.
• Ensure AI capabilities progress rapidly from experimentation and proof-of-concept to secure, scalable, production-grade enterprise solutions.
• Establish reusable AI engineering patterns that can be leveraged across S/4 programs, products, and business processes.

ERP AI SDLC Innovation

• Own and advance the ERP AI SDLC innovation roadmap, transforming how SAP applications are designed, developed, tested, secured, deployed, and maintained.
• Identify and develop critical Generative AI capabilities across the ERP software engineering lifecycle.
• Drive AI-assisted development capabilities for requirements engineering, architecture, code generation, code modernization, testing, documentation, security analysis, deployment, and application support.
• Establish an integrated AI engineering experience across SAP development technologies including ABAP, RAP, CAP, Fiori/UI5, BTP, APIs, integrations, and S/4 extensions.
• Explore and operationalize agentic engineering approaches where specialized AI agents can assist engineering teams throughout the software development lifecycle.
• Define measurable engineering productivity and quality metrics to demonstrate AI SDLC value realization.

Joule & Developer Productivity

• Drive adoption and advancement of SAP Joule, Joule for Developers, Joule Agents, SAP Business AI, and related AI productivity capabilities.
• Evaluate emerging Joule capabilities and establish enterprise adoption patterns across SAP engineering teams.
• Identify opportunities to improve developer productivity, engineering quality, speed-to-market, and automation using Joule and complementary AI engineering technologies.
• Partner with SAP and internal engineering teams to influence and accelerate capabilities required for enterprise-scale SAP AI development.
• Establish measurement frameworks for productivity improvements and realized business value.

Generative & Agentic AI Capabilities

• Lead development of critical Generative AI and agentic AI engineering capabilities required by the ERP transformation.
• Establish reusable enterprise patterns for LLM integration, RAG, enterprise knowledge, agent orchestration, tool calling, prompt management, evaluation, guardrails, and observability.
• Develop secure approaches for AI agents to interact with SAP business processes, APIs, enterprise data, and other applications.
• Advance multi-agent and human-in-the-loop architectures where appropriate for complex enterprise workflows.

TS Value Realization

• Align the SAP BTP AI Engineering and ERP AI SDLC roadmap with Technology Services value realization objectives.
• Translate AI investments into measurable outcomes including engineering productivity, development-cycle reduction, improved quality, faster S/4 delivery, reduced technical debt, increased automation, and lower operating costs.
• Establish KPIs and measurement frameworks to quantify the value delivered through AI engineering initiatives.
• Identify opportunities where GenAI can materially accelerate major transformation programs and improve overall technology delivery effectiveness.
• Partner with technology and business leadership to prioritize AI investments based on measurable enterprise value.

External Innovation & Strategic Partnerships

• Establish and manage strategic engineering relationships with SAP and external AI technology vendors and partners.
• Continuously evaluate emerging AI technologies, development platforms, models, frameworks, and engineering tools relevant to SAP and ERP transformation.
• Lead joint innovation, pilots, proof-of-concepts, and co-development initiatives with strategic technology partners.
• Evaluate build-versus-buy-versus-partner decisions for new AI engineering capabilities.
• Work with vendors to influence product roadmaps based on enterprise SAP engineering requirements.
• Convert successful external innovation into governed, reusable enterprise capabilities rather than…