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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, SAP Business AI & Data - **Company:** Johnson & Johnson - **Location:** Hopewell Township, NJ, United States - **Experience:** Expert - **Salary:** $140,000 - $241,500 - **Contract:** Permanent contract - **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, Cyber Security, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Systems, DevOps, Data Intelligence, Machine Learning, Software Product Management, Systems Development Life Cycle, AI-enabled Products, SAP (Applications), SAP BI Accelerator, SAP Business Suiteing, SAP Implementation, Software Engineering, User-Centered Design, Cloud Platform System, Multi-Agent Systems, Generative AI, SAP Business Technology Platform, Agentic-AI, Information Technology, Data Management, Devsecops - **Published:** November 13, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3517373254&tx=YT808CYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Technology , or a related field. Equivalent relevant experience may be considered. * 12+ years of progressive experience across technology, software engineering, SAP, data platforms, digital products, or related technology disciplines. * 10+ years of technology leadership experience leading complex, cross-functional teams and enterprise technology initiatives. * Experience with SAP Business AI, SAP Joule, Joule Agents, SAP Business Data Cloud, SAP Datasphere, SAP BTP , or comparable enterprise AI and data technologies. * Demonstrated experience delivering enterprise-scale applications, technology platforms, data solutions, or AI-enabled products in complex or regulated environments. * Strong experience with enterprise SAP ecosystems and modern data, integration, and cloud architectures. * Demonstrated ability to translate business strategies and requirements into scalable technology architectures and product roadmaps. * Strong understanding of software engineering, SDLC, DevOps, testing, quality engineering, integration, data management, and production operations. * Experience managing technology portfolios involving multiple teams, products, platforms, dependencies, and strategic partners. * Demonstrated experience influencing senior business and technology stakeholders in a global, matrixed organization. Preferred Qualifications * Understanding of generative AI, agentic AI, machine learning, knowledge grounding, AI orchestration, and enterprise data architectures . * Experience designing or implementing AI-enabled business processes within SAP landscapes. * Experience integrating SAP data and AI capabilities with broader enterprise cloud, data, AI, or analytics ecosystems. * Knowledge of responsible AI practices, AI governance, data governance, privacy, cybersecurity, and regulatory considerations. * Experience delivering AI and technology solutions within Supply Chain, ERP transformation, or large-scale SAP transformation programs . * Experience defining AI adoption and business-value measurement frameworks . * Demonstrated ability to lead technology innovation while maintaining enterprise architecture, engineering, security, quality, and compliance standards., SAP BTP Data Intelligence, SAP Business Data Cloud (BDC), SAP Business Intelligence (SAP BI), SAP Datasphere, SAP Joule Agents Preferred Skills: Agentic AI, Generative AI, Machine Learning (ML) ## Description We are seeking the best talent for a Senior Manager, SAP Business AI & Data to be located in Titusville or Raritan, NJ. The Senior Manager, SAP Business AI & Data will provide technology leadership for the design, deployment, and operation of enterprise AI products and integrated data platforms supporting the IM Supply Chain Transcend program. This role will lead the convergence of SAP Business AI and enterprise data , establishing AI-ready data foundations through SAP Business Data Cloud (BDC) and enabling intelligent business capabilities through SAP Joule, Joule Agents, and SAP Business AI . The Senior Manager will ensure these capabilities integrate effectively with the broader IMSC Data and AI ecosystem, including SAVIA and Aspire.ai. The role is accountable for translating strategic business needs into secure, scalable, and governed AI and data solutions while driving software engineering excellence, responsible AI, platform governance, adoption, and measurable business value. The Senior Manager will work across business, technology, architecture, data, security, and delivery teams to establish a scalable SAP Business AI and Data platform capability that supports both current Transcend priorities and future intelligent enterprise use cases., SAP Business AI & Data Leadership * Lead the strategy, architecture, engineering, and operationalization of SAP Business AI and data capabilities across the Transcend landscape. * Lead implementation and evolution of SAP Business Data Cloud (BDC) as an AI-ready data foundation supporting analytics, AI, agents, and intelligent business processes. * Drive adoption and engineering of SAP Joule, Joule Agents, and SAP Business AI capabilities aligned to prioritized business use cases. * Establish scalable patterns for integrating SAP Business AI and BDC with broader IMSC AI and data platforms, including Aspire.ai. * Align AI capabilities with trusted, contextualized, and governed enterprise data to support reliable and auditable business outcomes. * Partner with Enterprise Architecture and AI leadership to define build, buy, and blend decisions for AI capabilities. * Evaluate emerging SAP AI and data capabilities and determine where they can deliver meaningful business value. Technical Product Ownership * Lead end-to-end design, testing, deployment, and lifecycle management of enterprise AI products, data platforms, applications, and integrations. * Translate complex business requirements into scalable product, platform, data, and solution architectures. * Define solution structures, interfaces, dependencies, integration patterns, and non-functional requirements across complex SAP and enterprise technology landscapes. * Drive engineering excellence across configuration, software development, APIs, data engineering, automation, AI capabilities, and platform services. * Establish reusable architecture and engineering patterns to accelerate delivery across multiple AI and data use cases. * Promote disciplined SDLC, DevSecOps, automated testing, observability, and change management practices. AI Product Delivery & Value Realization * Build and manage a portfolio of AI and data capabilities aligned to Transcend and Supply Chain priorities. * Establish a structured lifecycle from use-case discovery and validation through engineering, deployment, adoption, measurement, and continuous enhancement . * Prioritize AI opportunities based on business impact, data readiness, technical feasibility, risk, scalability, and reuse potential. * Partner with business teams to define measurable outcomes and establish mechanisms to track productivity, quality, user experience, and business value. * Drive AI literacy, adoption, and change management to enable sustainable use of AI capabilities across Transcend. Responsible AI, Governance, Risk & Compliance * Establish and enforce appropriate AI, data, and technology governance across the product and platform portfolio. * Ensure solutions align with enterprise standards for privacy, security, explainability, fairness, data quality, and responsible AI . * Partner with Privacy, Information Security, Legal, Compliance, Quality, and Architecture organizations throughout the AI product lifecycle. * Ensure alignment with applicable regulatory and organizational requirements, including GDPR, CCPA, and the EU AI Act where relevant. * Establish appropriate controls for AI-enabled capabilities, including monitoring, traceability, human oversight, and lifecycle governance. * Identify, manage, and communicate technology, AI, data, delivery, and platform risks. People & Cross-Functional Leadership * Lead and develop high-performing, multidisciplinary teams spanning AI, data, software engineering, SAP technology, product management, and platform engineering. * Provide technical leadership and mentorship while building organizational capabilities in SAP Business AI and modern data technologies. * Develop strong partnerships across Transcend, Technology Services, Enterprise Architecture, Information Security, Data & AI, and business organizations. * Manage delivery across internal teams, strategic partners, software vendors, and system integrators. * Build a culture of innovation, accountability, inclusion, engineering excellence, experimentation, and continuous learning., * Strategic Thinking * AI & Data Product Strategy * SAP Business AI * SAP Business Data Cloud * Product & Platform Management * Product Development Lifecycle * Software Engineering * Enterprise Architecture * Data Architecture & Governance * Responsible AI * Quality Assurance * Operations Management * Performance & Value Measurement * Cross-Functional Collaboration * Developing Others * Inclusive Leadership * Team Management * Entrepreneurship * Technical Credibility * Change Management