Manager, SAP Business Technology Platform AI Engineering

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Multi-Family Technology Product & Platform Management

Job Category:

People Leader

All Job Posting Locations:

Raritan, New Jersey, United States of America

Job Description:

Johnson & Johnson is seeking a Manager, SAP BTP Application Development & AI Engineering to lead application development, AI innovation, and engineering delivery leveraging SAP Business Technology Platform (BTP) across enterprise business solutions to be located in Raritan, NJ.

This role manages a team of SAP BTP developers, AI engineers, and technical specialists responsible for designing, developing, deploying, and supporting enterprise applications, AI-enabled solutions, reusable services, and digital products. The Manager is accountable for engineering execution, solution delivery, team leadership, operational excellence, and adoption of SAP Business AI capabilities.

The role partners closely with product owners, architects, business stakeholders, SAP engineering teams, and external partners to deliver scalable cloud-native applications, AI-enabled business capabilities, and measurable business outcomes.

Duties & Responsibilities

SAP BTP Application Development

• Lead teams responsible for developing, testing, deploying, and supporting enterprise applications built on SAP Business Technology Platform (BTP).
• Drive development of cloud-native applications using CAP, RAP, SAP Build, SAP Build Code, SAP HANA Cloud, Workflow, Business Rules, APIs, and BTP services.
• Establish development standards, reusable application frameworks, engineering best practices, and coding standards.
• Deliver secure, scalable, resilient, and maintainable solutions aligned with enterprise architecture standards.
• Partner with business and product teams to translate requirements into technical solutions and business capabilities.
• Drive modernization and simplification of enterprise applications through reusable services, automation, and cloud-native architectures.

Application Engineering & Delivery Leadership

• Manage application development initiatives through planning, development, testing, deployment, and support.
• Lead agile teams and ensure successful delivery against scope, schedule, quality, and budget commitments.
• Manage risks, dependencies, technical debt, and delivery roadmaps.
• Promote engineering excellence through automation, quality assurance, DevSecOps, and continuous improvement practices.
• Establish measurable delivery metrics, KPIs, and operational performance indicators.

SAP Business AI & AI Engineering

• Lead implementation and adoption of SAP Business AI, Joule, Joule for Developers, and AI-enabled business capabilities.
• Develop and deploy Generative AI solutions supporting enterprise business processes and developer productivity.
• Collaborate with architects and engineering teams to operationalize AI capabilities within applications and business workflows.
• Support implementation of intelligent automation, conversational AI, and AI-assisted engineering capabilities.
• Track and communicate adoption metrics, productivity improvements, and business value realization.

ERP AI Software Development Lifecycle (AI SDLC)

• Drive adoption of AI-assisted software engineering capabilities across development teams.
• Support AI-enabled requirements engineering, application development, testing, documentation, release management, and production support.
• Promote reusable engineering accelerators and AI-powered development experiences.
• Measure im…