Digital Manufacturing IT Lead Analyst - Mendix & AI

Job description

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: Technology Operations Support Job Category: Scientific/Technology All Job Posting Locations: Suzhou, Jiangsu, China Job Description: Job Description DePuy Synthes is recruiting for a Digital Manufacturing IT Lead Analyst - Mendix & AI, located in Raynham, MA or West Chester, PA or Palm Beach Gardens, FL or Warsaw, IN. Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): Suzhou Industrial Park, China - Requisition Number: R-106266 Loughbeg, Ringaskiddy - Requisition Number: R-106264 The Digital Manufacturing IT Lead Analyst serves as the technology and business partner responsible for driving digital transformation initiatives across the DePuy Synthes manufacturing network through the adoption of Mendix low-code solutions, Artificial Intelligence (AI), and advanced digital manufacturing capabilities. This role translates manufacturing business needs into scalable digital solutions that improve operational performance, compliance, quality, productivity, and user experience. The Lead Analyst partners closely with Manufacturing Operations, Engineering, Quality, Supply Chain, Data & Analytics, Architecture, Cybersecurity, and external partners to identify opportunities, define requirements, manage roadmaps, and deliver innovative digital products. The individual acts as a trusted advisor and technology lead for the Digital Manufacturing portfolio, helping shape the future state manufacturing ecosystem through intelligent automation, AI-powered solutions, and low-code application development aligned to J&J technology standards. Key Responsibilities Digital Manufacturing Product Mgmt Partner with manufacturing, quality, and supply chain stakeholders to identify opportunities for digital transformation. Drive adoption of Digital Manufacturing capabilities across Make operations. Evaluate emerging technologies including AI, Generative AI, Machine Learning, Computer Vision, Digital Assistants, Intelligent Automation, and Industrial IoT. Develop business cases and value realization frameworks for digital investments. Contribute to Digital Manufacturing and Smart Factory roadmaps. Mendix Product Ownership & Delivery Serve as Business Technology Lead and Product Analyst for Mendix-based manufacturing applications. Elicit, document, refine, and prioritize business requirements using Agile methodologies. Translate business processes into user stories, process flows, MVPs, and technical requirements. Manage feature backlogs and partner with development teams to deliver business value. Ensure solutions align with enterprise architecture, security, data governance, and compliance requirements. Oversee application lifecycle activities including enhancement, support, and retirement planning. AI Enablement & Advanced Analytics Identify and prioritize AI use cases supporting manufacturing operations, engineering, quality, maintenance, and supply chain functions. Partner with Data Science and Engineering teams to design and deploy AI-enabled solutions. Lead requirements definition for AI-powered use cases including: Manufacturing copilots Predictive maintenance Process optimization Intelligent document processing Knowledge management Root cause analysis Shop floor digital assistants Ensure responsible and compliant use of AI technologies within regulated manufacturing environments. Business Analysis & Process Improvement Facilitate workshops and stakeholder engagement sessions. Document current-state and future-state business processes. Develop business requirements, functional specifications, process maps, and acceptance criteria. Drive traceability from business need through implementation. Support user acceptance testing and deployment readiness activities. Measure and track business outcomes using operational KPIs. Cross-Functional Collaboration Partner with:Site IT Leaders Manufacturing Operations & Quality Engineering Functions Data & Analytics Teams Solution Architects Cybersecurity Teams External Vendors and System Integrators Provide thought leadership and consultation regarding digital manufacturing technologies. Governance, Compliance & Risk Management Ensure adherence to SDLC, CSV, GxP, cybersecurity, privacy, and quality requirements. Support audit readiness and validation activities. Participate in architecture reviews and technology governance processes. Maintain documentation in accordance with J&J standards. Key Deliverables Digital Manufacturing business requirements Mendix application roadmap and backlog AI use case portfolio and prioritization framework Product feature specifications and user stories Process maps and future-state workflows Technology value realization metrics UAT and deployment readiness documentation Manufacturing digital transformation recommendations Dashboard and KPI reporting Stakeholder communications and executive updates Required Qualifications Education Bachelor's Degree in Information Technology, Computer Science, Engineering, Supply Chain, Manufacturing, Data Analytics, or related discipline. Experience 6+ years of experience in Information Technology, Manufacturing Systems, Digital Manufacturing, Supply Chain Systems, or related fields. Experience supporting manufacturing operations within regulated environments. Experience delivering technology solutions using Agile methodologies. Demonstrated experience gathering and translating business requirements into technical solutions. Preferred Qualifications Experience with Mendix low-code platform. Experience supporting MES, ERP, or Manufacturing systems. Experience with Artificial Intelligence and GenAI use cases. Experience within Medical Devices, Pharmaceuticals, Life Sciences, or regulated manufacturing industries. Understanding of Digital Manufacturing, Industry 4.0, Smart Factory, and Connected Worker strategies. Knowledge of Siemens Opcenter MES, Azure, or Microsoft Power Platform. Experience working with data products, analytics, or AI model deployment. Other Up to 10-20% domestic and international travel may be required. Technical Competencies Competency Expected Proficiency Knowledge of Manufacturing Business Processes Advanced Business Analysis Expert Mendix Development & Platform Management Advanced AI & GenAI Solution Identification Advanced Product Management Intermediate-Advanced Agile Delivery Advanced Business & Data Analytics Advanced Digital Manufacturing Advanced Architecture & Integration Concepts Intermediate-Advanced Cybersecurity & Compliance Controls Intermediate-Advanced Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee rep