Solution Architect - Service Manufacturing

Job description

Job responsibilities

• Work as a trusted IT partner for business teams and senior leaders with regards to system solutions for Service Manufacturing processes that include Failure Analysis, Maintenance, Repairs, Upgrades, Disassembly and…
• Lead multi-year roadmaps for Service Manufacturing and Operations process innovation and technology integration.
• Advise senior leaders on process strategy, risk, and investments.
• Direct process maturity assessments and center of excellence development.
• Present process results/findings at executive meetings and industry events.
• Analyze business processes, perform fit-gap analysis as required, and provide ISI business teams with cost efficient proposals on inefficiencies and risks to determine appropriate process and system design.
• Perform hands-on configuration in SAP S4 HANA to satisfy business requirements.
• Serve as the primary contact for Production Planning , Shop Floor Execution, and Plant Maintenance functionality within Service area of SAP S/4HANA.

Job requirements

• Minimum 12 years advanced experience with large-scale process analysis and enterprise projects and a bachelor's degree in relevant discipline, or equivalent combination of education and experience
• In-depth knowledge of business processes in Manufacturing Execution, Inventory Control, Product Quality, and Engineering-to-Execution.
• Experience designing, delivering, and supporting SAP PP and PM applications in S/4HANA environments within a batch / Serial Number managed environment in Medical Device or Life science industry
• In-depth knowledge of Master Data: Resources, BOMs, Routings, Production Versions, Equipment, Equipment BOMs, etc.
• Strong analytical and problem-solving skills with the ability to translate business needs into functional solutions.
• Excellent collaboration and communication skills, with experience working across cross-functional teams, vendors, and business partners.
• Strategic process design, analysis, and modeling expertise.
• Advanced knowledge of process technologies and continuous improvement.