R&D, Manufacturing and Quality Solutions Execution Own the lifecycle, architecture, integration, reliability, adoption, support, enhancement, and retirement of ERP, MES, QMS, supply chain, product lifecycle, laboratory, engineering, and other R&D-supporting technologies Ensure seamless information flow and master-data integrity across product design, bills of material, recipes and routings, planning, procurement, production, quality, inventory, distribution, service, and financial processes Enable compliant digital design controls, requirements management, documentation, change control, training, deviations, CAPA, complaints, audits, supplier quality, and electronic records Advance Manufacturing 4.0 through connected equipment, electronic work instructions and records, automated material and data flows, robotics, machine vision, predictive maintenance, process monitoring, digital twins, and real-time performance management Partner with and build deploy ML, AI and automation solutions into the application stack to improve yield, throughput, reliability, inspection, forecasting, and root-cause analysis Drive the digital capabilities of TransMedics medical devices using secure IoT architecture, device connectivity, telemetry, remote monitoring, diagnostics, software and configuration management, and integration with enterprise and product platforms Ensure solutions and connected-device capabilities meet applicable quality, validation, cybersecurity, privacy, safety, regulatory, data-integrity, and electronic-record requirements MANAGEMENT RESPONSIBILITIES Build and maintain a high performing team responsible to execute the scope of responsibility Manage and maintain partner relationships across technology and service providers that support your function. Hold our partners accountable in getting the most value from our relationships Develop organizational capabilities, succession plans and targeted talent development strategies to maintain a high performing team PHYSICAL ATTRIBUTES None identified MINIMUM QUALIFICATIONS Bachelor''s degree in Information Technology, Computer Science, Engineering, Manufacturing, Supply Chain, Life Sciences, or a related field 15+ years of progressive experience delivering digital solutions across R&D, manufacturing, quality, supply chain, product lifecycle, or enterprise applications, including significant leadership responsibility 12+ years of experience building and leading cloud native engineering application teams 10+ years of experience building solutions that are used by both internal and external users at scale 10+ years of experience architecting and implementation digital applications that leverage ML and AI models.