Senior Manager, Clinical Engineering, Data Analytics

🕒 March 19

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Solventum

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

📚 Education

🧘 Wellness

Healthcare Insurance • Education • Wellness

Solventum is a healthcare-focused company renowned for its innovative solutions aimed at improving medical and oral care outcomes. The company offers a variety of medical technologies, including advanced wound care, surgical solutions, and sterilization products. Solventum also provides advanced oral care solutions, health information and technology services, and purification and filtration products for biopharmaceutical applications. Furthermore, Solventum places a strong emphasis on sustainability and education, providing resources and training for healthcare professionals globally. Their commitment to innovation and better healthcare has made them a leader in the healthcare industry, dedicated to enhancing patient safety and healthcare efficiencies.

📋 Description

• Define, build, and scale an integrated capability connecting clinical science, digital platforms, advanced analytics, automation, and AI-enabled decisioning • Accountable for translating clinical intent into measurable clinical, operational, and business outcomes • Leading and developing a multidisciplinary team of clinical engineers, data warehouse engineers, data scientists, and analytics professionals • Setting the strategic direction for data-driven clinical engineering including ownership of roadmaps • Building and deploying capabilities for data-driven clinical outcomes leveraging real-world data, modeling, simulation, advanced analytics, and AI/ML tools • Driving best-in-class treatment planning solutions leveraging clinical expertise and predictive modeling • Critically collaborating and aligning with Digital and Automation teams ensuring solutions are production-ready • Partnering closely with clinicians, customers, R&D, Digital, Regulatory, and portfolio teams • Measuring and communicating impact defining clinical, operational, and business KPIs

🎯 Requirements

• Bachelor’s degree or higher in engineering, data science, biomedical engineering, computer science, or a related scientific discipline • 8+ years of experience in clinical engineering, digital health, data analytics, or related technical domains • 5+ years of experience leading teams with deep technical expertise • Additional Qualifications: M.S. or Ph.D. in engineering, data science, biomedical sciences, or a related discipline • Experience with clinical treatment planning, digital dentistry, dental devices, or regulated healthcare environments • Strong understanding of analytics, modeling, simulation, and/or AI/ML methodologies • Proven track record of cross-functional leadership • Hands-on experience with data warehousing, cloud data platforms, or enterprise analytics ecosystems • Leadership experience partnering with AI/ML specialists, automation teams, and digital product organizations

🏖️ Benefits

• Medical, Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits