Senior Manager, Clinical Engineering & Data Analytics

Overview

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges.

As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description:

Solventum is rebranding from 3M Health Care. Solventum enables better, smarter, safer healthcare to improve lives and pioneers game-changing innovations at the intersection of health, material and data science. We partner closely with the brightest minds in healthcare to merge technology with compassion and empathy, solving for you.

Senior Manager, Clinical Engineering & Data Analytics

This role provides an opportunity to build and lead a newly formed, cross‑disciplinary organization spanning Clinical Engineering, Data Warehousing, and Data Analytics, with a mandate to deliver data‑driven clinical engineering outcomes, AI‑enabled insights, and best‑in‑class treatment planning capabilities across Solventum's Dental Solutions business.

The Impact You'll Make in This Role

• Leading and developing a multidisciplinary team of clinical engineers, data warehouse engineers, data scientists, and analytics professionals, establishing a shared vision, operating model, and culture across disciplines
• Setting the strategic direction for data‑driven clinical engineering, including ownership of roadmaps for treatment planning, analytics platforms, AI/ML capabilities, and data infrastructure in alignment with R&D and Business leadership
• Leading the team and strategy for building, evolving and maintaining scalable, cloud-native architectures that bring together multiple data sources into a unified platform, providing modular, scalable services and advanced analytics for operational insights and clinical research
• Building and deploying capabilities for data‑driven clinical outcomes, leveraging real‑world data, modeling, simulation, advanced analytics, and AI/ML tools to improve treatment quality, predict outcomes, and reduce clinical variability
• Driving best‑in‑class treatment planning solutions, leveraging clinical expertise, advanced data analytics and predictive modeling to translate clinical treatment goals into scalable algorithms, AI‑assisted workflows, and decision‑support tools embedded within digital platforms
• Leveraging AI and machine learning to amplify the impact of the organization, delivering predictive and prescriptive insights that inform broader portfolio strategy, including product differentiation, workflow automation, and next‑generation digital capabilities
• Critically collaborating and aligning with Digital and Automation teams to ensure clinical algorithms, analytics, and AI‑enabled insights are translated into scalable, automated, and production‑ready solutions, integrated into end‑to‑end digital workflows
• Partnering closely with clinicians, customers, R&D, Digital, Regulatory, and portfolio teams to align priorities, integrate feedback, and ensure end‑to‑end deployment of solutions
• Measuring and communicating impact, defining clinical, operational, and business KPIs and clearly articulating value creation to senior leadership and key stakeholders
• Embedding a culture of innovation and accountability, encouraging evidence‑based decision‑making, appropriate risk‑taking, and continuous learning across the organization

Your Skills and Expertise

To set you up for success in this role from day one, Solventum requires (at a minimum):

• Bachelor's degree or higher (completed and verified prior to start) 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…