Senior Manager, Clinical Engineering & Data Analytics- Dental Solutions

Solventum is a new healthcare company building on a legacy of solving complex challenges that improve lives and help healthcare professionals perform at their best.

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

As the Senior Manager, you will define, build, and scale an integrated capability that connects clinical science, digital platforms, advanced analytics, automation, and AI‑enabled decisioning. You will be accountable for translating clinical intent into measurable clinical, operational, and business outcomes.

• Lead and develop a multidisciplinary team of clinical engineers, data warehouse engineers, data scientists, and analytics professionals, establishing a shared vision, operating model, and culture.
• Set the strategic direction for data‑driven clinical engineering, owning roadmaps for treatment planning, analytics platforms, AI/ML capabilities, and data infrastructure in alignment with R&D and Business leadership.
• Lead the team and strategy for building, evolving, and maintaining scalable, cloud‑native architectures that unify multiple data sources into a single platform, providing modular services and advanced analytics for operational insights and clinical research.
• Build and deploy 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.
• Drive best‑in‑class treatment planning solutions, leveraging clinical expertise, advanced data analytics, and predictive modeling to create scalable algorithms, AI‑assisted workflows, and decision‑support tools embedded within digital platforms.
• Leverage AI and machine learning to amplify impact, delivering predictive and prescriptive insights that inform broader portfolio strategy, product differentiation, workflow automation, and next‑generation digital capabilities.
• Critically collaborate with Digital and Automation teams to ensure clinical algorithms, analytics, and AI‑enabled insights are translated into scalable, production‑ready solutions seamlessly integrated into end‑to‑end digital workflows.
• Partner closely with clinicians, customers, R&D, Digital, Regulatory, and portfolio teams to align priorities, integrate feedback, and ensure end‑to‑end deployment of solutions.
• Measure and communicate impact, defining clinical, operational, and business KPIs and clearly articulating value creation to senior leadership and key stakeholders.
• Embed a culture of innovation and accountability, encouraging evidence‑based decision‑making, appropriate risk‑taking, and continuous learning across the organization.

• 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 related technical domains in a private, public, government, or military environment.
• 5+ years of experience leading teams with deep technical expertise, including people leadership, organizational design, and talent development.

• 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.
• Demonstrated experience translating clinical or scientific problems into scalable, data‑driven or digital solutions.
• Strong understanding of analytics, modeling, simulation, and/or AI/ML methodologies applied to clinically informed or healthcare‑adjacent problems.
• Proven track record of cross‑functional leadership, including stakeholder alignment, prioritization,…