About this role
About the Role The Senior Manager will 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. What You'll Do
- 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 across disciplines
- Set 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
- Build and evolve 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
- Build capabilities for data‑driven clinical outcomes using 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, translating clinical goals into 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 portfolio strategy, including product differentiation, workflow automation, and next‑generation digital capabilities
- Collaborate with Digital and Automation teams to ensure clinical algorithms, analytics, and AI‑enabled insights are translated into scalable, automated, production‑ready solutions integrated into end‑to‑end 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 articulating value 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 What We're Looking For
- Bachelor's degree or higher in engineering, data science, biomedical engineering, computer science, or related scientific discipline
- 8+ years of experience in clinical engineering, digital health, data analytics, or related technical domains in private, public, government, or military environments
- 5+ years of experience leading teams with deep technical expertise, including people leadership, organizational design, and talent development