Senior Manager, Clinical Engineering & Data Analytics

Solventum is a new healthcare company dedicated to improving lives through innovative solutions. The Senior Manager, Clinical Engineering & Data Analytics will lead a multidisciplinary team to deliver data-driven clinical engineering outcomes and AI-enabled insights, enhancing treatment planning capabilities across the Dental Solutions business.

Responsibilities:

• 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 create translating clinical treatment goals that can be translated 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, seamlessly 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

Requirements:

• 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, and execution in matrixed organizations
• Hands‑on experience with data warehousing, cloud data platforms, or enterprise analytics ecosystems
• Experience leading teams that apply AI and machine learning to clinical, scientific, or digital workflow problems with a focus on real‑world deployment and measurable impact
• Demonstrated ability to translate AI/ML potential into prioritized clinical and business outcomes, avoiding exploratory or research‑only approaches
• Leadership experience partnering with AI/ML specialists, automation teams, and digital product organizations to operationalize models into scalable, governed solutions
• Demonstrated experience providing researchers and operations teams with self-service BI, real-time dashboards, and high-fidelity datasets
• Strong business acumen with the ability to connect technical investments to portfolio strategy and customer value
• Excellent communication skills with the ability to influence at senior leadership levels
• Decisive, comfortable with ambiguity, and skilled at balancing speed with rigor
• Agile, growth‑oriented leadership mindset