Senior Manager, Clinical Engineering & Data Analytics- Dental Solutions

Accountabilities:: 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. Define the strategic direction for data-driven clinical engineering and own roadmaps covering treatment planning, analytics platforms, AI/ML capabilities, and data infrastructure in alignment with R&D and business priorities. Lead the development, evolution, and maintenance of scalable, cloud-native architectures that integrate multiple data sources into unified platforms and provide modular services, advanced analytics, and high-quality datasets for clinical research and operational insights. Build and deploy capabilities for data-driven clinical outcomes using real-world data, modeling, simulation, advanced analytics, and AI/ML to improve treatment quality, predict outcomes, and reduce clinical variability. Drive advanced treatment planning solutions by translating clinical treatment goals into scalable algorithms, AI-assisted workflows, and decision-support capabilities embedded within digital platforms. Leverage AI and machine learning to deliver predictive and prescriptive insights that support portfolio strategy, product differentiation, workflow automation, and next-generation digital capabilities. Collaborate with Digital and Automation teams to translate clinical algorithms, analytics, and AI-enabled insights into scalable, automated, governed, and production-ready solutions integrated into end-to-end workflows. Partner with clinicians, customers, R&D, Digital, Regulatory, and portfolio teams to align priorities, incorporate feedback, and ensure effective deployment of solutions. Define clinical, operational, and business KPIs, measure outcomes, and communicate value creation and progress to senior leadership and key stakeholders. Foster a culture of innovation, accountability, evidence-based decision-making, appropriate risk-taking, and continuous learning across the organization. Requirements: Bachelor’s degree or higher in engineering, data science, biomedical engineering, computer science, or a related scientific discipline, completed and verified prior to the start of employment. 8+ years of experience in clinical engineering, digital health, data analytics, or related technical domains within private, public, government, or military environments. 5+ years of experience leading technically specialized teams, including people leadership, organizational design, and talent development. An M.S. or Ph.D. in engineering, data science, biomedical sciences, or a related discipline is an asset. Experience with clinical treatment planning, digital dentistry, dental devices, or regulated healthcare environments is an asset. Demonstrated ability to translate clinical or scientific problems into scalable, data-driven, or digital solutions. Strong understanding of analytics, modeling, simulation, and AI/ML methodologies applied to clinically informed or healthcare-related problems. Experience leading teams that apply AI and machine learning to clinical, scientific, or digital workflow challenges, with an emphasis on real-world deployment and measurable outcomes. Demonstrated ability to translate AI/ML capabilities into prioritized clinical and business outcomes rather than research-only initiatives. Hands-on experience with data warehousing, cloud data platforms, or enterprise analytics ecosystems, including self-service BI, real-time dashboards, and high-fidelity datasets. Experience partnering with AI/ML specialists, automation teams, and digital product organizations to operationalize models into scalable and governed solutions. Proven cross-functional leadership skills, including stakeholder alignment, prioritization, and execution within matrixed organizations. Strong business acumen and the ability to connect technical investments with portfolio strategy and customer value. Excellent communication and influencing skills, including the ability to engage effectively with senior leadership. Decisive and comfortable working with ambiguity, with the ability to balance speed, rigor, innovation, and risk. Agile, growth-oriented leadership mindset with a focus on collaboration, accountability, and continuous learning. Ability to travel domestically up to approximately 10%. Must be legally authorized to work in the United States without employment visa sponsorship. Benefits: Fully remote position in the United States. Expected compensation range of $187,600–$257,950, including base pay plus variable incentive pay, if eligible. Compensation may vary based on relevant knowledge, training, skills, work location, and experience. Potential eligibility for medical, dental, and vision coverage. Health Savings Accounts and Health Care & Dependent Care Flexible Spending Accounts. Disability benefits and life insurance. Voluntary benefits. Paid absences. Retirement benefits. Relocation assistance may be authorized. Inclusive and accessible workplace with reasonable accommodations available for qualified individuals. Opportunity to lead a newly formed multidisciplinary organization at the intersection of clinical engineering, data science, AI/ML, and digital healthcare.