Senior Manager, Clinical Engineering & Data Analytics- Dental Solutions

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Clinical Engineering & Data Analytics- Dental Solutions based in United States. This is a senior leadership opportunity to build and scale a newly formed, multidisciplinary organization spanning clinical engineering, data warehousing, data science, and analytics. You will shape the strategy for data-driven clinical engineering, advanced treatment planning, AI/ML capabilities, and modern data infrastructure. The role connects clinical science, digital platforms, advanced analytics, automation, and AI-enabled decision-making to measurable outcomes. You will lead teams that translate clinical needs into scalable algorithms, decision-support tools, and production-ready digital capabilities. Working across R&D, Digital, Regulatory, clinicians, customers, and portfolio teams, you will align priorities and drive end-to-end execution. The position offers the opportunity to influence clinical efficacy, treatment quality, operational performance, and next-generation digital solutions. This is a remote role with a strategic and hands-on leadership scope in a complex, regulated healthcare environment 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