Robert Bond

About Robert Bond

I help organizations design and deploy AI and analytics systems that improve real operational outcomes. Over the past 20+ years I’ve worked at the intersection of data platforms, enterprise operations, and emerging AI capabilities, helping organizations transform large volumes of operational data into systems that support better decisions and more efficient processes. My work spans healthcare, analytics software, consulting, and medical technology organizations, where I have led initiatives such as: • Building analytics platforms that link operational data to product reliability and customer experience • Designing operational intelligence systems that surface root causes of service failures and equipment performance issues • Developing geospatial and operational analytics to optimize field service and workforce utilization • Partnering with engineering and product teams to translate complex operational challenges into analytics and AI solutions • Exploring applied AI use cases such as AI copilots for technical support and service operations Throughout my career I’ve focused on a simple principle: AI and analytics create value when they improve real operational systems. This means going beyond dashboards to build systems that help organizations: • identify problems earlier • understand root causes • improve reliability and service performance • make better operational decisions My background includes experience across software engineering, product management, analytics platform architecture, and enterprise consulting, which allows me to bridge technical systems with business operations. Today I’m particularly interested in roles focused on: • Enterprise AI strategy • Operational AI deployment • Analytics and data platform leadership • AI applications that improve customer service, operations, and product reliability If you\'re working on applying AI to real-world operational systems, I’d enjoy connecting.

Experience

1. Senior Manager of Equipment Analytics

   Dentsply Sirona

   Oct 2022 — Present · Charlotte, NC, US

   Led analytics initiatives focused on improving customer experience, product reliability, and service operations for a global dental technology manufacturer. Designed analytics systems and operational data models that helped service leadership, engineering, and product teams better understand equipment performance and customer service outcomes across the installed device base.Built data pipelines and analytics frameworks that transformed service data into operational intelligence, enabling teams to identify reliability patterns, improve service delivery, and support data-driven decision making.Key contributions included:• Equipment Failure Intelligence Platform – Built analytics linking service tickets, device platforms, and component replacements to identify recurring reliability patterns and help engineering teams investigate root causes of service incidents.• Customer Service Experience Analytics – Developed a model that grouped individual service tickets into “service episodes,” enabling the organization to analyze repeat incidents, service duration, and operational resource utilization.• Product Reliability Insights – Created reporting highlighting recurring component replacements and service patterns across device platforms, helping teams identify where customers were experiencing repeated service events.• Field Service Network Analytics – Developed geospatial analysis of installed equipment and service demand to support decisions around technician coverage, workload balancing, and service responsiveness.• Device Upgrade Opportunity Framework – Designed an analytics concept combining ideal customer profiles with buying-window indicators to identify customers most likely to upgrade equipment.• AI Support Exploration – Partnered with an AI engineering team to evaluate a call-center copilot capable of retrieving relevant service knowledge from historical service records to support technicians during troubleshooting.

Education

• Duke University

  MBA, Healthcare Systems Management; Financial Analysis

• University of Pennsylvania

  BSE, Chemical Engineering

• The Johns Hopkins University

  Master of Engineering - MEng, Chemical Engineering