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In this role, you'll develop data pipelines, architect scalable data solutions using Snowflake, ensure healthcare compliance, and manage master data management initiatives.

Analyze pricing, ASP, volume and profitability using Solventum pricing and financial systems. Build and maintain pricing models and dashboards, monitor competitor pricing, and deliver insights and pricing recommendations to leadership and finance to drive divisional value.

As a Product Engineer, you will develop new materials, design experiments, support cross-functional teams, and manage continuous improvement initiatives.

Sell dental/oral-care solutions to practices by negotiating and closing opportunities, managing territory and CRM, using analytics to prioritize accounts, proactively cold-calling, collaborating with internal teams, and maintaining driving eligibility for field work. Role includes up to 35% travel and adherence to motor vehicle and company policies.

As a Human Resources Representative, you will lead and coach employees, manage recruitment and orientation, and handle salary administration while applying analytical skills to support HR strategies.

The role involves supporting mainframe software operations, managing vendor relationships, developing applications, and performing system optimizations and testing.

As a Technical Architect, you'll lead solution evaluation, define architecture strategy, guide cloud modernization, and embed security compliance, collaborating with teams and vendors.

The Coding Outsourcing Manager will oversee outsourced acute care coding operations, ensure quality services, address performance issues, and lead coding teams while collaborating with vendors and stakeholders.

Build and maintain MLOps pipelines, deploy and monitor ML models as scalable services, transform and integrate healthcare data (FHIR/HL7), ensure reproducible feature management, and uphold HIPAA/HITRUST security for production ML in clinical systems.

Lead a cross-functional team to develop medical coding software and improve a chart confidence pipeline. Translate stakeholder requirements, guide data scientists and engineers, evaluate recommendations, and report progress to internal stakeholders to increase automation and chart readiness.