• Leading healthcare analytics software solutions for HIS products and clients, collaborating within an agile team of engineers and developers • Implementing enterprise scale application, and reporting solutions. • Determining the design, coding, and delivery of Solventum HIS products and customer solutions. • Supporting Solventum HIS product development for customers across the US and the globe. • Working closely with other teams to deliver our data driven products.

• Partner directly with customers to identify data challenges and design technical solutions - connecting data sources, configuring integrations, automating recurring workflows, and deploying custom reports • Deploy and optimize AI-powered tools and workflows for customers; educate customers and internal teams on prompt engineering, LLM capabilities, and best practices for leveraging AI in their data operations • Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden on the Customer Experience team and improve platform reliability • Execute bespoke data operations such as custom SQL reports, bulk data operations, and backend queries for customers with unique data needs • Own API schemas, ingestion cadence, error handling, Snowflake data shares, and database connections • Identify repeatable patterns across customers and translate them into product requirements, filing tickets and partnering with Engineering to productize solutions • Support internal engineering workflows as a secondary function by helping to triage and resolve quality-of-life bugs and enhancements that are too small for core Engineering but directly impact the Customer Experience team and customers • Carry a light book of data parsing work alongside your teammates to stay grounded in the team's day-to-day workflows and build supporting solutions

• Design, develop, and deploy scalable AI, machine learning, and advanced analytics solutions to drive business value • Build and maintain robust data pipelines, data models, and enterprise data assets that support reporting, analytics, and AI initiatives • Partner with business stakeholders to translate requirements into data-driven solutions and actionable insights • Implement data governance, quality, security, and responsible AI practices to ensure trusted and compliant use of enterprise data • Support the development and enhancement of AI capabilities through predictive modeling, automation, and continuous innovation • Play a key role in advancing Carrier's AI and data transformation strategy through innovative analytics and AI solutions • Support high-visibility, enterprise-scale initiatives and programs that directly impact business performance and decision-making • Collaborate with global cross-functional teams across business and technology functions to deliver scalable digital solutions • Contribute to strategic programs with significant business impact while gaining exposure to enterprise data, analytics, and AI leadership initiatives

• Serve as a subject matter expert for analytics engineering processes, tools, and best practices while providing guidance to junior team members. • Lead preparation, validation, and integration of complex 1st party, 3rd party, and internal datasets to support advanced analytical solutions. • Establish and enforce quality standards to ensure analytical outputs are accurate, reproducible, and aligned with client requirements. • Coach Associate and Analytics Engineers through technical reviews, workflow guidance, and skills development. • Drive automation, standardization, and continuous improvement initiatives to improve scalability and operational efficiency. • Lead technical execution for complex client engagements, coordinate across teams, and proactively manage delivery risks. • Collaborate closely with Data Science, Customer Success, and Product teams to align analytical execution with business objectives and client expectations