• Provides clinical information management, data collection, analysis and reporting of metrics related to the care of the trauma patient, including financial, clinical and outcome data working closely with the Trauma Program Manager. • Abstracts patient information mostly from EPIC, Medical Examiner Reports, etc., and enters all patient information required into the trauma registry. • Maintains daily lists, reports, participates in TEAM meetings, Interrator Reliability work and continuing education requirements.

• Advise and influence program directors, factory leaders, and external customers while leveraging strong communication, influence management, and presentation skills to effectively interact with stakeholders. • Manage and execute the processes, standards and plans in support of the Operations, Supply Chain and Quality (OSC) strategy. • Be accountable to lead tooling procurement across the Portfolio implementing synergies cost savings and strategic planning in excess of $20M. • Provide Cost Account Management (CAM) support as needed. • Engage and support metrics for monthly Management Board Review meetings. • Provide support for proposals including writing Basis of Estimates (BOEs) and Standard Bidding Tool (SBT). • Provide support as needed for Visual Factory including programming understanding of dashboard Program BI. • Provide support to the Material Program Manager (MPM) team for metrics, data analytics, presentations and supplier engagements. • Implement key performance indicators internally with Operations to ensure timely delivery to customers and adherence to the plan. • Lead initiatives focused on driving operational excellence, continuous improvement, and efficiency across OSC processes (CORE).

• Work with the AI/ML team to develop and apply novel machine learning frameworks and methodologies supporting the design and evaluation of turbine components for the Hot Section Engineering organization • Deploy AI/ML applications and/or agentic workflows within Hot Section processes and tools • Communicate technical solutions and insights to internal/external customers and organization leadership • Advocate for and participate in fundamental AI/ML research with academic and external research institute partners • Collaborate with RTX AI/ML teams to strengthen corporate level AI/ML initiatives and infrastructure

• Build and maintain dbt models that transform source data into clean, tested datasets for analytics and reporting. • Write SQL to investigate data issues, validate new sources, and answer stakeholder questions with accurate, reproducible logic. • Implement data quality checks (dbt tests, freshness, reconciliations) and help resolve production data issues, including on-call rotation. • Document models, metrics, and lineage so teammates and stakeholders understand definitions and dependencies. • Partner with analysts and business teams to deliver production-ready data products—not just ad hoc queries. • Use modern tooling—including AI-assisted frameworks—to move faster while keeping quality and review standards high.