• Implements and maintains EpicCare systems and databases to ensure optimum performance. Performs analysis of new releases and determines how they will impact workflow. • Defines modifications to application software or databases to address system functions or enhancements. • Facilitates Epic updates, new releases and system enhancements. Manages all phases of testing and assists Lead/Project Manager in work effort and project scoping. • Manages complex IT projects/products in order to provide automated solutions that meet Inova Health System's business needs using the EpicCare solution. • Initiates issues for resolution while escalating and communicating status to management in a timely manner. • Conducts and participates in system technical and application reviews to determine feasibility, cost and evaluate usefulness for Inova. Coordinates vendor demos, site visits and reference calls. • Makes recommendations for team/analyst training programs and assists in the development and implementation of team member training/mentoring activities. • Performs other duties as assigned.

• Build and maintain Python-based data pipelines to ingest, process, and analyze large-scale autonomy datasets • Develop tools to extract and manipulate data from cloud-based storage systems (AWS, GCP, etc.) • Work with HD/SD map data, vehicle telemetry, and simulation outputs to support autonomy workflows • Write performant and scalable code for data processing, transformation, and analysis • Collaborate with systems, mapping, and AI/ML teams to support data-driven decision making • Develop scripts and tools to support scenario generation, ODD analysis, and validation workflows • Optimize data workflows for performance, scalability, and reliability • Contribute to system-level debugging by analyzing data and identifying root causes of issues • Support integration of data pipelines into broader autonomy and validation systems

• Administer and enhance the Microsoft 365 platform, with a focus on security, compliance, and usability • Deliver reliable enterprise services that support teaching, learning, and operations • Contribute to platform governance and architectural decisions • Partner with IT and campus stakeholders to align services with institutional priorities • Support and govern Microsoft 365 services including Exchange Online, Teams, SharePoint, OneDrive, Power Automate, and Copilot • Manage messaging, collaboration, and compliance capabilities across the platform • Implement security, retention, and governance policies • Troubleshoot complex issues across cloud services • Support service lifecycle management and modernization initiatives • Contribute to the administration and growth of Microsoft Azure services • Help design scalable, secure solutions to meet evolving needs • Participate in governance, identity management, and cost optimization efforts • Support on-premises systems, including VMware environments • Assist with backup and disaster recovery solutions • Contribute to storage/SAN platform management • Support modernization efforts bridging on-prem and cloud environments • Partner with IT Security, Networking, and academic units to deliver integrated solutions • Provide technical expertise to support campus initiatives • Contribute to documentation and continuous improvement efforts

• Lead ODD characterization efforts by analyzing large-scale datasets across real-world, simulated, and mapped environments • Define system-level strategies for leveraging map data (HD/SD), telemetry, and autonomy logs to assess operating conditions • Design and implement Python-based workflows to extract, transform, and analyze data from cloud-based systems • Work across internal and supplier-provided datasets (mapping, perception, vehicle data) to derive actionable insights • Define KPIs and metrics that evaluate safety, performance, and release readiness of autonomy systems • Translate data insights into system-level requirements, design decisions, and validation strategies • Collaborate with mapping, perception, AI/ML, and validation teams to align on data usage and system behavior • Drive technical direction across teams by connecting data, system architecture, and real-world performance • Identify gaps in data, tooling, and system design and propose scalable solutions