• Provide remote and onsite consulting and implementation services to members around product utilization and best practices. • Analyze internal data to prioritize opportunities effectively and provide a plan. • Perform research and data analysis on Member’s product use to better deliver more value to underutilized products or best practices. • Develop and deliver software training to internal and external stakeholders as needed. • Coordinate and present at related workshops and industry related events as needed. • Build tools to help support the needs assessment of our Membership and how they utilize NISC’s solutions.  • Influence and gain Member interest around implementing new product functionality and/or best practices. • May be asked to record walk through product trainings and recordings with the internal Learning Center. • General expectation is primary focus is within one to multiple products within one to multiple industries. • Maintain an in-depth level understanding of product integrations. • Execute special projects with a moderate to high degree of difficulty with independence as needed or requested.  • May be asked to help participate in NISC’s Member Information Conference, Advisory Meetings and other related events. • May be asked to mentor others. • Proactively engage internal departments and leadership on industry trends related to product road maps and direction. • May provide strategic input to internal and external senior level leaders around product utilization. • Serve as onsite champion and change manager for Member product initiatives. • Low to Moderate level amounts of travel required.

• Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications. • Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns. • Evaluate AI technologies, services, and frameworks to support current and future project needs. • Ensure architecture supports approved future phases without expanding the authorized MVP scope. • Design AI solutions leveraging Amazon Bedrock and AWS cloud services. • Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization. • Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning. • Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance. • Optimize AI architectures for scalability, operational cost, reliability, and response time. • Collaborate with DevSecOps teams to support deployment automation and operational readiness. • Design integration between AI services and existing enterprise healthcare applications. • Define secure interfaces utilizing REST APIs and modern integration patterns. • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD. • Collaborate with application development teams to integrate AI capabilities into clinician workflows. • Promote consistent architecture patterns and engineering best practices across JLV development teams. • Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements. • Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture. • Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities. • Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII). • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls. • Serve as the technical leader for AI architecture across the JLV contract. • Mentor software engineers and provide architectural guidance throughout the software development lifecycle. • Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation. • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance. • Present technical approaches and architectural recommendations to Government leadership and stakeholders.

• Serve as the client-side senior authority on SAP data migration; face off to the System Integrator's data lead as a technical peer. • Review and challenge the SI's data migration approach and push back where the approach carries unnecessary risk, cost, or downstream operational burden. • Advise the program on migration architecture decisions specific to greenfield S/4HANA from non-SAP sources (Oracle EBS, JD Edwards, PeopleSoft, custom systems), including source-to-target data model translation and legacy-concept-to-SAP-concept mapping. • Advise on tooling selection when the SI's approach is still open and evaluate trade-offs on fit, cost, timeline, and regulated-industry auditability. • Provide hands-on coordination and delivery. • Own day-to-day execution coordination of the client-side data workstream across all domains. • Keep the migration task plan current, flag slippage early, and drive resolution. • Serve as the daily point of contact with the SI's data migration team; track integrator deliverables and escalate delays. • Run regular working sessions with client data owners and the integrator's team; chase open actions, decisions, and deliverables between meetings. • Set and monitor cleansing standards across data domains against agreed quality thresholds; validate that the SI's quality criteria are fit for S/4HANA go-live. • Coordinate with business data owners to keep cleansing on schedule; unblock issues with the right people rather than deferring upward. • Surface data quality risks the SI may not flag (missing legacy concepts, silent data loss in transformation, dependencies across domains) before they become critical. • Organize and track mock load cycles across all domains. • Review reconciliation results independently of the SI. • Ensure business teams complete validation tasks within cycle windows and that findings are actioned. • Ensure data migration activities comply with the organization's data classification policy and applicable regulatory requirements throughout extraction, staging, transformation, and load. • Maintain the data migration cutover plan; coordinate extraction and load scheduling with the SI and technical teams. • Prepare data readiness inputs for go/no-go decisions and provide informed, independent risk assessment to program leadership. • Support hyper care on data-related issues post go-live. • Support migration status reporting and RAID logging for program leadership.

• Design, configure, and maintain SAP PP solutions • Collaborate with plant operations managers and supply chain leaders • Lead functional workstreams within SAP operations projects • Provide expert-level functional support for SAP operations-related incidents