• Build and deploy scalable ML/AI and optimization models to enhance demand forecasting, optimize capacity allocation, and develop user-specific feature engineering for real-time cloud gaming services. • Develop reusable framework deployments for data ingestion, processing, and analysis to support dynamic user interventions for targeted business outcomes. • Acquire and apply domain knowledge of the product and software stack to identify and drive the resolution of data inconsistencies and improve model performance, especially in the context of optimization outcomes. • Identify, analyze, and interpret trends or patterns in complex data sets using supervised and unsupervised learning techniques, informing prescriptive solutions. • Design and implement improvements to real-time prescriptive scheduling pipelines, using techniques like linear programming and constraint optimization, to enhance capacity utilization and user retention. • Improve productivity of the organization by mining petabytes of data for actionable insights for business and engineering, often through prescriptive recommendations. • Collaborate with a variety of partners to understand requirements, design robust solutions, and guide the team to deliver impactful results. • Leverage agentic AI to deliver best-in-class automation and programming solutions for complex analytical problems.

• Investigate customer questions about data displayed throughout the AcuityMD platform using SQL. • Research issues end-to-end, identify root causes, and validate findings across multiple data sources. • Distinguish between expected platform behavior, customer education opportunities, and true product defects. • Communicate findings clearly to Customer Success, Support, and customers when appropriate. • Create detailed engineering tickets with reproduction steps, supporting evidence, and root-cause analysis. • Build deep expertise in AcuityMD's data model, business logic, and data pipelines. • Partner closely with Engineering, Product, Customer Success, and Support to improve platform quality and customer trust. • Identify recurring issues and opportunities to improve data quality, tooling, and operational processes. • Help Engineering validate fixes and ensure customer issues are fully resolved. • Expand your technical skills in Python, AI-assisted development, Git, and modern software engineering practices. • Learn how production software is designed, built, tested, and maintained by working alongside experienced software engineers. • Take on increasingly technical projects as your skills grow. • Build the technical foundation needed to transition into a Junior Software Engineer role through demonstrated performance and technical development.

Role Description Primary Responsibilities: - Translate business requirements into functional specifications and manage changes to specifications. - Prioritize, coordinate, and implement updates and requested changes to the system; review and test each new release; troubleshoot problems and questions from end users. - Design and develop clinical and business interfaces in the Epic and/or Oracle Health EMRs according to the project scope and end user workflow with scalability, standard development practices and project constraints in mind. - Mentor team members in integration and conversion best practices, and encourage growth and ongoing learning. - Provide technical guidance on small to medium efforts within the area of scope with limited supervision. - Develop, support, and maintain all required system design and build documents and other system documentation. - Create detailed testing scripts for different phases of the testing lifecycle (functional testing, integrated testing, mapped record testing and/or parallel revenue cycle testing). - Perform daily monitoring of interfaces in production. - Adhere to organization standards for system configuration and change control. - Troubleshoot and/or resolve interface issues and escalate more complex issues as appropriate. Qualifications - Epic Bridges/Interfaces Certification. - 7+ years Interface engineering/development experience. - 5+ years experience in the Rhapsody Interface Engine. Company Description

Role Description The Enterprise Data Analyst serves as a key liaison between business and technology teams, providing analytical expertise, defining data requirements, and ensuring accuracy and consistency across General Bank. The role drives continuous improvement through data analysis, data profiling, data mapping, and validation to support reliable business insights and decision-making. Responsibilities - Requirements Gathering & Business Systems Analysis: - Collaborates with stakeholders to gather and document business and product requirements for data integration and reporting. - Performs data mapping between source and target systems to ensure alignment with business definitions. - Translates business needs into functional specifications for technology teams, ensuring that all requirements are testable and traceable. - Data Analysis & Enhancement: - Conducts data analysis, data profiling, and data validation to ensure completeness, consistency, and integrity across data sources. - Supports data remediation and quality monitoring by partnering with Data Governance and Stewardship teams. - Stakeholder Collaboration & Liaison: - Serves as a bridge between business users and IT, ensuring mutual understanding of objectives, timelines, and outcomes. - Coordinates across teams to clarify data logic, resolve issues, and validate business rules. - Testing & Validation: - Supports User Acceptance Testing (UAT) for new data initiatives, validating that outputs meet business requirements. - Documentation & Governance: - Creates and maintains technical documentation for General Bank data, including source-to-target mappings, data dictionaries, and lineage. - Ensures compliance with enterprise data governance, audit, and control standards. - Maintains detailed change tracking and impact analysis documentation for data related projects. Qualifications - Bachelor's Degree and 2 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 6 years of experience in Data Management, Financial Analysis, or similar Preferred Knowledge & Skills - Knowledge of data spreadsheets and databases - Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes - Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs, IBM InfoSphere Information Management suite or similar Benefits Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits .