The analyst will execute data conversion strategies, including mapping and validation, to migrate CMS program data into the Facets platform. They will also develop SQL queries to resolve data discrepancies and collaborate with technical teams to ensure data integrity.
Shyft6
55 Remote Job Openings at Shyft6
The Facets Migration Lead will oversee end-to-end data migration and transformation initiatives for healthcare payer programs. This role involves defining conversion strategies, ensuring data auditability, and collaborating with cross-functional teams to drive successful implementations.
The trainer will deliver instructor-led and virtual training sessions for back-end revenue cycle functions on the Athena IDX platform. They will also customize training materials, provide hands-on support, and collaborate with project teams to ensure system workflows are effectively communicated.
The role involves monitoring application performance, troubleshooting system issues, and performing root cause analysis to ensure stability. The engineer will also support the Facets migration process by collaborating with cross-functional teams and managing incident tickets.
The Project Manager will lead a portfolio of IT projects through the full systems development lifecycle, ensuring alignment with business objectives and technical requirements. They are responsible for managing project scope, budgets, and schedules while facilitating communication between technical teams and stakeholders.
The Data Engineer will support a large-scale Facets migration project by managing data entry, migration activities, and ensuring data integrity. They will collaborate with stakeholders to validate data consistency and maintain documentation for all data processes.
The analyst will configure and maintain Facets system rules, benefit plans, and operational parameters to ensure accurate claims adjudication. They will also collaborate with cross-functional teams to support system updates, data migration, and regulatory compliance.
Design, develop, and maintain integration solutions across the Facets platform to ensure seamless data flow between healthcare systems. Collaborate with cross-functional teams to translate requirements and support migration, testing, and deployment activities.
The DevSecOps Engineer will bridge development and operations teams to streamline software delivery and integrate security best practices throughout the lifecycle. They are responsible for building CI/CD pipelines, monitoring infrastructure, and supporting the Facets migration project.
The Test Engineer will coordinate and execute test events, including functional, integration, and system testing to ensure quality for a Facets migration project. They are responsible for setting up test environments, documenting defects, and collaborating with cross-functional teams to resolve issues.
The Test Manager will lead system integration testing efforts and coordinate across multiple workstreams for a large-scale Facets migration project. They are also responsible for gathering business requirements, defining process flows, and ensuring traceability between requirements and test coverage.
The Test Engineer will coordinate and oversee system integration testing (SIT) events for a large-scale Facets migration project. They are responsible for developing test plans, managing defect tracking, and ensuring all system components meet business and technical requirements.
The Business Analyst will act as a liaison between business and technical teams to facilitate a large-scale Facets migration project. Responsibilities include gathering requirements, documenting workflows, and supporting system integrations and testing activities.
The Test Manager will lead end-to-end testing activities, including strategy development, execution, and reporting for a large-scale Facets migration project. They will also facilitate requirements gathering and bridge the gap between business needs and technical system functionality.
The Facets Testing Architect will lead the end-to-end testing strategy for large-scale Facets migration projects within a healthcare payer environment. This role involves designing testing frameworks, managing test data, and ensuring system compliance with CMS standards.
The role involves designing and implementing automated testing strategies to ensure system quality and performance during a large-scale Facets migration. Responsibilities include creating test scripts, managing defects, and collaborating with cross-functional teams to support system integration and user acceptance testing.
The Cloud Engineer will design, develop, and maintain cloud-based applications and integrations to support large-scale healthcare system migrations. They will also perform full software development lifecycle activities and ensure system performance, scalability, and security.
The Performance Test Engineer will design and execute performance, load, and stress testing strategies to ensure the scalability and reliability of the Facets platform. They will collaborate with cross-functional teams to identify system bottlenecks, validate performance during migration, and provide detailed reports to stakeholders.
The Security Engineer will oversee operational security controls and ensure audit readiness for a large-scale Facets migration project within a healthcare payer environment. They will monitor systems for threats, perform risk assessments, and collaborate with cross-functional teams to embed security best practices.
The role involves leading the architectural design and implementation of the Facets platform while defining technical standards and system integrations. The architect will also oversee environment strategy and ensure compliance with CMS regulatory requirements for healthcare payer operations.
The Batch Operations Analyst is responsible for setting up, scheduling, and monitoring batch jobs to ensure efficient system operations within a Facets environment. They will also analyze batch logs, troubleshoot failures, and coordinate with various teams to support system stability during and after migration.
The Project Administrator will provide administrative and operational support to project managers, including tracking financials, schedules, and deliverables. They will also coordinate resource onboarding, maintain project documentation, and facilitate communication across cross-functional teams.
The Environment Management Lead will design and manage the overall environment strategy for a large-scale Facets migration project. They are responsible for overseeing the configuration, maintenance, and availability of all development, testing, and production environments.
The DevSecOps Engineer will bridge development and operations to streamline software delivery and deployment processes. They will also integrate security best practices into the development lifecycle and support system integrations for the Facets migration project.
The Kubernetes Administrator will install, configure, and manage containerized applications across production-grade clusters to ensure system reliability and performance. They will also support deployment activities for the Facets migration project and maintain CI/CD pipelines.
The analyst is responsible for configuring and maintaining Facets system rules, benefits, and operational parameters to ensure accurate claims adjudication. They will also collaborate with cross-functional teams to troubleshoot configuration issues and support system optimizations.
The Project Manager will lead large-scale business transformation initiatives within the healthcare payer space, specifically focusing on Medicare Advantage programs. They are responsible for managing project scope, timelines, and cross-functional teams while ensuring system configurations and workflows align with CMS requirements.
The Facets Solution Architect Lead will design, configure, and optimize healthcare systems to support CMS program requirements and operational workflows. This role provides technical leadership to ensure system architecture aligns with federal regulations and supports efficient payer operations.
The AI Support Admin serves as the primary escalation point for AI-related technical issues and supports the adoption of AI tools across the firm. They collaborate with readiness and training teams to maintain system health, document best practices, and assist in the rollout of new AI capabilities.
The analyst will build and configure enhancements for the Epic Tapestry Utilization Management module, specifically focusing on Service Authorizations. They will also manage multiple projects, perform troubleshooting, and provide support during go-live implementations.
The Finance Systems Analyst provides fractional subject matter expertise to validate high-risk financial workflows and releases. They are responsible for reviewing benchmark scenarios, identifying domain edge cases, and providing structured feedback to improve quality standards.
Design, deploy, and manage scalable AWS-based infrastructure to support AI/ML workloads and data analytics platforms. Collaborate with cross-functional teams to maintain secure cloud environments and automate deployment processes via CI/CD pipelines.
The role involves providing subject matter expertise to validate high-risk finance workflows, scenarios, and releases. You will review benchmark outputs for accuracy and provide structured feedback to improve quality standards and business processes.
The role bridges production support with finance practices to distinguish between software defects, data issues, and business process gaps. It ensures that support decisions reflect real finance context and operational materiality for stakeholders.
The AI Security Specialist will design and implement security controls for AI-driven applications and cloud environments while mitigating risks like data poisoning and model leakage. They will also monitor systems for threats, conduct vulnerability assessments, and ensure compliance across data pipelines and integration platforms.
The Asset Management Analyst will track, analyze, and optimize asset performance across various systems and client environments. They will develop dashboards, reconcile data, and provide actionable insights to support business and operational decision-making.
Design, deploy, and manage Azure-based infrastructure and services to support AI-driven applications and data platforms. Collaborate with engineering teams to implement scalable cloud solutions and maintain CI/CD pipelines for deployment automation.
The Cloud Architect will design and lead scalable, secure cloud solutions across AWS and Azure to support AI-driven applications and data platforms. This role involves establishing governance frameworks, managing infrastructure as code, and collaborating with cross-functional teams to ensure architectural standards.
The Security Engineer will design and implement security controls across cloud environments, data platforms, and AI-driven applications. They will also collaborate with engineering teams to embed security into CI/CD pipelines and manage incident response.
The role involves supporting the development, security, and deployment of AI-driven applications by maintaining CI/CD pipelines and cloud infrastructure. You will collaborate with engineering and security teams to implement DevSecOps practices, manage identity controls, and perform vulnerability monitoring.
The Junior Project Manager will support the planning, tracking, and execution of AI and data-driven initiatives. They will coordinate with cross-functional teams, manage project documentation, and assist with client communication and deployment activities.
The Senior Project Manager will lead end-to-end delivery of AI, data, and cloud-based initiatives while managing project scope, budgets, and cross-functional teams. They will serve as the primary point of contact for clients and executive stakeholders to ensure successful project execution and governance.
Define and lead the enterprise-wide test automation strategy across AI, data, and cloud platforms. Design scalable automation frameworks and integrate them into CI/CD pipelines to ensure quality across distributed architectures.
The manager will lead the QA strategy and testing frameworks for AI-enabled applications, data platforms, and CRM integrations. They are responsible for defining AI/ML validation methodologies and ensuring the reliability and performance of integrated cloud-based solutions.
The role involves designing and executing automated test scripts across application, API, and data layers within cloud-based environments. You will collaborate with cross-functional teams to validate data integrity, performance, and AI/ML-driven features.
The Data Architect will design and lead the development of scalable, cloud-based data ecosystems to support AI-driven solutions and advanced analytics. They will also define data governance standards and collaborate with cross-functional teams to ensure seamless integration across platforms.
Lead the architecture, design, and development of scalable, AI-enabled applications and platforms across cloud environments. Collaborate with engineering and data teams to implement data pipelines, analytics solutions, and governance frameworks.
Lead the QA strategy and validation efforts for finance-focused applications, data pipelines, and AI-driven solutions. Act as a subject matter expert to ensure financial accuracy, compliance, and integrity across reporting tools and system integrations.
The AI Operations Analyst will monitor and support AI/ML-driven applications to ensure performance, reliability, and data accuracy. They will also investigate production issues, manage data pipelines, and collaborate with technical teams to optimize AI workflows.
The AI Quality Analyst will execute test cases to validate AI/ML model outputs, data pipelines, and system integrations. They will also collaborate with engineering teams to identify defects and ensure the reliability of AI-driven applications.
The AI System Readiness Leader will define and execute strategies for deploying, operationalizing, and scaling AI-driven solutions across client environments. This role involves coordinating cross-functional teams to ensure data pipelines, reporting layers, and CRM integrations are fully validated and production-ready.
The role involves providing L2/L3 production support for AI-driven applications, data pipelines, and cloud-based infrastructure. Responsibilities include monitoring system performance, performing root cause analysis, and collaborating with engineering teams to ensure system reliability.
Lead and manage production support operations for AI-driven applications, data platforms, and client-facing solutions. Oversee incident management, system health monitoring, and the establishment of SLAs to ensure stable and reliable service delivery.
Deliver live virtual and onsite training sessions for AI-driven tools and platforms while developing comprehensive user guides and training materials. Partner with product and engineering teams to support client onboarding and ensure successful adoption of technical solutions.
The AI Support Analyst will provide L1/L2 support for AI-driven applications, data pipelines, and integrations while monitoring system performance. They are responsible for troubleshooting issues, validating data quality, and maintaining documentation to ensure production stability.