Avalon Healthcare Solutions

Full-stack Engineer

• Software development with both Java and React
• Participate in SCRUM lifecycle including all relevant meetings
• Assist with management of deployed application on AWS
• Assist with daily operations and administrative tasks
• Conduct research and compile reports
• Support project planning and execution
• Collaborate with team members on various assignments
• Participate in team meetings and training sessions
• Provide general support to the department as needed

Software Engineer, Coordinator

DevOps Engineer

• Architecting, designing, implementing, and supporting tools and practices that enhance engineering productivity and operational efficiency
• Establishing and maintaining scalable, automated CI/CD processes aligned with organizational standards
• Contributing to the advancement of development workflows, automation, and infrastructure capabilities to support reliable and efficient software delivery
• Identifying opportunities for improvements to continuously drive greater operational excellence
• Responsible for driving Site Reliability Engineering (SRE) and Platform Engineering (PE) principles
• Collaborating with IT Operations, Application Development Scrum Teams, Database, EDI, and Clinical Operations teams to provide ongoing support
• Driving technical excellence and demonstrating the leadership required to establish and advance a mature DevOps practice for Avalon.

DevOps Engineer III

• Collaborate closely with peers, architects, and engineering leadership
• Lead hands-on development
• Mentor and support engineers at all levels
• Coordinate cross-team efforts
• Partner with product and design stakeholders
• Drive improvements in engineering processes, tooling, and standards

Principal Software Engineer

Business Analyst

• Collaborate with business, clinical, and IT teams to gather, define, and document business and technical requirements for analytics, reporting, and data integration initiatives.
• Translate stakeholders into detailed functional specifications, source-to-target data mappings, and process documentation.
• Design, develop, and maintain Tableau dashboards and reports that deliver actionable insights into lab utilization, provider patterns, and operational performance.
• Perform data validation, root cause analysis, and reconciliation to ensure the accuracy and integrity of data used in reporting and analysis.
• Present findings, metrics, and recommendations through clear visualizations, written summaries, and stakeholder presentations.
• Support ongoing enhancements to data models, pipelines, and reporting frameworks within Snowflake to improve scalability and performance.
• Collaborate with medical policy, clinical operations, and analytics teams to measure the impact of policy changes and identify areas for improvement.
• Act as a liaison between technical developers and business users to ensure alignment on data definitions, logic, and report outputs.
• Facilitate requirements sessions, data review meetings, and cross-functional workgroups to support timely project delivery.
• Maintain compliance with HIPAA and other healthcare data privacy and security standards.
• Stay current with advancements in healthcare analytics, data visualization best practices, and Snowflake/Tableau technologies.
• Continuously evaluate and recommend process, system, and reporting enhancements to improve the efficiency and effectiveness of data-driven programs.

Reporting Business Analyst

Account Manager

• Build strong partnerships and rapport with all levels of the clients’ organization; represent the voice of the customer
• Understand client’s competitive environment and challenges
• Consult with clients to understand business priorities for expansion and innovation
• Develop and lead the execution of cross-functional client strategic plans, including the development of effective value propositions to increase volume and profitability from Avalon network providers
• Work collaboratively with clients and internal partners to translate requests into actionable strategies and tactics to improve performance and deliver value
• Manage client contracts, facilitate deliverables, and drive initiatives
• Understands complex client financial arrangements and strategies
• Drives contract renewals including amendment execution
• Proactively review performance metrics to promote client satisfaction and work to anticipate needs and exceed client’s expectations
• Works directly with the client to understand, represent, and drive client operational requirements throughout the organization
• Manages the execution of standard client requirements
• Responsible to ensure communication of the root cause and resolution path for operational issues that impact the assigned client
• Maintains appropriate documentation regarding change orders, operational issues, and problem resolution

Vice President, Account Management

Data Engineer

• Use various methods to transform structured and unstructured data into useful data systems
• Prepare data and the Snowflake environment for AI, agents, modeling
• Manage Snowflake assets, including usage and spend
• Ensure analysts, AI developers and business owners have valid and reliable data and Snowflake instances available

Data Engineer III, Snowflake

Support Engineer

• Ensure adherence to established corporate security and compliance standards
• Collaborate with developers and team members to design and implement reliable interfaces
• Partner with internal business teams and external trading partners to enable successful exchange of integration files
• Document and follow established enterprise and industry best practices
• Support the ongoing integration of B2B technologies with multiple business systems and platforms
• Troubleshoot and resolve communication and data transfer failures
• Participate in a 24x7 on-call support responsibilities rotation
• Document MFT processes for trading partners, business partners, and internal teams
• Participate in server and software health maintenance
• Contribute to the design and development of tracking, monitoring, and management tools for MFT traffic

MFT Support Analyst

Product Manager

• Define and own the long-term vision for core technology platforms
• Translate business priorities into scalable platform capabilities, including AI-driven automation and intelligence
• Establish a modular, extensible architecture supporting advanced and traditional platform services
• Develop and manage platform roadmaps aligned with engineering capacity and business priorities
• Partner with Engineering to drive agile delivery and enable AI and product innovation
• Define and track success metrics such as adoption, performance, reliability, and quality
• Collaborate with Engineering, Data, Security, and Architecture leaders for cohesive platform development
• Serve as a translator between technical and non-technical stakeholders
• Drive platform evolution supporting workflow automation, data ingestion, governance, and real-time insights
• Establish best practices for prioritization, documentation, lifecycle management, and governance
• Ensure high standards for scalability, reliability, efficiency, security, and compliance
• Drive platform adoption through strong internal and external user experiences

VP, Technical Platform Product Manager

• Own and manage the product backlog for Applied Intelligence initiatives, including AI/ML models, analytics products, and automation solutions.
• Lead ongoing backlog refinement sessions with cross-functional stakeholders to ensure priorities reflect current business needs.
• Translate business problems into clear user stories, acceptance criteria, and prioritized work for engineering and data science teams.
• Partner with Engineering and Data teams in agile delivery, ensuring timely and high-quality releases.
• Continuously refine and reprioritize backlog based on business impact, performance insights, and stakeholder feedback.
• Proactively engage business stakeholders to identify and validate high-value opportunities for AI/ML and advanced analytics.
• Support the development of use cases such as predictive modeling, decision support, anomaly detection, and workflow automation.
• Act as the primary liaison between business teams and technical teams.
• Drive structured discovery and prioritization processes with stakeholders.
• Communicate progress, risks, and outcomes to stakeholders at all levels.
• Partner with data engineering teams to ensure availability, quality, and accessibility of data.
• Define and track KPIs for AI-driven features and drive continuous improvement.

Product Owner – Applied Intelligence

Manager

• Oversee daily operations of preservice utilization management activities
• Lead a team of nurse clinicians
• Responsible for workload management, staff development, and maintaining standard operating procedures (SOPs)
• Ensure effective inventory oversight, prioritization, and adherence to service level agreements (SLAs)
• Collaborate with executive leadership, vendors, and Medical Directors for clinical criteria and medical necessity determinations
• Accountable for clinical quality, accuracy, turnaround times (TAT), and compliance with contractual SLAs

Manager, UM Preservice Review

• Define and operationalize a standardized quality testing framework (system implementation tools, UAT, regression, performance testing) to position for automation opportunities in the coming 1-2 years
• Establish clear entry/exit criteria, defect severity models, and validation standards
• Ensure data integrity and end-to-end system validation across integrations
• Drive adoption of risk-based and predictive testing approaches
• Lead quality efforts across the full implementation lifecycle
• Partner with implementation, product, and enforcement engineering teams to ensure readiness at each phase
• Own go/no-go readiness assessments and executive-level quality summaries
• Ensure successful execution of high-priority implementations (e.g., complex enterprise clients)
• Build and lead a high-performing, cross-functional QA/testing team
• Develop structured career paths, competency models, and training programs
• Mentor team members in both technical skills (SQL, APIs, system behavior) and leadership capabilities
• Oversee regression testing frameworks, including automation and data-driven test generation
• Establish clear handoffs between requirements, testing, and implementation phases
• Standardize prioritization frameworks and improve documentation and onboarding pathways
• Reduce reliance on manual processes through automation and tooling; improve coordination across tools (e.g., JIRA, Smartsheet)
• Lead escalation and resolution of systemic issues impacting quality and delivery
• Build a centralized, structured knowledge system and establish feedback loops for continuous improvement

Quality Testing and Implementation Manager

• Develop and maintain high complexity data features.
• Troubleshoot and debug high complexity problems.
• Support other team members in feature development with Paired Programming, reviewing PRs, etc.
• Monitor, maintain, and improve existing production data pipelines and processes.
• Build new reliable, scalable, efficient ETL processes extracting data from multiple sources.
• Own and refine requirements of assigned tickets independently.
• Apply understanding of Avalon’s business knowledge when developing features and refining tickets.
• Effectively communicates risks and dependencies within and across teams.
• Effectively explain complex problems and quantify the value proposition of a feature.
• Support analytical teams, tools, and programs using Data Warehouse products.
• Automate data pipelines, monitoring, and maintenance.
• Participate in code review, working to identify, debug, and version control code changes.
• Partner with stakeholders to understand their data needs and deliver quality data products.
• Collaborate with team members on several projects at once.
• Employ strong analytical and organizational skills and attention to detail.
• Curate data for advanced analytics and data science.
• Ensure data accuracy, quality, security, integrity, and reliability.
• Maintain documentation of data, ETLs, processes, repositories, issues, etc.
• Evaluates new technologies and tools.
• Participate in Agile team ceremonies.

Data Engineer III

• Evaluate inbound data for completeness, reliability, veracity, published standards, and agreed-upon specifications from external sources, including partners and clients.
• Ingest laboratory and medical claims data into Snowflake databases for analytical use.
• Extract and ingest structured data from sources such as SQL databases, CSV, JSON, and other formats into Snowflake and the enterprise data lake using AWS Iceberg.
• Extract, process, and ingest unstructured and semi-structured data from document- and text-based sources into Snowflake and the data lake.
• Curate and prepare data for advanced analytics, artificial intelligence, and data science initiatives, including use within Snowflake Intelligence and Cortex tools.
• Build and maintain data systems and pipelines that enable reliable, repeatable data onboarding and movement through medallion architectures.
• Interpret data trends and patterns to support analytical and business insights.
• Assist in the development of data engineering pilots and tools using SQL, Python, AWS Glue, Snowflake, and Terraform.
• Identify and implement opportunities to improve data quality, integrity, and reliability.
• Collaborate with team members across multiple concurrent projects.