Medisolv, Inc.

Customer Success Manager

• Build and maintain strong relationships with stakeholders at all organizational levels, from Executives to Quality Managers, ensuring full utilization of Medisolv’s solutions.
• Leverage commercial expertise to identify and pursue opportunities for partnership expansion through renewals, cross-selling, and upselling, always aligning efforts with each organization’s objectives.
• Safeguard data accuracy and integrity within Medisolv applications, enabling clients to enhance care quality and meet federal regulatory requirements.
• Combine expertise with proactive relationship management to help healthcare organizations achieve compliance and improve patient outcomes using Medisolv’s solutions.
• Demonstrate a strong understanding of quality measures and communicate effectively about them across all organizational levels.
• Troubleshoot issues efficiently, take the initiative, ensure excellent service, think creatively, and thrive in a dynamic environment where every day brings new challenges.
• Collaborate with internal teams to address data accuracy and integrity, using expertise to educate stakeholders and improve service delivery.
• Strengthen strategic account engagement by identifying opportunities for cross-selling, upselling, and renewals to drive customer satisfaction and retention.
• Monitor account health and represent client interests within Medisolv, providing actionable feedback and working cross-functionally to enhance products and services for long-term client success.
• Build and maintain trusted relationships with executive stakeholders by understanding their goals, workflows, and challenges.
• Proactively engage clients through structured meetings and business reviews, guiding them through Medisolv’s solutions and ensuring they are informed about relevant quality measures.

Project Manager

• Manage end-to-end implementation process of software solutions for healthcare clients
• Serve as the primary point of contact for clients throughout the implementation lifecycle
• Collaborate with cross-functional teams to develop comprehensive implementation plans
• Provide regular updates on project status, team performance, and client feedback

Implementation Project Manager

Support Engineer

• Respond to customer inquiries across all channels
• Investigate technical data-related issues
• Triage and escalate tickets to appropriate teams
• Monitor and update ticket status
• Support Snowflake and AWS platforms
• Collaborate with other teams for issue resolution
• Educate customers on application features

Customer Care Technical Analyst

Data Specialist

• Develop, maintain, and optimize scalable data pipelines using Azure technologies (e.g., Azure Data Factory, SQL Server)
• Build and support ETL/ELT workflows to enable efficient data processing and transformation
• Maintain data models and ensure data quality, consistency, and performance across systems
• Expand capabilities into big data environments (e.g., Databricks, Snowflake) as needed
• Monitor pipeline performance and troubleshoot failures or inefficiencies
• Configure and manage ingestion of EMR data into Medisolv’s platform, including direct integrations and flat file transfers
• Map and validate clinical and encounter data to support accurate quality measure reporting
• Identify and resolve data discrepancies, formatting issues, and integration gaps
• Validate data transformations and ensure compliance with Medisolv standards and regulatory requirements
• Serve as a resource for resolving data-related issues escalated from implementation or support teams
• Work closely with teams across Implementation, Customer Success, Product, and Engineering to resolve data issues
• Partner with clients to align data integration processes with Medisolv best practices
• Support production rollouts and onboarding of new client data integrations
• Translate data challenges into actionable solutions for both technical and non-technical stakeholders
• Contribute to reporting, dashboards, and visualization tools (e.g., Sisense, Power BI)
• Document workflows, best practices, and data integration standards
• Identify opportunities to automate repetitive processes and improve efficiency
• Help evolve Medisolv’s data architecture and integration standards

Data Specialist – Healthcare Data, Integration

Product Manager

• Build a deep understanding of Medisolv’s data ecosystem and CMS measure logic (HEDIS, Pharmacy, CAHPS/HOS).
• Align with engineering, AI, and clinical stakeholders on priorities and high-impact use cases.
• Design and prototype AI agents to identify care gaps and predict Star Rating risks.
• Deploy production-ready AI agents that connect insights directly to gap-closing actions.
• Optimize AI performance with feedback loops and expand to more advanced use cases.

Senior Product Manager – Value-Based Care, AI

Platform Engineer

• Build and maintain core application workflows
• Improve LLM-powered product logic
• Extend configuration-driven multi-tenant architecture
• Enhance operational tooling and internal UX
• Focus on testing and reliability

AI Engineer – Clinical AI Platform

Data Engineer

• Work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data.
• Assist in loading and troubleshooting data issues from EHR vendor products (including but not limited to: Epic, Meditech, Cerner and EClinicalWorks).
• Support CMS quality measures (HEDIS/Stars) and fuel downstream AI workflows.
• Integrate with the data management team and become familiar with workflows and tools in Azure and AWS environments (Snowflake, Databricks, Data Factory, Glue, Lambda, SQL Server).
• Review existing data pipelines, data models, and transformation scripts to support troubleshooting.
• Investigate technical and data-related issues affecting measure results and mapping (e.g., SNOMED, ICD-10, RXNORM).
• Apply SQL querying skills to investigate data anomalies within Databricks and Snowflake environments.
• Troubleshoot data pipelines to support internal operations and client deliverables.
• Perform data analysis to identify trends, discrepancies, and opportunities for improvement.
• Collaborate with cross-functional teams to gather requirements and enhance data quality and reporting outputs.
• Develop and deliver dashboards, reports, and visualizations that support business and client decisions.
• Monitor data quality, troubleshoot issues, and drive improvements in data integrity and consistency.
• Partner with stakeholders to translate data into actionable insights aligned with business goals.
• Lead enhancements to data architecture, reporting capabilities, and data processes.
• Support advanced analytics initiatives, including predictive insights and AI-driven solutions.
• Document processes and establish best practices to ensure scalability, reliability, and consistency as the organization grows.