• Drive encounter data quality, compliance, and operational performance. • Lead a team of 2–5 associates overseeing Medicare and Medicaid encounter data operations. • Identify and implement process improvements to increase efficiency, quality, and compliance. • Serve as a subject matter expert for Medicare and Medicaid encounter error correction processes. • Present performance results, key accomplishments, and areas of concern to business stakeholders.

• Define and govern metadata (data definition & structure) across workflows, automation, and AI-driven processes to ensure consistent, controlled system behavior • Establish standards for system configuration design, reuse, and lifecycle management across Salesforce and integrated platforms • Lead end-to-end data conversion as a business function—not just a technical activity • Partner with regions to drive data assessment, profiling, cleansing, and enrichment • Own object mapping from legacy systems to Salesforce and downstream platforms, ensuring decisions support operational continuity, auditability, and reporting integrity • Own the end-to-end governance of system configuration changes, including intake, prioritization, impact assessment, and release management • Establish full traceability of metadata changes, ensuring who changed what, when, and why is always visible • Govern AI agents (e.g., Agentforce) to ensure their actions are predictable, explainable, and aligned with business rules • Provide governance over data conversion activities, ensuring alignment between metadata structures, data models, and migration logic • Serve as the governance counterpart to IT and platform teams

• Manage and maintain Airtable databases to a high standard of data cleanliness and accuracy; • Track incoming support requests and collaborate with team members across Vocal departments to support a wide variety of data needs and deliver solutions; • Create and maintain scripts to automate data entry and ingestion; • Implement quality assurance protocols to ensure accuracy of data and technical products; • Assist with cleaning, preparing, and exploring data to support client reports and internal and external dashboards.

• Ensure accurate and compliant Medicare and Medicaid encounter submissions. • Use data analysis and process improvement techniques to increase submission acceptance rates and operational efficiency. • Work independently on routine to moderately complex issues and support departmental goals through process improvement. • Support encounter data integrity by managing claims and encounter data errors. • Identify issues, recommend solutions, and ensure compliance with Medicaid data submission requirements. • Manage and analyze large datasets related to Medicaid claims and encounter data to identify trends and patterns. • Maintain data quality control processes to ensure accuracy and completeness of data. • Collaborate with teams to design and implement data management solutions. • Conduct data validation and quality assurance activities to ensure data integrity. • Develop and maintain documentation of data management processes.