Role Description The Encounter Data Specialist is a key member of the WelbeHealth configuration team, and is accountable for supporting and ensuring the successful and compliant submission of encounter data reporting to both CMS (federal) and state agencies. This role is different because the Encounter Data Specialist at WelbeHealth: - Plays a critical role in ensuring accurate and compliant encounter data submissions, directly supporting organizational compliance, reporting integrity, and operational success within a highly regulated healthcare environment. - Partners cross-functionally with internal teams and external vendors to investigate encounter submission issues, identify root causes, resolve data discrepancies, and support scalable encounter reporting processes as WelbeHealth continues to grow. On the day-to-day, you will: - Ensure encounter data submissions meet federal and state requirements. - Analyze and interpret encounter data errors to identify potential issues and trends. - Review and resolve encounter errors in a timely manner to achieve and maintain high encounter submission acceptance rates. - Monitor monthly federal and state encounter data reports and create an error resolution plan. - Stay informed of federal and state updates for encounter data rules and regulations. - Work closely with both internal and external partners to identify issues and perform root cause analyses on encounter rejections related to claims data and eligibility. - Support new implementations of encounter submissions to CMS and state necessary to accommodate company growth. Qualifications - High school diploma or equivalent. - Minimum of three (3) years of experience with encounter data submissions and resolution; five (5) years of experience as a healthcare claims supervisor or above may be substituted. - Excellent organizational, time management, and communication skills. - Proficient with office and electronic communication (i.e., Excel and Microsoft Office). - Ability to work independently with minimal supervision. - Demonstrated ability to prioritize in a fast-paced environment. Benefits - Medical insurance coverage (Medical, Dental, Vision). - Work/life balance - 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days. - 401K savings + match. - Comprehensive compensation package including base pay and bonus. - And additional benefits! Compensation Offering $61,663.43 — $81,395.73 USD COVID-19 Vaccination Policy At WelbeHealth, our mission is to unlock the full potential of our vulnerable seniors. In this spirit, please note that we have a vaccination policy for all our employees and proof of vaccination, or a vaccine declination form will be required prior to employment. WelbeHealth maintains required infection control and PPE standards and has requirements relevant to all team members regarding vaccinations. Our Commitment to Diversity, Equity and Inclusion At WelbeHealth, we embrace and cherish the diversity of our team members, and we're committed to building a culture of inclusion and belonging. We're proud to be an equal opportunity employer. Beware of Scams Please ensure your application is being submitted through a WelbeHealth sponsored site only. Our emails will come from @welbehealth.com email addresses. You will never be asked to purchase your own employment equipment. You can report suspected scam activity to fraud.report@welbehealth.com.

• Collaborate with business and technical stakeholders to define, document, and validate data requirements for external data ingestion. • Ensure compliance with established data governance frameworks, policies, and standards related to data quality, security, privacy, and integrity. • Monitor and enforce governance processes across data ingestion, transformation, and consumption layers. • Promote data stewardship and best practices in data management throughout the organization. • Support governance initiatives related to metadata management, lineage, data ownership, and access controls. • Ensure alignment with data privacy and compliance regulations such as GDPR and CCPA. • Design and implement data ingestion processes for structured and unstructured data from multiple external sources. • Support data integration workflows within the global data lake environment. • Leverage Databricks capabilities to optimize data processing, orchestration, and transformation pipelines. • Work closely with engineering teams to troubleshoot, enhance, and maintain ingestion workflows and data pipelines. • Apply SQL and data modeling concepts to support scalable and efficient data solutions. • Lead strategic and constructive conversations with clients and internal stakeholders. • Act as a liaison between technical and non-technical teams, translating business requirements into governance and technical solutions. • Influence discussions by proposing process improvements and governance best practices. • Communicate complex concepts clearly and effectively to different audiences, including executive stakeholders. • Provide guidance, support, and training on data governance principles and processes.

• Design, build, and evolve Keedian’s analytical platform and multi-tenant data lake architecture • Build and maintain scalable ingestion pipelines from operational systems, APIs, IoT devices, and telemetry sources • Develop and own analytical models, semantic layers, dashboards, and operational reporting • Ensure data quality, lineage, observability, freshness, scalability, and reliability across the platform • Collaborate with Engineering and Product teams to ensure systems and events are analytics-ready • Build the data foundation for predictive maintenance, operational intelligence, anomaly detection, and AI-driven optimization • Help define and measure customer impact through ROI, savings, and operational performance metrics • Contribute to architecture decisions, documentation, governance, and evolution of Keedian’s modern data stack

Role Description We are looking for a highly technical and hands-on Senior Healthcare Data Modeler to lead a global data modeling team responsible for transforming conceptual and logical data models into optimized physical models. This role requires a deep understanding of healthcare data domains (Claims, Pharmacy, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and expertise in enterprise data modeling best practices. The Senior Healthcare Data Modeler will work closely with the Director of Data Modeling to define data modeling standards, metadata governance, and data architecture strategies that align with business and technical needs. They will also collaborate with engineering, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity. This is an exciting opportunity for a technical leader with expertise in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms. Your day to day - Data Modeling Leadership & Best Practices - Lead a global team of data modelers to build scalable, high-performance physical data models aligned with enterprise architecture and industry standards. - Define and enforce data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning. - Convert conceptual and logical data models into optimized physical models using enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar). - Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases. - Maintain metadata, business glossary, and data dictionaries to support data lineage and governance. - Implement data quality rules and validation frameworks to meet industry SLAs and compliance requirements (HIPAA, HITRUST, CMS regulations). - Technical Data Modeling Engineering - Own data modeling workflows, including version control, schema deployment, and upgrade automation. - Own metadata tagging and data quality rules implementation for healthcare data domains. - Work with engineering teams to implement data models in Databricks, Snowflake, and modern cloud architectures. - Optimize data models for query performance, indexing, partitioning, and storage efficiency. - Ensure data enrichment (standardization, transformations, algorithms, and grouping) is seamlessly integrated into the data models. - Design and document data delivery patterns using complex events or business rules to enable real-time and batch processing. - Implement data federation strategies, ensuring interoperability between enterprise data lakes, cloud data warehouses, and transactional systems. - Collaboration & Client Engagement - Collaborate with Director of Data Modeling and client implementation teams to understand client needs, assess data model impact, and enhance models for efficient implementations. - Partner with engineering and product teams to define and prioritize data model features in the product roadmap. - Work with client management teams to provide support and technical expertise during client engagements. Qualifications - 8+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering. - 4+ years leading data modeling teams in enterprise environments. - Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar). - Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures. - Deep understanding of healthcare data models across Core Payer (Claims, Pharmacy, Membership, Enrollment, Provider, Billing, Premium) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains. - Experience with schema evolution, lossless data modeling, and data versioning strategies. - Strong background in SQL, performance tuning, and query optimization for large-scale datasets. - Hands-on experience with data engineering workflows, including data pipeline integration, ELT/ETL optimizations, and data transformation frameworks. - Ability to mentor junior modelers, enforce modeling best practices, and drive adoption of enterprise data standards. - Excellent collaboration skills to work with data architects, engineers, and client implementation teams. Requirements - Experience with OBT, data Lakehouse, and metadata management frameworks. - Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses. - Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access. - Experience with data governance, security, and regulatory compliance in healthcare data management. Benefits - Unlimited paid time off – recharge when you need it - Work from anywhere – flexibility to fit your life - Comprehensive health coverage – multiple plan options to choose from - Equity for every employee – share in our success - Growth-focused environment – your development matters here - Home office setup allowance – one-time support to get you started - Monthly cell phone allowance – stay connected with ease Our Commitment as an Equal Opportunity Employer As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.