Senior Analyst - Payer MDM

Key Responsibilities:  

• Support Payer MDM strategy and ensure alignment with business priorities and stakeholder expectations. 

• Assist in establishing governance, standards, and best practices across payer, plan, PBM, HUB, SP, and claims data domains. 

• Participate in reviewing deliverables, supporting team processes, and contributing to a culture of accountability and continuous improvement. 

• Work with stewardship teams to manage curation workflows, exception handling, and data quality processes. 

• Support establishment of MDM data stewardship operating model, including stewardship roles/responsibilities, workflows, and escalation paths. 

• Define, implement, and monitor data quality rules, thresholds, dashboards, and remediation workflows to improve payer master data accuracy, completeness, and consistency. 

• Partner with product and technical teams to configure and maintain Reltio for Payer MDM (data model, match/merge rules, survivorship, hierarchies, validation, and workflows) aligned to business requirements. 

• Translate payer business rules into standardized operational logic and ensure consistency across stakeholders. 

• Collaborate with SMEs and external vendors to resolve data discrepancies and maintain adherence to quality expectations. 

• Assist in strengthening data quality frameworks, monitoring, validation, and alerting mechanisms. 

• Contribute to process optimization, operational efficiency, and proactive issue identification. 

• Perform data profiling, completeness checks, and root‑cause analysis to support remediation efforts. 

• Analyze payer/plan/PBM attributes to support matching logic, hierarchy validation, and transformation requirements. 

• Ensure reliable support for downstream data consumers by maintaining consistency in mastered data delivery and stewardship practices. 

Essential Requirements:  

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field. 

• 4-6 years of hands-on experience with Master Data Management (MDM) platforms and concepts (e.g., data modeling, match/merge, survivorship, hierarchies, stewardship workflows). 

• Must have strong data profiling skills using SQL on Snowflake to analyze source data, identify anomalies, and support data quality and mastering requirements. 

• Good understanding of payer/plan/PBM concepts. 

• Understanding and practical experience with Agentic AI and Generative AI, and ability to leverage them in MDM initiatives (e.g., stewardship support, data quality monitoring, matching/curation acceleration, and operational automation). 

• ELT/ETL development experience is good to have. Snowflake, SQL, Python, and orchestration tools are good to have (Airflow, ADF, etc.).