Manager-Payer MDM

Key Responsibilities:  

• Own and drive the Payer MDM roadmap in partnership with Product Owners and business stakeholders, aligning priorities, timelines, and measurable outcomes. 

• Lead data governance for payer/plan/PBM domains, including definition and adoption of standards, policies, metadata, controls, and stewardship KPIs. 

• Provide people leadership to analysts/stewards (coaching, workload planning, quality reviews, and capability building) and foster a culture of accountability and continuous improvement. 

• Oversee curation and exception-handling operations, ensuring SLAs, escalations, auditability, and consistent stewardship practices across teams. 

• Own the MDM data stewardship operating model (roles/responsibilities, workflows, controls, and escalation paths) and ensure alignment across regions and functions. 

• Define, monitor, and improve data quality metrics (completeness, accuracy, timeliness, duplication) using dashboards, thresholds, root-cause analysis, and remediation plans. 

• Lead configuration and continuous improvement of Reltio (data model, match/merge, survivorship, hierarchies, validation, workflows) and translate business requirements into scalable MDM solutions. 

• Drive cross-functional alignment on payer business rules, hierarchy management, and golden record definitions; ensure consistent implementation across source systems and downstream products. 

• Manage stakeholder engagement and vendor/partner relationships to resolve data discrepancies, drive adoption, and maintain adherence to quality and compliance expectations. 

• Establish and strengthen monitoring/alerting and operational controls (DQ checks, reconciliations, audit trails) to ensure trusted mastered data delivery. 

• Identify operational bottlenecks and implement process improvements and automation (including GenAI/agentic patterns where appropriate) to increase efficiency and reduce cycle time. 

• Oversee data profiling and analysis (e.g., SQL/Snowflake) to support onboarding of new sources, control duplicate creation, and drive root-cause remediation with upstream owners. 

• Govern payer/plan/PBM attribute definitions and reference data, and ensure hierarchy integrity and transformations meet business and analytics needs. 

• Ensure reliable service to downstream consumers by managing release readiness, change communication, documentation, and production support for mastered payer data products. 

Essential Requirements:  

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

• 7–10 years of experience in Master Data Management and/or data governance, with demonstrated ownership of MDM delivery and operational outcomes (data modeling, match/merge, survivorship, hierarchies, stewardship workflows). 

• Strong hands-on data analysis and profiling skills using SQL (preferably on Snowflake) to assess source readiness, define controls, troubleshoot issues, and drive root-cause remediation. 

• Strong domain knowledge of US payer/plan/PBM concepts and common healthcare data constructs; ability to translate domain needs into golden record definitions and business rules. 

• Experience applying automation and AI/GenAI capabilities to data operations (e.g., stewardship support, issue triage, monitoring, matching/curation acceleration) with strong judgment on risk, controls, and compliance. 

• Working knowledge of data engineering patterns (ELT/ETL) and toolsets (e.g., Snowflake, Python, orchestration such as Airflow/ADF) to partner effectively with engineering and influence design decisions. 

• Proven ability to lead through ambiguity with strong problem-solving, prioritization, and an automation-first mindset; experience establishing SLAs, controls, and operational metrics. 

• People leadership experience (direct or matrix), including coaching, performance feedback, and delivery management across multi-disciplinary teams. 

• Excellent stakeholder management and communication skills, including the ability to influence decisions, present insights to senior audiences, and drive cross-functional alignment. 

• Experience managing external vendors/partners and driving change management for new data standards, processes, and platform enhancements. 

• Strong program/project management skills to manage multiple workstreams, dependencies, and deadlines while maintaining delivery quality.