Director of Data Quality and Operations

Who We Are Claritas Rx uses AI and predictive modeling to help rare disease and specialty brands remove the barriers that keep patients from accessing and staying on the treatments they need. By uniting the most complete view of the patient journey with purpose-built technologies, we predict and resolve access challenges before they disrupt care, combining advanced analytics, real-world data, AI, and CRM capabilities to increase start and refill rates, reduce abandonment, and improve brand performance. Our mission is to ensure patients with chronic, life-threatening diseases receive the support that enables the greatest benefit from their therapy. Simply put, our promise is progress for every patient journey. This is the opportunity to help shape a first‑in‑industry digital health solution alongside a team of mission‑driven professionals. We were named one of Inc.'s Best Workplaces in 2025 and recognized on the 2025 Inc. 5000 list, and our team genuinely respects and supports each other. We thrive on being fast‑paced, innovative, and results‑driven, and our employees enjoy a flexible, collaborative work environment, unlimited PTO, stock options, and a growing set of tools and technology to drive innovation for our customers. The Position The Director of Data Quality and Operations oversees the strategic vision, design, and delivery of data quality programs at Claritas Rx, ensuring operational excellence, regulatory compliance, and superior transparency for customers. This leader manages and mentors a global team of data operations professionals and champions best‑in‑class, scalable quality processes to position Claritas Rx as an industry leader in data trustworthiness and value. Key Accountabilities Strategic Data Quality Leadership Architect and execute the enterprise‑wide data quality strategy, including end‑to‑end profiling, validation, and continuous improvement across all aggregated sources. Champion data transparency and create detailed customer‑facing reports, delivering consultative insights to maximize value. Oversee the design and implementation of comprehensive data quality frameworks, SOPs, and automated tools for both real‑time and longitudinal assessments of specialty pharmacy and pharmaceutical/biotech data. Collaborate with Product, Customer Success, and Engineering teams to build out and scale Data Quality operations in alignment with customer needs and product strategy. Team and Operational Management Lead, mentor, and develop a team of onshore and offshore data operations specialists—including hiring, training, performance feedback, and capacity/resource planning. Foster a community of practice to promote process consistency, knowledge sharing, and deep understanding of customer use cases. Develop and maintain program‑specific SOPs, driving standardization, timely issue resolution, and adherence to documented best practices. Process Optimization and Standardization Drive operational excellence and efficiency by evaluating, integrating, and advancing scalable automation technologies and methodologies. Partner closely with Customer Success and internal teams to align operations with customer requirements and business objectives. Oversee identification, impact assessment, mitigation, and root cause analysis for data quality incidents, with direct oversight of quality monitoring, triage, escalation, and remediation. Lead regular data audits, automated discrepancy monitoring, and response measures in line with regulatory standards (HIPAA, HITECH, GDPR, SOC2). Innovation and Compliance Evaluate and recommend new data management and analytics solutions to advance data quality and business impact. Monitor industry and regulatory changes, guiding process adaptation for GxP, patient privacy, and data integrity requirements. Promote a data‑driven organizational culture through education, documentation, and best practice sharing. Key Performance Indicators Customer Satisfaction (including data quality transparency and consultative support) Platform Data Quality Scores and Error Rate Reduction Reduction of Mean Time to Resolution (MTTR) for Data Errors Software Gross Margins Effectiveness of Global Team Collaboration and Operations Who You Are Qualifications Required: 8+ years' experience overseeing data quality, data operations, or analytics in pharma/biotech, healthcare, or health tech data management, including global/offshore team leadership. Deep understanding of data profiling, validation, and data quality frameworks, ideally with experience as a data aggregator or in data operations with a manufacturer. Experience building scalable operational functions, process automation, and data standards. Strong communication, quantitative, and analytical skills; track record of customer relationship and trust building. Preferred Advanced degree (MBA, MS/PhD in Informatics, Biostatistics, Operations Research, Computer Science or related fields). Familiarity with specialty pharmacy, Hub, co‑pay, and complex … #J-18808-Ljbffr Claritas Rx