Director, Data Quality

About the role

Cedar Gate Technologies, an IQVIA business, is seeking a Director of Data Quality to lead data quality strategies within a complex healthcare data environment. The ideal candidate should demonstrate significant data quality experience beyond QA engineering or software QA, and experience designing and deploying AI agents and agentic workflows at an enterprise level.

Responsibilities

• Develop and lead the enterprise-wide Data Quality strategy aligned to business goals and regulatory requirements
• Establish data quality standards, policies, and operating models
• Define and monitor key dimensions including accuracy, completeness, consistency, timeliness, and integrity
• Implement data quality scorecards, dashboards, and executive reporting
• Serve as the enterprise leader for data quality practices
• Serve as a Subject Matter Expert in Agentic AI frameworks and AI agents, leading the design and implementation of AI-enabled data quality capabilities across the enterprise
• Partner with Data Engineering, AI/ML, and Architecture teams to deploy scalable, production-grade AI-enabled data quality solutions across data platforms and pipelines
• Lead teams responsible for identifying, prioritizing, and resolving data quality issues
• Establish repeatable processes for profiling, root cause analysis, and remediation tracking
• Leverage automation and AI to reduce manual effort and improve efficiency
• Drive continuous improvement initiatives across data quality processes
• Partner with leaders across Operations, Clinical, Compliance, IT, Analytics, and Product
• Translate business needs into data quality requirements and AI-driven solutions
• Drive alignment on data ownership, definitions, and governance practices
• Communicate complex data and AI concepts to executive and non-technical stakeholders
• Lead and develop a high-performing team across data quality, governance, and data operations
• Establish performance metrics, goals, and career development plans
• Build capabilities in AI-enabled data quality, automation, and modern data management practices

Qualifications

• 10+ years of experience in data quality, data management, data governance, and data operations
• 5+ years of leadership experience managing teams or enterprise data initiatives
• Hands-on experience with AI agents, agentic frameworks, or AI-enabled automation
• Experience implementing agentic workflows or intelligent automation
• Demonstrated experience implementing data quality frameworks, controls, and monitoring capabilities
• Bachelor’s degree in relevant fields such as Data Management, Computer Science, Healthcare Administration, or Analytics. Master’s degree preferred
• Experience applying AI to data quality processes such as monitoring, anomaly detection, or remediation for enterprise data operations is highly preferred
• Experience working with data pipelines, data platforms, or analytics ecosystems
• Experience in healthcare payer, healthcare provider, or healthcare technology organizations is preferred
• Knowledge of healthcare standards (FHIR, HL7, HEDIS, ICD, etc.) will enhance your candidacy
• Experience with data governance tools, data quality platforms, or data catalogs will help you be successful in the position
• Familiarity with responsible AI practices and AI governance frameworks will reduce your learning curve