Director, Data Quality

About Cedar Gate Technologies

Cedar Gate Technologies, an IQVIA business, enables payers, providers, employers, and service administrators to excel at value-based care with a unified technology and services platform delivering analytics, care, and payment technology on a single data management foundation. At Cedar Gate, you’ll be part of a collaborative, innovative environment where great ideas thrive and you’ll have the chance to grow your skills while contributing to high impact initiatives for some of the world’s most dynamic companies.

Cedar Gate Technologies, an IQVIA business, is hiring a Director of Data Quality to lead data quality strategies within a complex healthcare data environment, and to modernize data quality processes using Agentic AI and intelligent automation. Applicants must show significant data quality experience beyond QA engineering, with experience designing and deploying AI agents and agentic workflows at enterprise level. The role ensures healthcare data is accurate, complete, timely, and fit for operational, regulatory, and analytical use while providing leadership across data quality management, governance, reporting integrity, data stewardship, and process improvement.

The Director also serves as a Subject Matter Expert in Agentic AI frameworks and AI‑driven data quality capabilities, advancing automation and AI usage to scale data quality operations.

• 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, including data profiling, anomaly detection, validation, monitoring, root‑cause analysis, and automated issue triage and remediation recommendations
• Define and operationalize AI use cases within the Data Quality framework, ensuring alignment with business priorities, regulatory requirements, and enterprise risk standards
• Establish and enforce governance standards for AI-driven data quality processes, including human oversight, explainability, and auditability, ensuring responsible and compliant AI adoption
• 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
• Embed data quality controls into data pipelines, platforms, and reporting environments
• 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

Burlington, MA (Boston)

Hybrid (3 days in office, 2 remote)

• 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…