Director, Data Quality

Burlington, United States of America | Full time | Hybrid | R1548684

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. We invest deeply in our people through ongoing training, comprehensive benefits, and a strong culture of teamwork, offering 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. While this may be an appealing career move for you, we will only consider candidates who can show significant data quality experience in data ecosystems beyond just QA engineering or software QA, and with experience designing and deploying AI agents and agentic workflows at an enterprise level.

In this role you will ensure healthcare data is accurate, complete, timely, and fit for operational, regulatory, and analytical use. You will provide leadership across data quality management, governance, reporting integrity, data stewardship, and process improvement. As Director you will partner closely with cross-functional leaders to ensure trusted data supports value-based outcomes, regulatory reporting, and strategic decision-making.

In addition, this role serves as a Subject Matter Expert in Agentic AI frameworks and AI-driven data quality capabilities, responsible for advancing the organization’s use of automation and AI to scale and modernize 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…