Data Science Director Jobs in North Carolina
Data Science Director jobs in North Carolina are open across Charlotte, Durham, and Raleigh and other North Carolina metros, with employers like IQVIA, Alvarez & Marsal, and Cognizant hiring at every experience level. Find a role that fits below and apply directly.
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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. 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.
Position Summary
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.
Roles & Responsibilities
Data Quality Strategy & Leadership
- 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
AI Agents & Agentic Frameworks
- 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
Data Quality Operations
- 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
Cross-Functional Collaboration
- 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
Team Leadership & Development
- 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
Job Location
Burlington, MA (Boston)
Work Arrangement
Hybrid (3 days in office, 2 remote)
Experience / 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
- To be eligible for this position, you must reside in the same country where the job is located.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $110,200.00 - $307,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
See All 9 Data Science Director Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Data Science Director JobsData Science Director Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Data Science Director Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
- IQVIA2

- Alvarez & Marsal1

- Cognizant1

- Grifols1

- Labcorp1

Top Industries Hiring
- Consulting & Professional Services4
- Biotechnology & Pharmaceuticals2
- Education1
- Healthcare & Medical Services1
- Insurance1
What North Carolina Employers Look For
The qualifications that appear most often in data science director jobs across North Carolina.
- 7 to 10 years of experience in data science with at least 3 in a people management role
- Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn or PyTorch
- Experience building and deploying production-grade ML models in cloud environments like AWS, GCP, or Azure
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
- Demonstrated ability to translate business problems into data science roadmaps and communicate findings to executives
- Familiarity with MLOps practices, model monitoring, and data pipeline tools such as Airflow or Databricks
Data Science Director Jobs in North Carolina: Frequently Asked Questions
How many data science director jobs are there in North Carolina?
There are 9+ data science director openings in North Carolina on Migrate Mate as of June 2026, with the most roles in Charlotte, Durham, and Raleigh. New positions post regularly as employers across North Carolina hire.
How much do data science directors make in North Carolina?
Data science directors in North Carolina earn a median of about $119,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,970 for the lowest 10% to over $172,830 for the top 10%. Pay rises with experience, specialty, and employer.
Which North Carolina cities have the most data science director jobs?
Charlotte, Durham, and Raleigh have the most data science director openings in North Carolina right now, with additional roles spread across smaller metros statewide.
Which companies hire data science directors in North Carolina?
Employers hiring data science directors in North Carolina include IQVIA, Alvarez & Marsal, and Cognizant, based on current listings on Migrate Mate as of June 2026.
Are there remote data science director jobs in North Carolina?
Yes. About 78% of data science director openings tied to North Carolina are remote or hybrid as of June 2026. The rest are on-site roles based in North Carolina metros.
How do I apply for data science director jobs in North Carolina?
You can apply to data science director jobs in North Carolina directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred North Carolina location, then apply to each one that fits.
See All 9 Data Science Director Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Data Science Director Jobs