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Health Data SME, EHR Systems

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Chickasaw Nation Industries, Inc.
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 135000 - 210000 USD Yearly USD 135000.00 210000.00 YEAR
Job Description & How to Apply Below
The Data Analyst V helps lead operations and drives strategic data analytics projects to provide critical information and insights to senior management for decision-making or solution development. Establishes and enforces enterprise-wide data standards and deploys advanced automation tools to extract, synthesize, and validate complex and diverse data from multiple sources. Designs and manages large-scale databases, monitors and ensures the highest levels of data quality, troubleshoots complex database issues to maintain impeccable data integrity.

Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Business Services, Health, Infrastructure and Engineering, Mission Optimization, Technology and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people.

CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental – Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays.

As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act..ESSENTIAL REQUIREMENTS Must be able to obtain and maintain the required customer clearance for access to systems, facilities, equipment and property.

Must possess appropriate level of certifications for this position as required by the contract.

ESSENTIAL DUTIES AND RESPONSIBILITIES Essential Duties and responsibilities include the following. Other duties may be assigned.

Provides subject matter expertise in health data development and EHR systems.

Supports electronic health record modernization and interoperability for Tribal Nations.

Advises on integration with existing EHR systems and Health IT Modernization Programs.

Develops actionable plans for Tribe-specific administrative data, including agreements, linkage, quality measures, and IT infrastructure.

Offers technical assistance and analytic resources for Tribal Nations’ health system performance measurement.

Evaluates readiness for inclusion in Tribal-HCUP and identifies gaps in data infrastructure.

Recommends improvements in data quality, interoperability, and access.

Supports the use of artificial intelligence in data infrastructure and analytics.

Ensures compliance with privacy, security, and Tribal authorization requirements.

Architects and directs the company-wide data analytics vision, aligning with strategic business objectives and fostering a competitive edge.

Leads the innovation and transformation of the analytics function, integrating big data technologies and pioneering analytical methodologies.

Acts as a subject matter expert in data analysis, representing the analytics department in high-level strategic meetings and presentations.

Partners with executive leadership to define and steer major strategic initiatives based on data-driven insights.

Oversees the establishment of an integrated, enterprise-wide analytics framework, ensuring streamlined data access and utilization.

Provides thought leadership in the field, influencing industry best practices and leading sophisticated analytical discourses.

Cultivates and leads a high-performing analytics team, orchestrating talent development, retention, and succession planning.

Utilizes advanced scripting and querying tools like Python, R, or SQL, as well as statistical methods, machine learning algorithms, and…
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