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Artificial Intelligence Analyst Jobs in Georgia (NOW HIRING)

Artificial Intelligence Intern

Atlanta, GA ยท On-site

$14.25 - $19/hr

... data analytics and software, and tech-enabled profit recovery services. We provide software and ... artificial intelligence. ยท Communicate complex data insights and findings to non-technical ...

New

Artificial Intelligence Intern

Atlanta, GA ยท On-site

$14.25 - $19/hr

... data analytics and software, and tech-enabled profit recovery services. We provide software and ... artificial intelligence. ยท Communicate complex data insights and findings to non-technical ...

New

Artificial Intelligence Engineer

Alpharetta, GA ยท On-site

$108K - $130K/yr

Job Summary : eTeam is a company seeking an Artificial Intelligence Engineer to design, build, and ... analysis, and problem-solving, along with effective cross-functional communication skills.

Amentum is seeking an IMINT Analyst Expert for CONUS locations contingent upon award. Essential ... Artificial Intelligence (AI) Literacy #javelin Amentum is proud to be an Equal Opportunity Employer.

Amentum is seeking an IMINT Analyst Expert for CONUS locations contingent upon award. Essential ... Artificial Intelligence (AI) Literacy #javelin Amentum is proud to be an Equal Opportunity Employer.

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Artificial Intelligence Analyst information

See Georgia salary details

$34.6K

$84.5K

$130.5K

How much do artificial intelligence analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for artificial intelligence analyst in Georgia is $84,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $101,700.00 per year, depending on experience, location, and employer.

What does an artificial intelligence analyst do?

An Artificial Intelligence Analyst evaluates AI technologies, analyzes data trends, and helps develop AI-driven solutions for businesses. They work with machine learning models, data sets, and automation tools to optimize processes and improve decision-making. Their role often involves collaborating with data scientists, engineers, and business teams to implement AI strategies.

What does a typical workday look like for an artificial intelligence analyst?

A typical workday for an Artificial Intelligence Analyst involves collecting and preparing datasets, developing and testing machine learning models, and analyzing results to improve accuracy and performance. You may collaborate closely with data scientists, engineers, and business stakeholders to align AI initiatives with organizational goals. Additionally, frequent meetings to discuss findings, present data-driven insights, and refine strategies are common. Balancing technical tasks with effective communication ensures that AI solutions are both actionable and valuable to the company.

What are the key skills and qualifications needed to thrive as an artificial intelligence analyst?

An Artificial Intelligence Analyst typically requires a strong background in computer science, mathematics, and statistics, often supported by a relevant degree or certification. Familiarity with programming languages such as Python or R, experience with machine learning frameworks like TensorFlow or PyTorch, and proficiency in data visualization tools are commonly expected. Strong analytical thinking, problem-solving abilities, and effective communication skills set exceptional candidates apart. These skills ensure the analyst can develop, interpret, and clearly explain complex AI models to drive real-world business solutions.

How can I become an artificial intelligence analyst?

To become an artificial intelligence analyst, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong programming skills in languages like Python or R. Gaining experience with machine learning frameworks, data analysis, and statistical methods is essential, and earning certifications in AI or data science can enhance your qualifications. Developing a solid understanding of algorithms, data management, and problem-solving skills is also important for success in this role.

What are the most commonly searched types of Artificial Intelligence Analyst jobs in Georgia?

The most popular types of Artificial Intelligence Analyst jobs in Georgia are:

What job categories do people searching Artificial Intelligence Analyst jobs in Georgia look for?

The top searched job categories for Artificial Intelligence Analyst jobs in Georgia are:

What cities in Georgia are hiring for Artificial Intelligence Analyst jobs?

Cities in Georgia with the most Artificial Intelligence Analyst job openings:

Infographic showing various Artificial Intelligence Analyst job openings in Georgia as of August 2026, with employment types broken down into 58% Full Time, 25% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $84,488 per year, or $40.6 per hour.

Director, Enterprise Data & Artificial Intelligence

CRH Medical Corporation

Atlanta, GA โ€ข On-site

$160K/yr

Full-time

Posted 29 days ago


Key responsibilities

  • Develop and execute CRH's enterprise data and analytics strategy.

  • Design and maintain executive dashboards and enterprise scorecards.

  • Lead CRH's responsible adoption of Artificial Intelligence technologies.


Job description

Description
POSITION SUMMARY
The Director, Enterprise Data & Artificial Intelligence serves as CRH Medical Corporation's strategic leader for enterprise data, business intelligence, analytics, and artificial intelligence. This role is responsible for developing and executing an enterprise-wide data strategy that transforms information into actionable insights, enables data-driven decision making, and leverages AI to improve operational efficiency, workforce productivity, and business performance across all CRH business segments.
The Director will establish a single source of truth for enterprise reporting, oversee data governance, develop predictive analytics, and identify opportunities to automate processes through responsible AI technologies. This position partners closely with Executive Leadership and functional leaders across HR, Finance, Operations, Recruiting, Credentialing, Provider Services, Marketing, Revenue Cycle, Compliance, and Information Technology. This role is instrumental in supporting CRH's continued growth by transforming enterprise data into a strategic business asset. Position reports directly to CFO.
MINIMUM JOB REQUIREMENTS
Education & Qualifications:
Education: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Engineering, or a related field. Master's degree preferred
Licensure & Certifications: N/A
Previous Experience: Eight (8) or more years of progressive experience in business intelligence, analytics, data management, or enterprise reporting. Five (5) or more years leading enterprise analytics initiatives. Experience implementing AI solutions and business intelligence platforms. Demonstrated success developing executive dashboards and enterprise reporting sourced from independent and diverse software systems.
Experience managing enterprise data governance initiatives. Healthcare industry experience highly preferred.
Skills: Exceptional analytical, strategic, and critical thinking skills with the ability to transform complex data into actionable business insights. Strong business, financial, and operational acumen with expertise in business intelligence, data governance, predictive analytics, and artificial intelligence. Proven ability to influence leaders, build collaborative relationships, and communicate complex information to technical and non-technical audiences. Demonstrated success managing multiple priorities, driving innovation, implementing data-driven solutions, and exercising sound judgment in a fast-paced, evolving environment.
Technical Skills: Advanced proficiency in Microsoft Power BI, Microsoft Fabric, SQL, Python, Azure Data Services, Microsoft Copilot, Power Automate, and Power Apps. Strong expertise in data warehousing, ETL (Extract, Transform, and Load) processes, enterprise reporting, dashboard development, data visualization, predictive analytics, and machine learning fundamentals. Advanced Microsoft Excel skills with the ability to integrate, analyze, and interpret complex datasets while developing scalable reporting solutions that support enterprise-wide decision-making and responsible AI initiatives.
Travel: Ability to travel throughout the U.S. and Canada
JOB SPECIFIC EXPECTATIONS
Enterprise Data Strategy
  • Develop and execute CRH's enterprise data and analytics strategy aligned with corporate objectives.
  • Establish enterprise data governance standards, policies, and best practices.
  • Ensure data quality, integrity, consistency, security, and accessibility across all business functions.
  • Develop enterprise data architecture supporting scalable business growth.

Business Intelligence & Analytics
  • Design and maintain executive dashboards and enterprise scorecards.
  • Develop standardized organizational KPIs and reporting metrics.
  • Build predictive and prescriptive analytics supporting strategic planning.
  • Deliver meaningful business insights through advanced analytics and visualization tools.
  • Identify operational trends, risks, and growth opportunities through enterprise data analysis.

Artificial Intelligence Leadership
  • Lead CRH's responsible adoption of Artificial Intelligence technologies.
  • Evaluate emerging AI solutions that improve operational effectiveness.
  • Identify automation opportunities across administrative, operational, and clinical support functions.
  • Develop AI governance standards and implementation guidelines.
  • Partner with department leaders to integrate AI into existing workflows while ensuring regulatory compliance.

Enterprise Reporting
  • Develop and maintain an integrated enterprise reporting environment that consolidates data across Human Resources, Finance, Revenue Cycle, Credentialing, Recruitment, Marketing, Compliance, CRH Clinical Operations, CRH Staffing, CRH GI Solutions and Executive Leadership.
  • Develop executive dashboards providing real-time organizational performance.
  • Automate recurring reports to improve efficiency and decision-making.

Technology & Systems Integration
  • Partner with our MSP to integrate enterprise systems and databases.
  • Assist with building, maintaining, and continuously improving bi-directional API systems for speed, reliability, and quality.
  • Develop scalable data models and reporting architecture.
  • Optimize business intelligence platforms and reporting tools.
  • Evaluate emerging analytics and AI technologies supporting organizational growth.

Leadership & Collaboration
  • Serve as the organization's enterprise analytics subject matter expert.
  • Provide ultimate ownership of enterprise data quality and data integrity.
  • Present data-driven recommendations to Executive Leadership/Divisional Leaders .
  • Educate leaders on analytics, AI capabilities, and data-informed decision making.
  • Foster a culture of innovation, continuous improvement, and data literacy across the organization.
  • Travel as needed.
  • Other duties as assigned.