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Ai Data Analytics Jobs in Georgia (NOW HIRING)

ServiceNow

Solution Architect - AI & Data

Atlanta, GA · On-site

$60.50 - $79.75/hr

Define AI-enabled target operating models, including process redesign, workforce impact analysis ... Data Architecture & Catalog Strategy * Lead the architectural design of enterprise data catalog ...

ServiceNow

Solution Architect - AI & Data

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

Define AI-enabled target operating models, including process redesign, workforce impact analysis ... Data Architecture & Catalog Strategy * Lead the architectural design of enterprise data catalog ...

McKesson

Manager, Data Analytics

Atlanta, GA · On-site

Help shape our AI strategy by identifying where AI and machine learning can add real value, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

MCKESSON

Manager, Data Analytics

Atlanta, GA

Help shape our AI strategy by identifying where AI and machine learning can add real value, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

McKesson

Manager, Data Analytics

Atlanta, GA

Help shape our AI strategy by identifying where AI and machine learning can add real value, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

Tier4 Group

Banking Data & Analytics SME

Atlanta, GA

Ensure data models and reporting platforms support current business needs and future AI-driven capabilities. Required Qualifications 12+ years of experience in Business Analysis, Product Ownership ...

New

JLL

Manager, Data Analytics- Industrial

Atlanta, GA · On-site

Own the data infrastructure and analytical output that power the National Industrial platform ... AI-enabled automation and scale * Identify repetitive analytical work and design AI-enabled ...

Deloitte

Senior Manager Data Lead

Atlanta, GA · Hybrid

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Deloitte's Healthcare Consulting practice is one of the largest ...

Deloitte

Senior Manager Data Lead

Atlanta, GA · On-site

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Deloitte's Healthcare Consulting practice is one of the largest ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Georgia

Ai Data Analytics information

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How much do ai data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai data analytics in Georgia is $46.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $52.36 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What are popular job titles related to Ai Data Analytics jobs in Georgia?

For Ai Data Analytics jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Georgia look for?

The top searched job categories for Ai Data Analytics jobs in Georgia are:

What cities in Georgia are hiring for Ai Data Analytics jobs?

Cities in Georgia with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.

AI and Data Solutions Manager

Murata Americas

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

For 80 years, Murata Electronics has been a tireless innovator, committed to developing technologies that profoundly change the world around us. Our solutions are inside more state-of-the-art products than you may imagine. Additionally, we enable other global companies to turn their visions into reality - from mobile communications to computers and networking, medical devices to power solutions, smart home technologies to automotive electronics. Our past innovations drive today's technology - and our present innovations are shaping tomorrow's.
Whatever the future holds, you can be sure that Murata will be a part of it.
Why Consider This Job Opportunity
The AI and Data Solutions Manager leads the delivery, enablement, and continuous improvement of enterprise AI, machine learning (ML), and data solutions. This role partners with IT leadership, business stakeholders, and technical teams to identify high-value opportunities and deliver scalable solutions that improve operational efficiency, user adoption, and measurable business outcomes.
This is a hands-on technical leadership role that combines solution development, project coordination, data platform knowledge, and organizational enablement. The ideal candidate has practical experience building and deploying production AI/ML solutions, working with enterprise data platforms and cloud technologies, and translating business needs into secure, supportable, adoption-ready solutions.
Workplace Policy
Hybrid from Atlanta, GA or Carrollton, TX
What To Expect (Essential Job Responsibilities)
  • Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution initiatives across the organization.
  • Design, develop, test, deploy, and support practical AI/ML solutions, including prototypes, pilots, and production-ready applications that deliver business value.
  • Partner with business stakeholders to identify opportunities, define use cases, document requirements, and translate business needs into actionable solution plans.
  • Monitor solution performance, adoption, and business impact, identifying opportunities for continuous improvement.
  • Collaborate with IT leadership, data teams, application teams, security, and global partners to align solutions with enterprise architecture, data governance, and security standards.
  • Contribute to the development and governance of enterprise AI and data practices, including standards, guardrails, responsible AI practices, documentation, and lifecycle management.
  • Promote adoption of approved AI and data platforms through training support, use-case development, stakeholder communication, and practical user guidance.
  • Evaluate and recommend tools, platforms, architectures, and integration approaches that align with business requirements and enterprise standards.
  • Support organizational AI, data solution roadmaps, implement plans and delivery timelines in partnership with IT leadership and Business Team leadership.

Miscellaneous Job Responsibilities
  • Provide mentorship and knowledge sharing to internal team members to strengthen AI, machine learning, data platform, and solution delivery capabilities.
  • Stay current on emerging AI, automation, cloud, and data platform capabilities, recommending practical applications where they may create business value.
  • Assist with troubleshooting, issue resolution, enhancement requests, and post-implementation support for approved AI and data solutions.
  • Support special projects, department initiatives, and other duties as assigned.

What Is Required (Qualifications)
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Artificial Intelligence, Engineering, or a related technical field.
  • 5+ years of experience designing, developing, and deploying production-grade AI/ML applications, predictive models, and intelligent automation solutions using Python, including integration with LLMs, APIs, and MCP enabled tools or services.
  • 3+ years of hands-on experience or technical leadership in data engineering, including designing and operating utilizing AWS, Snowflake, and SQL based data services to support analytics and AI/ML workloads.
  • Experience working within enterprise standards for security, data governance, access controls, auditability, and responsible technology use.
  • Experience leading or coordinating cross-functional technical initiatives from requirements gathering through implementation, adoption, and ongoing support.
  • Ability to work independently, manage competing priorities, and deliver high-quality work in a collaborative environment.
  • Strong analytical, problem-solving, documentation, communication, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders.

How To Stand Out (Preferred Qualifications)
  • Master's degree or professional certification in related technology, analytics, cloud, or AI discipline.
  • Experience leading development teams, cross-functional project teams, or technology initiatives.
  • Experience with designing and developing Agentic AI applications.
  • Experience with Microsoft Azure, Copilot Studio, Power Platform, or Microsoft 365 AI enablement capabilities.
  • Experience with AWS SageMaker, Amazon Bedrock, MLOps practices, and APIs.
  • Experience supporting AI adoption and organizational enablement programs.
  • Familiarity with AI governance, responsible AI practices, data governance, and solution lifecycle management.
  • Experience in electronics manufacturing, sales and business development, business operations, digital experience, supply chain, or related industry domains.

Perks
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Imagine the possibilities as a member of Murata's innovative global team.
Be an innovator - Join Murata!
Murata offers competitive compensation and comprehensive benefits.
Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans
Additional Position Information:

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