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Remote Master Data Management Jobs in Atlanta, GA

The Director, Provider Operations builds, scales and optimizes Oscar's provider data management ... This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully ...

The Director, Provider Operations builds, scales and optimizes Oscar\'s provider data management ... This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully ...

The Director, Provider Operations builds, scales and optimizes Oscar's provider data management ... This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully ...

Selling data quality, Master Data Management (MDM), or address verification solutions * Experience in Identity Verification (IDV), fraud prevention, or risk solutions * Industry experience in ...

Power BI Publisher

Atlanta, GA · Remote

$49.25 - $67.25/hr

Atlanta, GA 30308 - Remote Duration: Long Term Local candidates preferred but 100% remote is ... Knowledge of current and emerging data management and analytics technologies. * Ability to handle ...

Palantir Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Remote Work: Yes Job Number: R0245959 Location: Atlanta,GA,US Share job via: Share Palantir Data ... Import, integrate, clean, standardize, and manage data from multiple structured and unstructured ...

Be Seen First

... data management and reporting. 10. Be capable of working independently, managing tasks, and meeting deadlines with minimal supervision. Credentialing experience would be a plus. Company Description ...

Showing results 41-60

Remote Master Data Management information

See Atlanta, GA salary details

$18

$42

$73

How much do remote master data management jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote master data management in Atlanta, GA is $42.65, according to ZipRecruiter salary data. Most workers in this role earn between $29.38 and $53.17 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote master data management professionals, and how can they be addressed?

Remote Master Data Management (MDM) professionals often encounter challenges such as ensuring data consistency across multiple systems, coordinating with geographically dispersed teams, and maintaining data security. Effective communication and collaboration tools are essential for aligning with stakeholders and IT teams. Establishing clear data governance policies and regular virtual meetings can help address inconsistencies and streamline workflows. Additionally, using secure remote access solutions and adhering to best practices in data privacy ensures data integrity and compliance.

What are the key skills and qualifications needed to thrive as a remote master data management professional, and why are they important?

To thrive as a Remote Master Data Management professional, you need expertise in data governance, data quality, and master data modeling, often supported by a degree in information systems or a related field. Familiarity with MDM platforms like Informatica, SAP MDG, or Oracle, as well as knowledge of data integration tools and data security standards, is typically required. Strong analytical thinking, communication skills, and attention to detail are essential soft skills for collaborating across departments and ensuring data consistency. These competencies are crucial for maintaining accurate, reliable data assets that drive business decisions and operational efficiency.

What is a remote master data management professional?

A Remote Master Data Management (MDM) professional is responsible for overseeing and maintaining an organization's critical data assets from a remote location. They ensure the accuracy, consistency, and security of master data—such as customer, product, and supplier information—across different systems and departments. By implementing data governance policies and collaborating with various teams, they help organizations make better business decisions and comply with data regulations. Remote MDM professionals use specialized tools and processes to manage data integrity while working outside of a traditional office environment.

What is the difference between Remote Master Data Management vs Remote Data Analyst?

AspectRemote Master Data ManagementRemote Data Analyst
CredentialsTypically requires data management certifications, SQL, and database knowledgeRequires data analysis, Excel, SQL, and visualization skills
Work EnvironmentFocuses on data governance, quality, and integration within organizationsAnalyzes data to generate insights, reports, and support decision-making
Industry UsageCommon in IT, finance, healthcare, and large enterprisesWidely used across marketing, finance, healthcare, and consulting

Remote Master Data Management professionals focus on maintaining accurate, consistent, and reliable data across systems, while Remote Data Analysts interpret data to inform business decisions. Both roles require strong technical skills but serve different functions within organizations.

What are the most commonly searched types of Master Data Management jobs in Atlanta, GA? The most popular types of Master Data Management jobs in Atlanta, GA are:
What job categories do people searching Remote Master Data Management jobs in Atlanta, GA look for? The top searched job categories for Remote Master Data Management jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Master Data Management jobs? Cities near Atlanta, GA with the most Remote Master Data Management job openings:
Infographic showing various Remote Master Data Management job openings in Atlanta, GA as of August 2026, with employment types broken down into 75% Full Time, 11% Part Time, 8% Temporary, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $88,710 per year, or $42.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kennesaw, GA • Remote

Full-time

Re-posted 18 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.