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Data Ops Manager Jobs in Georgia (NOW HIRING)

Aderant

Program Manager, Engineering Ops

Atlanta, GA

$124K/yr

... data and clear problem statements. * Partner tightly with Engineering & Product leaders to ... Program Management / Technical Program Management / * Product Ops / Delivery roles in SaaS ...

Aderant

Program Manager, Engineering Ops

Atlanta, GA · On-site

$124K/yr

... data and clear problem statements. * Partner tightly with Engineering & Product leaders to ... Program Management / Technical Program Management / * Product Ops / Delivery roles in SaaS ...

NTT Data, Inc.

3576 - Supervisor, L1 NOC

Ashburn, GA · On-site

As a member of the DC Ops management team, this individual will collaborate to set standards and ... NTT Global Data Centers Americas, Inc. offers competitive compensation based on experience ...

BLUE OPS INC

Logistics Coordinator

Valdosta, GA

$16 - $21.25/hr

... Blue Ops standards. * Coordinate with Materials Manager and production teams on priorities ... data controlled under the International Traffic in Arms Regulations (ITAR) and the Export ...

Rubicon

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Location: Remote/Hybrid - USA Reports to: Senior Director, Data Department Name ... You will collaborate with Account Management, Finance, Finance Ops, and other teams to support ...

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Data Ops Manager information

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What are the key skills and qualifications needed to thrive as a Data Ops manager, and why are they important?

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are popular job titles related to Data Ops Manager jobs in Georgia?

For Data Ops Manager jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Ops Manager jobs in Georgia look for?

The top searched job categories for Data Ops Manager jobs in Georgia are:

What cities in Georgia are hiring for Data Ops Manager jobs?

Cities in Georgia with the most Data Ops Manager job openings:

Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid)

NTT DATA Services

Atlanta, GA • On-site

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

118th of 224 rated it services

Job description

Req ID: 382452
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid) to join our team in Atlanta, Georgia (US-GA), United States (US).
Senior AI DevOps Engineer (AI Ops / Platform Engineering)
Position Summary
We're looking for an experienced Senior AI DevOps Engineer to help build the next generation of AI-powered software delivery and cloud operations. In this role, you'll combine modern DevOps practices with Generative AI, LLM agents, Model Context Protocol (MCP), and intelligent automation to transform how engineering teams build, deploy, and operate software.
You'll partner with Platform Engineering, DevOps, Security, SRE, and AI teams to design secure, scalable, cloud-native solutions that accelerate software delivery while improving reliability, observability, and operational efficiency.
This is an opportunity to work on cutting-edge AI technologies that are redefining modern software engineering.
What You'll Do
  • Design, build, and optimize AI-enabled CI/CD pipelines that improve developer productivity, deployment speed, and software quality.
  • Develop and deploy Model Context Protocol (MCP) clients and servers that securely connect enterprise LLMs with engineering tools, cloud infrastructure, and operational platforms.
  • Build custom MCP services using Python, TypeScript, JavaScript, or Node.js to expose infrastructure, deployment, monitoring, and operational data to authorized AI agents.
  • Integrate LLM-powered workflows for automated code reviews, testing, security analysis, release validation, and infrastructure recommendations.
  • Build and maintain enterprise CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, or similar platforms.
  • Implement AI-driven ChatOps capabilities that enable engineers to interact with deployment pipelines, cloud environments, and operational tools through secure conversational interfaces.
  • Design intelligent remediation workflows for incident detection, root cause analysis, log analysis, and operational troubleshooting.
  • Develop secure Infrastructure-as-Code automation using Terraform, OpenTofu, Pulumi, Terragrunt, CloudFormation, or similar technologies.
  • Deploy and manage containerized applications using Kubernetes and Docker across AWS, Azure, or Google Cloud.
  • Build AI-powered observability solutions leveraging Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, ELK, or similar platforms.
  • Implement security guardrails including RBAC, least-privilege access, approval workflows, audit logging, rollback mechanisms, and secure AI tool access.
  • Partner with Engineering, Platform, Security, SRE, and AI teams to identify and implement intelligent automation opportunities.
  • Create reusable automation frameworks, documentation, dashboards, and engineering best practices that scale across the organization.

Required Qualifications
  • 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or Infrastructure Automation.
  • 4+ years designing and supporting enterprise CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, or similar tools.
  • 3+ years of cloud engineering experience in AWS, Azure, or Google Cloud (AWS preferred).
  • Strong experience deploying and managing Kubernetes and Docker in production environments (EKS, AKS, or GKE).
  • Hands-on experience with Infrastructure as Code using Terraform, OpenTofu, Pulumi, Terragrunt, CloudFormation, or similar tools.
  • Strong programming skills in Python, TypeScript, JavaScript, Bash, Go, or similar languages.
  • Experience integrating enterprise LLM platforms such as OpenAI, Anthropic, or equivalent AI services into engineering workflows.
  • Experience with AI orchestration frameworks such as LangChain, CrewAI, LlamaIndex, or similar technologies.
  • Experience designing or implementing Model Context Protocol (MCP) clients and servers.
  • Experience implementing DevSecOps practices including SAST, DAST, dependency scanning, container security, secrets management, and vulnerability management.
  • Experience with secrets management solutions such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault.
  • Strong experience with monitoring, logging, and observability platforms such as Datadog, Grafana, Prometheus, CloudWatch, Splunk, Dynatrace, or ELK.
  • Excellent troubleshooting skills across cloud infrastructure, CI/CD pipelines, Kubernetes, and production systems.
  • Strong communication skills and the ability to collaborate across engineering, security, and AI teams.

Preferred Qualifications
  • Experience building AI-assisted infrastructure provisioning and deployment workflows.
  • Experience implementing autonomous or AI-assisted incident response and operational remediation.
  • Experience with MLOps platforms including MLflow, Amazon SageMaker, Vertex AI, Azure ML, or similar technologies.
  • Experience implementing human-in-the-loop approval workflows for AI-generated operational actions.
  • Knowledge of Policy-as-Code frameworks such as Open Policy Agent (OPA), Sentinel, or Checkov.
  • Experience with GitOps platforms such as ArgoCD or Flux.
  • Experience working within regulated industries such as financial services, healthcare, insurance, or government.
  • AWS, Kubernetes, DevOps, Security, or AI/ML certifications.

What Makes You Successful
  • Passion for automation and continuously improving engineering productivity.
  • Security-first mindset with practical experience implementing safe, responsible AI automation.
  • Ability to bridge DevOps, Platform Engineering, AI, Security, and Software Engineering disciplines.
  • Strong problem-solving skills with an ownership mentality from design through production support.
  • Comfortable leading technical initiatives and mentoring engineering teams on modern AI-enabled development practices.

Education
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline (or equivalent professional experience).
Work Location
Hybrid schedule with three days per week onsite as required by the client or project.
Pay Transparency
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $87,952-$162,875. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here
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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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