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Data Manager Jobs in Decatur, GA (NOW HIRING)

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · Hybrid

$71K - $90K/yr

Reporting to the Master Data Manager, this role analyzes data, monitors performance, manages escalations, and supports operational activities to meet SLAs. Responsibilities Vendor & Customer Master ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71K - $90K/yr

Reporting to the Master Data Manager, this role analyzes data, monitors performance, manages escalations, and supports operational activities to meet SLAs. Responsibilities Vendor & Customer Master ...

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71K - $90K/yr

Reporting to the Master Data Manager, this role analyzes data, monitors performance, manages escalations, and supports operational activities to meet SLAs. Responsibilities Vendor & Customer Master ...

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All JobsData JobsData Manager JobsData Manager Jobs in Decatur, GA

Data Manager information

See Decatur, GA salary details

$30.3K

$94.8K

$167.9K

How much do data manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data manager in Decatur, GA is $94,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $122,500.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
What are the most commonly searched types of Data jobs in Decatur, GA? The most popular types of Data jobs in Decatur, GA are:
What job categories do people searching Data Manager jobs in Decatur, GA look for? The top searched job categories for Data Manager jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Manager jobs? Cities near Decatur, GA with the most Data Manager job openings:
Data Manager jobs near you

AI and Data Solutions Manager

Murata Americas

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 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 in AI, machine learning, data engineering, cloud data platforms, or related technical roles.
  • Experience developing and deploying production-level AI/ML solutions using Python and related frameworks or tools.
  • Experience with cloud data platforms and tools, including AWS, Snowflake, and SQL, to support analytics and AI/ML workloads.Experience designing or supporting data and AI/ML workloads in a cloud environment (AWS or Azure).
  • Experience leading or coordinating cross-functional technical projects from requirements through implementation.
  • Ability to translate business needs into technical requirements, solution designs, implementation plans, and adoption approaches.
  • Ability to work independently, manage competing priorities, and deliver high-quality work in a collaborative environment.
  • Ability to explain technical concepts clearly to business stakeholders and translate business problems into practical technical approaches.
  • Strong problem-solving, documentation, communication, and presentation skills.

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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