1

Data Management Jobs in Decatur, GA (NOW HIRING)

Job Type Full-time Description Overview Tanaq Management Services (TMS) delivers professional ... The Laboratory Data Manager III is responsible for the management and analysis of laboratory data ...

Master Data Manager

Norcross, GA · On-site

$150K - $160K/yr

Partner with IT to integrate data across ERP, MES, PLM, CRM, BI, and Analytics platforms. * Support ERP transformation, data migration, cleansing, and harmonization projects. * Lead global cross ...

Develop and deploy data governance and data management concepts, frameworks and operating models. * Collaborate with business and technical stakeholders to activate and use data management tools (i.e ...

Develop and deploy data governance and data management concepts, frameworks and operating models. * Collaborate with business and technical stakeholders to activate and use data management tools (i.e ...

Develop and maintain Data Management Plans (DMPs), CRFs, edit check specifications, and other essential documents. * Oversee database build. * Testing, validation, and UAT processes in EDC systems

Develop and maintain Data Management Plans (DMPs), CRFs, edit check specifications, and other essential documents. * Oversee database build. * Testing, validation, and UAT processes in EDC systems

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Showing results 21-40

Data Management information

See Decatur, GA salary details

$30.3K

$94.8K

$167.9K

How much do data management jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data management 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 data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in data management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance policies, and data quality tools, requiring skills in data analysis, SQL, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL, data modeling, and knowledge of data governance and security practices. Familiarity with data management software, attention to detail, and the ability to organize large datasets are also essential. Certifications such as Certified Data Management Professional (CDMP) can enhance job prospects.

What are the most commonly searched types of Data Management jobs in Decatur, GA?

The most popular types of Data Management jobs in Decatur, GA are:

What job categories do people searching Data Management jobs in Decatur, GA look for?

The top searched job categories for Data Management jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Data Management jobs?

Cities near Decatur, GA with the most Data Management job openings:

Infographic showing various Data Management job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $94,846 per year, or $45.6 per hour.

Manager, Data Stewardship

Atlanta, GA • On-site

Other

Medical, Retirement, PTO

Posted 23 days ago


Job description

About Invesco

As one of the worlds leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

What's in it for you?

Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:

  • Flexible paid time off
  • Hybrid work schedule
  • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
  • Health & wellbeing benefits
  • Parental Leave benefits
  • Employee stock purchase plan
Job Description

The Manager, Data Stewardship is a hands-on, collaborative leader responsible for driving data quality, stewardship execution, and operational readiness across assigned master data domains. This role combines people leadership, data stewardship expertise, master data management knowledge, and practical systems understanding to ensure critical business information is trusted, controlled, and usable across the enterprise. The Manager will lead Data Stewards and partner closely with Data Product Owners, Data Governance, technology teams, data architects, and business stakeholders to define data requirements, monitor quality, resolve issues, strengthen controls, and improve stewardship processes. The role requires the ability to lead through ambiguity, translate business needs into actionable data and process requirements, and drive measurable improvements in data quality and operational performance.

Key Responsibilities
  • Lead, coach, and develop a team of Data Stewards and data professionals.
  • Serve as a subject matter expert for assigned master data domains, stewardship practices, and data quality processes.
  • Translate business needs into clear data, process, reporting, and technology requirements.
  • Identify opportunities to simplify, automate, and continuously improve stewardship workflows and controls.
Primary Duties
  • Lead day-to-day stewardship activities across assigned master data domains, ensuring data is accurate, trusted, available, and fit for purpose.
  • Manage, coach, and mentor Data Stewards; set goals, support development, and drive accountability for individual and team performance.
  • Partner with Data Product Owners, Data Governance, business stakeholders, data architects, and technology teams to define priorities, requirements, data quality rules, SLAs, and remediation workflows.
  • Define, standardize, measure, and monitor data quality metrics; develop reporting and dashboards that provide visibility into data quality health and issue resolution.
  • Identify and maintain Critical Data Elements, data definitions, metadata, data dictionaries, and field-level guidance for assigned domains.
  • Perform and oversee data profiling, data cleansing, data mapping, trend analysis, root cause analysis, issue triage, and remediation activities.
  • Address complex data issues escalated by team members or stakeholders, applying knowledge of data, systems, business processes, and controls.
  • Support master data management implementation and improvement activities, including workflow design, data quality rule definition, data model input, integration support, and system issue resolution.
  • Use SQL, Excel, and other analytical tools to build queries, analyze data, identify trends, and provide actionable insights to stakeholders.
  • Drive operational excellence by recommending people, process, and technology improvements that increase efficiency, accuracy, automation, and control.
Required Experience
  • 10+ years of relevant experience in data management, data stewardship, master data management, data governance, business analysis, data quality, or related data disciplines.
  • 2+ years of people leadership experience, including coaching, mentoring, goal setting, and performance management.
  • Strong understanding of master data management, data stewardship, data quality management, data governance, metadata, and data lifecycle practices.
  • Experience with data management systems, MDM platforms, data quality tools, workflow tools, metadata repositories, or enterprise data platforms.
  • Advanced SQL and Excel skills; experience with Python, Alteryx, VBA, Power BI, or similar tools is a plus.
  • Ability to understand data models, data integrations, workflows, and data quality rules, and to partner effectively with technology teams.
  • Strong analytical, problem-solving, written, and verbal communication skills, with the ability to explain technical concepts to business stakeholders.
  • Ability to work independently, manage multiple priorities, make sound decisions within defined policies, and lead through ambiguity.
  • Demonstrated ability to build relationships and influence across business, technology, governance, and operations teams.
  • Bachelor's degree in Business Administration, Computer Science, Data Science, Information Science, Economics, Accounting, Engineering, Information Technology, or a related field.
Employment Details

Full Time / Part Time, Full time Worker Type Employee, Job Exempt (Yes / No) Yes

Workplace Model

Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development.

Equal Opportunity

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

As one of the worlds leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

#J-18808-Ljbffr