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Data Management Jobs in Springfield, MO (NOW HIRING)

Employee Type FT Exempt The Director of Data Technologies will lead the team that manages the platforms and data related to sales, ERP and business management. This team will provide written and ...

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Data Management information

See Springfield, MO salary details

$28.2K

$88.4K

$156.5K

How much do data management jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data management in Springfield, MO is $88,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $114,200.00 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 Springfield, MO?

The most popular types of Data Management jobs in Springfield, MO are:

What job categories do people searching Data Management jobs in Springfield, MO look for?

The top searched job categories for Data Management jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Data Management jobs?

Cities near Springfield, MO with the most Data Management job openings:

Infographic showing various Data Management job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $88,366 per year, or $42.5 per hour.

Director of Data Technologies

Digital Monitoring Products

Springfield, MO โ€ข On-site

Full-time

Posted 12 days ago


Job description

Description
The Director of Data Technologies will lead the team that manages the platforms and data related to sales, ERP and business management. This team will provide written and numerical information on company trends, volume of sales, customer experience and company activities by creating detailed reports on findings and identify areas for improvement, summarize data and provide recommendations to management and teams.
Qualifications:
  • 5+ years related experience, preferably in a leadership role
  • At least 8 years' experience working in Business Intelligence, CRM Management or related field.
  • Proven aptitude for interpreting data and turning it into actionable plans.
  • Proven ability to lead a technical team
  • Excellent verbal and written communication skills as well as excellent presentation skills.
  • Ability to prioritize workload in a busy, multi-task environment.
  • Ability to develop, execute and lead complex research projects with minimal supervision.
  • Ability to make conclusions and provide recommendations based on data trends from multiple sources.
  • Strong knowledge of database queries, web tools, CRM Systems, demographic profiling systems and data management tools with strong background in Microsoft products.
  • Experience with analytics platforms. Qlik Sense and Qlik nPrinting experience a plus.

Typical Duties and Responsibilities:
  1. Plan, develop, direct, and evaluate the organization's data status and performance.
  2. Provide leadership, vision, and management to the data team while maintaining focus on the company's strategic goals. Identify opportunities for improvement in data use and systems and present them to executive leadership.
  3. Prepare statistically accurate reports while illustrating data with graphs and translating complex results into written texts that are clear, understandable, and actionable.
  4. Track and forecast current and future trends in sales and markets and analyze in detail the data collected to provide management with thorough reports, dashboards, and results.
  5. Collect and analyze data regarding customer preferences, demographics, buying habits, and needs to better identify market potential and factors influencing product demand.
  6. Support the development and execution of large data infrastructure and use, balancing cost, efficiency, and security.
  7. Present verbal or written research findings and demonstrate analysis for internal constituents.
  8. Protect operations by keeping information confidential.
  9. Observe and adhere to the DMP Data Classification Standard.
  10. Observe company policies and continuously strive to find processes that create improved efficiency while maintaining conformance to requirements.
  11. May perform related duties or fill in for others in the department or other departments when requested. May train or instruct fellow workers regarding their duties.
  12. Contribute to team efforts by performing other duties as assigned. Job duties are subject to change as directed by management.

EOE/Disabled/Vet