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Data Management Jobs in Nebraska (NOW HIRING)

Build out Data Quality Management from the ground up: define critical data elements, set quality rules, implement monitoring, and resolve issues at the root. * Oversee data classification and ...

You'll develop, implement, and oversee enterprise-wide data governance, data quality, and data management policies, ensuring our data is accurate, secure, consistent, discoverable, and compliant. You ...

Strategic Data Partnership Manager

Omaha, NE · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Understanding of data licensing and commercial data management, including usage rights, licensing ... terms, volume-based pricing structures, downstream use cases, and audit/compliance requirements.

Data and Turf Director - Nebraska

Omaha, NE · On-site

$1.1K - $1.4K/wk

  • Medical

  • PTO

If you are passionate about using data and local knowledge in Nebraska to advance progressive ... Strong management skills, including the ability to motivate and inspire a team while also holding ...

The State of Nebraska is seeking a Chief Data Officer to manage and secure enterprise data systems across state agencies. The role involves overseeing data integration, quality control, and ...

Data Warehouse Manager I

Omaha, NE · Hybrid

$100K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software or data management certifications. * Experience with regulatory or compliance-related data processes. Benefits and Perks: * Salary: $100,000 - $125,000 per year * Health, Vision, Dental ...

... of Data Ops and Data Management tools, such as Docker, Jenkins and Spark. • Adept at generating reports and presenting findings in an understandable manner • Excellent oral and written ...

$360K/yr

Description BASIC FUNCTION The purpose of the Digital Records Management and Governance function is to ensure data stewardship which includes data cataloging, defining and documenting data ...

Showing results 21-40

Data Management information

See Nebraska salary details

$29.6K

$92.6K

$164K

How much do data management jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data management in Nebraska is $92,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $119,700.00 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 Nebraska?

The most popular types of Data Management jobs in Nebraska are:

What are popular job titles related to Data Management jobs in Nebraska?

For Data Management jobs in Nebraska, the most frequently searched job titles are:

What cities in Nebraska are hiring for Data Management jobs?

Cities in Nebraska with the most Data Management job openings:

Infographic showing various Data Management job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $92,623 per year, or $44.5 per hour.

Data Governance Lead

Cordova

Omaha, NE • On-site

Full-time

Re-posted 22 days ago


Job description

Data Governance LEAD
On-site | Omaha, NE or Irving, TX

About the Role

This is a senior leadership opportunity for a data governance practitioner ready to own an enterprise-level function with real organizational visibility. You'll build and scale the governance framework from strategy through day-to-day execution — working hand-in-hand with both business and technology stakeholders to ensure data is trusted, well-cataloged, and accessible. If you've done governance in theory and want to prove it in practice, this is the seat.

What You'll Own

  • Architect and operate the enterprise data governance framework, driving consistency across business units and technology teams.
  • Champion data ownership and stewardship adoption at the domain level — establishing accountability where it often doesn't exist.
  • Lead the data cataloging function, ensuring data assets are discoverable, certified, and actively used.
  • Build out Data Quality Management from the ground up: define critical data elements, set quality rules, implement monitoring, and resolve issues at the root.
  • Oversee data classification and retention compliance in close coordination with Security, Legal, Records Management, and Data Owners.
  • Connect governance priorities to strategic business initiatives — including the organization's AI readiness roadmap.
  • Facilitate governance forums and working groups that drive policy adoption and real decision-making.
  • Advance a data marketplace model where trusted data reaches the right users without friction.
  • Develop and deliver data literacy programs for Owners, Stewards, and end users at all levels.
  • Lead, coach, and grow a team of data governance professionals with a focus on accountability and continuous improvement.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics/Science, or a related field.
  • Demonstrated experience in data governance, data management, or a closely related discipline — with hands-on involvement in cataloging and data quality programs.
  • Proven ability to drive data ownership and stewardship adoption across both business and technology audiences.
  • Strong working knowledge of governance principles: policies, cataloging frameworks, and data quality standards.

Preferred Qualifications

  • Master's degree in Computer Science, Information Systems, or Data Analytics/Science.
  • Certification in data governance, data quality, or data management (CDMP, DAMA, or equivalent).
  • Direct experience leading enterprise-level data governance programs.
  • Hands-on experience with data catalog platforms such as Collibra, Atlan, or data.world; familiarity with data quality tooling a plus.
  • Background in regulated or data-intensive industries (energy, financial services, healthcare); experience with classification, retention, and compliance frameworks preferred.