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Data Management Jobs in Nebraska (NOW HIRING)

... Management Framework · Developing, constructing, testing, and maintaining architectures, such as databases and large-scale processing systems · Deriving trends in data sets and developing ...

Requirements Bachelor's degree in Computer Science, Information Technology, or related field 10+ years of experience in data management, data governance, or a related field Proven track record of ...

Data Governance Engineer

Omaha, NE

$104K - $124K/yr

Advance Metadata Management & Data Discovery * Build and maintain automated metadata management frameworks to improve data cataloging, lineage visibility and data product management. * Implement and ...

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

Advance Metadata Management & Data Discovery * Build and maintain automated metadata management frameworks to improve data cataloging, lineage visibility and data product management. * Implement and ...

Position Overview The GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives in a dynamic Department of Defense ...

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 ...

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Data Management information

See Nebraska salary details

$29.6K

$92.6K

$164K

How much do data management jobs pay per year?

As of Jul 28, 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 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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certification regardless of age. Many professionals successfully transition into data analysis later in their careers by gaining relevant skills and experience.

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.

Is data management a good skill?

Data management is a valuable skill for data management professionals, as it involves organizing, storing, and maintaining data to ensure accuracy and accessibility. Proficiency with database tools, data governance, and data quality standards enhances job performance and career prospects in this field.

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 skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL and Excel, and knowledge of data governance and security practices. Attention to detail, problem-solving abilities, and familiarity with data modeling and cleaning are also important. Certifications such as Certified Data Management Professional (CDMP) can enhance qualifications.

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, and data quality tools, requiring skills in SQL, data modeling, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

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 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 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 July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,623 per year, or $44.5 per hour.

Senior Director of Data Management

ConAgra Foods, Lamb Weston

Omaha, NE • Hybrid

$153K - $236K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

Reporting to the Vice President, Global Business Services, you will lead the enterprise Data Management Organization and drive the strategy, governance, and execution of master data excellence across Conagra. You will strengthen data quality, build governance capabilities, and create sustainable processes that ensure trusted, high-quality data across operational and analytical environments.A Taste of Your ResponsibilitiesLead the enterprise data governance framework, including roles, standards, policies, and stewardship models.Drive the data quality strategy with rule development, monitoring, scorecards, and remediation tied to business outcomes.Advance capabilities in master data management, integration and migration, digital shelf governance, and compliance with global standards.Promote governance methods centered on automation, system-enforced controls, and scalable processes supporting growth and acquisitions.Architect modern master data processes that minimize errors, accelerate launches, prevent supply chain disruptions, and enable analytics.Guide cross-functional execution through an efficient operating model focused on quality, speed, and business value.Ensure master data requirements are consistently met within SLAs while adapting to evolving business needs.Partner with IT and functional teams to embed governance and quality standards into systems, workflows, and integrations.Develop and lead teams of stewards, domain owners, and governance professionals with clear roles and performance expectations.Manage third-party partnerships to ensure consistent delivery and continuous improvement.Translate enterprise strategies into DMO goals, roadmaps, and measurable outcomes.Collaborate with Procurement, Research & Development, Supply Chain, Finance, Sales, and IT to deliver aligned governance solutions.Serve as a trusted advisor, elevating awareness of data quality impacts and driving adoption of standards.Oversee end-to-end data lifecycle processes, including integrations, content publishing, and quality initiatives.Monitor user satisfaction, resolve escalations, and champion user-centered improvements.Ingredients Required for Your SuccessBachelor's degree in Business, Finance, Information Technology, Data Management, or a related field; Master's degree preferred.12+ years of progressive leadership across business and data functions, including 5+ years leading teams.Expertise in Buy, Make, Sell and Deliver processes and master data requirements within a consumer packaged goods environment.Knowledge of one or more domains such as Planning, Procurement, Manufacturing, Finance, Transportation, or Sales.Experience in data governance, master data management concepts, data quality frameworks, metadata management, and enabling technologies.Skilled in influencing at all levels and navigating complex stakeholder environments.Experience with customer supply chain systems, business integrations, and vendor ecosystems.Number of Days in Office: 3#LI-Hybrid#LI-PM1#LI-DirectorCompensation Pay Range:$153,000-$236,000The annual salary listed above is the expected offering for this position. An employee's actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees' equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.Our BenefitsWe care about your total well-being and will support you with the following, subject to your location and role:Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursementWealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase planGrowth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursementBalance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunitiesOur CompanyAt Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions - within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®.Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.