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Data Management Jobs in Madison, WI (NOW HIRING)

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Data Management information

See Madison, WI salary details

$31.2K

$97.9K

$173.3K

How much do data management jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data management in Madison, WI is $97,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $126,500.00 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 tools, data governance policies, and data quality standards to support business operations and decision-making.

What skills are needed for data management?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.
More about Data Management jobs

What are the most commonly searched types of Data Management jobs in Madison, WI?

The most popular types of Data Management jobs in Madison, WI are:

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

What job categories do people searching Data Management jobs in Madison, WI look for?

The top searched job categories for Data Management jobs in Madison, WI are:

What cities near Madison, WI are hiring for Data Management jobs?

Cities near Madison, WI with the most Data Management job openings:

Data Management jobs near you
Infographic showing various Data Management job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $97,900 per year, or $47.1 per hour.

Data Management - Certified Project Manager IV/Sr.

Goli Tech

Madison, WI • On-site

$52.25 - $70.50/hr

Contractor

Re-posted 6 days ago

Job description

Candidates MUST be WI residents or willing to relocate to WI at their own expense prior to starting. This position can work 100% remotely (within the state of WI).Job Description

We have an immediate opening at the Department of Employee Trust Funds (ETF) for a Project Manager / Scrum Master. Our team is responsible for BI/Analytics, a data lake platform, master data management (MDM), data integration, data conversion, data quality, data architecture, data modeling, data literacy, and data governance. Data is one of our most valuable assets and we strive to become a more data-literate and data-driven organization. This position will work on a small, collaborative team that uses agile practices to deliver value to our business partners. This position must have strong analytical and problem-solving skills with the ability to think critically and identify innovative solutions. This position must have strong technical knowledge in data management.

Key requirements
  1. Experience leading and managing large, complex enterprise-level projects consisting of multiple agile teams using Scrum/agile methodologies. Must have experience leading projects for business intelligence and data warehousing.
  2. Knowledge of both agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment.
  3. Experience defining project scope and schedule while focusing on regular and timely delivery of value; organizing and leading project status and working meetings; preparing and distributing progress reports; managing risks and issues; correcting deviations from plans; and performing delivery planning for assigned projects.
  4. Experience in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring and developing team members.
  5. Experience assembling project plans and teamwork assignments, directing and monitoring work efforts daily, identifying resource needs, performing quality review; and escalating functional, quality, timeline issues appropriately.
  6. Sufficient technical experience with data management and analytics to provide highly credible leadership to technical teams and to be able to accurately and objectively evaluate complex project risks and issues.
  7. Provide leadership for release management.
  8. Managing team progress/status through JIRA.
  9. Ability to coordinate data management software upgrades and provide appropriate communication to impacted stakeholders.
  10. Demonstrated interpersonal and communication skills, ability to influence others and to interact with individuals at all levels.
  11. Ability to work productively with cross-functional working groups and across organizational layers.
  12. Strong interpersonal skills including mentoring, coaching, collaborating, and team building.
  13. Ability to develop and deliver presentations to both technical and non-technical audiences.
  14. Knowledge and understanding of business needs with the ability to establish/maintain high level of customer trust and confidence.
  15. Solid understanding of and demonstrated experience in agile project management tools such as Jira or equivalent.
  16. Preferred experience implementing SAFe (Scaled Agile Framework)

Top Skills & Years of Experience:

  • Minimum of 5 years in a scrum-master role leading scrums for business intelligence and data warehousing.
  • Minimum of 5 years in a project manager role leading Agile technical projects.
  • Minimum of 5 years in large, complex enterprise-level projects consisting of multiple teams

Nice to Have Skills:

  • Experience implementing SAFe (Scaled Agile Framework)
  • Experience using Jira
  • PMP certification is nice to have but not required

Required Skills : Scrum Master

Basic Qualification :

Additional Skills :

This is a high PRIORITY requisition. This is a PROACTIVE requisition

Background Check : No

Drug Screen : No