1

Data Management Jobs in Minnesota (NOW HIRING)

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 ...

Associate Data Analyst

Minneapolis, MN · On-site

$56K - $77K/hr

Enterprise Data Management * Develop and enhance automated data quality processes that improve the accuracy, consistency, and reliability of enterprise data. * Investigate data issues, perform root ...

Data Architect

Minneapolis, MN · On-site

$90 - $130/hr

Bachelor's degree in Computer Science, Information Technology, Data Management, Engineering, or a related field, or equivalent practical experience. * Strong experience in data analysis, data ...

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

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 ...

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

Showing results 21-40

Data Management information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data management jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data management in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 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.

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 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.

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 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 Minnesota?

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

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

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

What cities in Minnesota are hiring for Data Management jobs?

Cities in Minnesota with the most Data Management job openings:

Infographic showing various Data Management job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.

Senior Consultant, Data Management and Governance - ANH

Cargill

Wayzata, MN • On-site

$100K - $140K/yr

Full-time

Re-posted 16 hours ago


Cargill rating

7.5

Company rating: 7.5 out of 10

Based on 221 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact
  • The Senior Consultant - Data Management & Governance job ensures the accuracy, security and effective use of the organization's complex data. With minimal supervision, this subject matter authority develops, implements and governs policies and practices to ensure compliance with regulations while improving the value of data.
Key Accountabilities
  • STRATEGIC PLANNING: Serves as a domain expert and contributes to developing, deploying and maintaining data management and governance strategies aligned with organizational goals.
  • DATA STORAGE, INTEGRATION & CONSUMPTION: Develops, governs and monitors the implementation of standards for data storage, data in transit and data use in both raw and insight formats, and defines the business risk for non-compliance.
  • DATA STANDARDS: Develops, documents and governs detailed data standards to ensure consistency and quality across data domains, and that policies are followed.
  • DATA QUALITY: Ensures the accuracy, consistency and reliability of data throughout its lifecycle by setting data quality standards, supervising data quality metrics and implementing corrective processes while conducting data quality audits as needed to ensure data standards are met, and works across organizational boundaries to address process changes, educational opportunities and organizational accountability.
  • POLICY DEVELOPMENT & GOVERNANCE: Leads the development and operational alignment of data governance policies, providing expertise of given domain or capability.
  • DATA OPERATIONS & STEWARDSHIP: Serves as a domain authority to provide operational improvements to reduce data quality defects, improve efficiency and speed while maintaining compliance to regulations and policies.
  • DATA LIFECYCLE MANAGEMENT: Handles complex data from initiation to decommissioning through the lifecycle to ensure compliance with policies and regulations and serves as a subject matter authority to define opportunities for improvement, risk areas and driving a backlog of maturity advancements for consideration.
  • COMPLIANCE & RISK MANAGEMENT: Develops, improves, implements data governance, risk and compliance processes and controls to mitigate risk and align with applicable laws and regulations.
  • DATA LITERACY & TRAINING: Develops and deploys training programs to improve organizational literacy, compliance to data standards and policies and increased understanding of accountability for data responsibilities.
  • DATA MODELING: Informs the visual representation of a system's data and its relationships to help understand and prioritize the data structure.
Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
  • Professional experience with data quality, ERP, or data management and governance in SAP S4
  • Professional exposure to MDM tooling and processes
  • Knowledge of the Business Partners (BP) domain in SAP
  • Experience in Animal Feed Industry
Compensation Data

The expected salary for this position is $100,000 - $140,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. 

At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellnessto learn more (subject to certain collective bargaining agreements for Union positions) . 

Equal Opportunity Employer, including Disability/Vet.


What Cargill employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Cargill logo

About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US