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Data Management Manager Jobs in Kansas (NOW HIRING)

Data Engineer

Kansas City, KS

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The goal is to level up data warehousing and data management capabilities, including curated and cleansed data sets, certified data models and sources. We are adapting to cloud-based data automation ...

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The goal is to level up data warehousing and data management capabilities, including curated and cleansed data sets, certified data models and sources. We are adapting to cloud-based data automation ...

Sr. Product Manager

Wichita, KS

$113K - $149K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This role combines deep product management expertise with a strong understanding of enterprise storage systems, AI data infrastructure, and go-to-market execution. The successful candidate will ...

Data Quality Officer

Olathe, KS · On-site

$90 - $120/hr

Work with IT and Data Management teams to define requirements for data cleansing and correction activities.Support business teams in improving data creation and maintenance processes at the source to ...

Overview Responsible in managing, leading, coordinating, and administering multiple projects at separate locations from the conceptual stages through planning, engineering, procurement, construction ...

Showing results 41-60

Data Management Manager information

See Kansas salary details

$27.6K

$86.6K

$153.4K

How much do data management manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data management manager in Kansas is $86,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $111,900.00 per year, depending on experience, location, and employer.

What does a data management manager do?

A Data Management Manager oversees the collection, storage, and organization of data within an organization. They ensure data accuracy, security, and accessibility while developing policies and procedures for data management. Their role often involves leading a team, ensuring compliance with data regulations, and collaborating across departments to support business goals. Effective data management is crucial for making informed decisions and maintaining operational efficiency.

What are the key skills and qualifications needed to thrive as a data management manager?

To thrive as a Data Management Manager, you need expertise in data governance, data quality management, and a solid understanding of database systems, often supported by a bachelor's or master's degree in information systems or a related field. Familiarity with tools such as SQL, data warehousing platforms, data visualization software, and certifications like CDMP (Certified Data Management Professional) are highly valued. Leadership, analytical thinking, and strong communication skills are essential for effectively collaborating with stakeholders and guiding data teams. These skills ensure data integrity, compliance, and the ability to leverage data for strategic business decisions.

What are some common challenges faced by data management managers, and how can they be addressed?

Data Management Managers often encounter challenges such as ensuring data quality, integrating data from multiple sources, and maintaining compliance with data privacy regulations. To address these, it's important to implement robust data governance frameworks, foster collaboration between IT and business units, and invest in ongoing staff training. Effective communication and clear documentation of data standards also help in minimizing misunderstandings and maintaining data integrity across the organization.

What is the difference between Data Management Manager vs Data Analyst?

AspectData Management ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Systems, or related fields; certifications like CDMPBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentOversees data teams, manages data governance, and ensures data quality in corporate settingsAnalyzes data sets, creates reports, and provides insights primarily through data visualization tools
Employer & Industry UsageUsed in industries with large data needs like finance, healthcare, and techCommon across marketing, finance, and consulting firms for data-driven decision making

The Data Management Manager focuses on overseeing data governance, quality, and strategy, while the Data Analyst primarily interprets data to generate insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What are the most commonly searched types of Data Management jobs in Kansas?

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

What cities in Kansas are hiring for Data Management Manager jobs?

Cities in Kansas with the most Data Management Manager job openings:

Infographic showing various Data Management Manager job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $86,638 per year, or $41.7 per hour.

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Associated Wholesale Grocers rating

6.8

Company rating: 6.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores


Job description

Data Engineer

Location: 5000 Kansas Avenue Kansas City, KS 66106

Department: IT

Make us your BEST Choice! 

Associated Wholesale Grocers (AWG) is transforming our business intelligence, analytics, and data automation capabilities. The goal is to level up data warehousing and data management capabilities, including curated and cleansed data sets, certified data models and sources. We are adapting to cloud-based data automation for data cleansing, extraction, loading, transformations and visualizations. Another goal is to expand storage and compute capacity for ingestion of structured and unstructured data.

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a new company-wide business intelligence and analytics environment. You will assist in the design and development of standardized datasets derived from multiple systems of record. A key area of success for this role is developing or applying existing development and scripting skills in process automation to orchestrate data pipelines from business systems, data lakes and third-party data repositories. You will be creating and loading dimensional models that will be used for analysis and reporting. As you work on projects and enhancements you will assist in refining data governance within business processes and the technical tool chain. A key to success in this role is to quickly learn the meaning of business data and understand the business domain. 

Scope: This role is a learning position that requires hands-on review and supervision from leads, managers and occasionally Directors.

Position Responsibilities:

Support Availability and Services (50-60%)

  • Troubleshoot and develop solutions to problems, including using AWG approved AI tools such as Gemini, CoPilot and NotebookLM.
  • Collaborate with other developers and support engineers to resolve production, enhancement or development issues.
  • Participate in an on-call rotation for integration and transformation pipelines, legacy systems, and modern data platforms that may involve occasional off-hours and weekend support.
  • Take ownership of following on-call procedures and instituting permanent fixes for repetitive problems.
  • Maintain documentation for legacy systems, jobs, modern pipelines, and modernization implementation.
  • Understand and implement change control procedures (including RFC, CAB, CI/CD).

Deliver Solutions (25%)

  • Build real-time and batch data integrations from disparate source systems into the data lake/data warehouse/delta lake.
  • Build and maintain scalable ETL processes using workflow automation tools.
  • Provide documentation (including Technical Design Documents) for installations and deliverables.
  • Design dimensional models and be able to cleanse and transform raw data into structured formats.
  • Administer and maintain data pipelines used for loading data into the data warehouse or lakehouse.
  • Scale and tune data pipelines, data sets, and SQL queries.
  • Responsible for Unit testing, support of Integration testing, and User Acceptance Testing.
  • Required Basic Skills: Develops timely and proper change documentation. Proactively communicates status to key stakeholders to diagnose and ensure delivery is on track. Takes ownership of assignments. Proactively drives results and seeks support when hitting barriers. Exhibits curiosity to understand how changes fit into the overall scope.

Learning and Continuous Improvement (10-20%)

  • Responsible for understanding and adoption of IT Architecture practice.
  • Continuous learning of existing and future data technologies and tools.
  • Apply standard methodologies to analyze, design, develop, test, and deploy data management solutions.
  • Participate in agile story authoring, sizing, and demo sessions for developed features.
  • Participate in code reviews and receive feedback from the team.
  • Propose process improvements for continuous department maturity.

Align Roadmap and Strategy (5%)

  • Collaborate with business partners to understand their business problems or needs and desired outcomes.
  • In collaboration with other members of the team and user community, configure cloud-based capabilities that enable the AWG community.
  • Communicate priorities to the technology organization to drive effective business solutions.
  • Maintain verbal and written issue identification and status updates to cross-functional teams and leadership.

Position Requirements:

  • Experience: 1-3 years of data engineering or related experience (Associate Analyst level). Basic understanding of data modelling, mapping and data quality/governance practices.
  • Education: Bachelor's degree in software engineering, computer science, computer information systems, or related degree, or equivalent professional experience.
  • SQL Skills: Must be able to read/write SQL in the following environments (SQL Server, Oracle, DB2).
  • Cloud Experience: Experience working in cloud data environments (AWS, Azure). Experience working with AWS or Azure workflow orchestration tools.
  • Data Systems: Experience working with one or more columnar storage systems (Snowflake, Redshift, BigQuery, etc.).
  • Process: Must have completed at least one full cycle of building a data lake and/or a data warehouse.
  • Analytical Skills: Knowledge and skills with Power BI will be important, not critical.
  • Soft Skills: Strong business communications skills for requirements gathering and development. Ability to multi-task and change priorities.

Nice To Have:

  • Worked with or built Data Lakes, Data Warehouse in a hybrid environment (cloud / on-premises).
  • Experience working with CRM systems like Salesforce.
  • Experience with end-to-end supply chain or merchandising.
  • Exposure to data streaming tools and technologies like Kafka, TensorFlow or similar.
  • Basic knowledge and understanding of statistics and awareness of data science methodologies.

Associated Wholesale Grocers, Inc. (AWG) is the nation's largest cooperative food wholesaler to independently owned supermarkets, serving 1,100 member companies and 3,500 locations throughout 33 states from 9 wholesale division support centers. Consolidated sales for AWG in 2024 were $12.1 billion. In addition to its cooperative wholesale operations, the company also operates subsidiary companies that provide certain real estate and supermarket development services, and pharmaceutical products. For more information, visit AWGinc.com.

 Benefits:

  • Medical, Dental, & Vision Insurance

  • Health Savings Account

  • Dependent Care Flexible Spending Account

  • Paid Vacation, Holiday, and Sick Time

  • 401(k) with 4% match along with 3 other contributions

  • Tuition Reimbursement

  • Basic & Supplemental Life and AD&D

  • Employee Assistance Program

  • Short-Term and Long-Term Disability 

  • Wellness Program

  • Yearly Holiday Bonus


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