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Master Data Management Manager Jobs in Kansas (NOW HIRING)

GKN Aerospace

Master Scheduler

Wellington, KS · On-site

Job Summary Responsible for the management of the weekly MPS in order to balance demand and supply ... Data is up to date for all planning and scheduling purposes. Inventory Control: • Monitor and ...

MRINetwork Jobs

Insurer Data Manager

Independence, KS · On-site

Rare opportunity for an insurance data professional who wants more than just reporting. A growing specialty insurance organization is seeking someone to take ownership of key reporting and data ...

MRINetwork Jobs

Insurer Data Manager

Independence, KS · On-site

Rare opportunity for an insurance data professional who wants more than just reporting. A growing specialty insurance organization is seeking someone to take ownership of key reporting and data ...

MRINetwork Jobs

Insurer Data Manager

Independence, KS · On-site

Rare opportunity for an insurance data professional who wants more than just reporting. A growing specialty insurance organization is seeking someone to take ownership of key reporting and data ...

Seaboard

Data and Analytics Manager

Merriam, KS

Someone who can review a data model in the morning, present to management in the afternoon, and ... Bachelor's Degree in Business/IT/Data Analytics Required, Master's Degree in Data Analytics/Science ...

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All JobsMaster Data Management JobsMaster Data Management Manager JobsMaster Data Management Manager Jobs in Kansas

Master Data Management Manager information

See Kansas salary details

$27.6K

$86.6K

$153.4K

How much do master data management manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for master 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 is a master data management manager?

A Master Data Management (MDM) Manager is a professional responsible for overseeing the processes and systems that ensure an organization's core business data—such as customer, product, or supplier information—is accurate, consistent, and accessible across the company. They lead teams that develop and enforce data governance policies, implement MDM technologies, and coordinate with various departments to maintain data quality. MDM Managers play a critical role in optimizing business operations, supporting analytics, and ensuring regulatory compliance by managing the organization's master data assets.

How does a master data management manager typically collaborate with IT and business stakeholders to ensure data integrity?

A Master Data Management (MDM) Manager plays a pivotal role in bridging the gap between IT teams and business units. They regularly facilitate workshops and meetings to understand business requirements, then translate these into data governance policies and technical specifications for IT implementation. The MDM Manager also monitors data quality, oversees data integration processes, and ensures that all stakeholders adhere to established data standards. Effective communication and cross-functional collaboration are essential to maintain high data integrity and support organizational goals.

What are the key skills and qualifications needed to thrive as a master data management manager, and why are they important?

To thrive as a Master Data Management Manager, you need expertise in data governance, data quality management, and a strong understanding of master data principles, often supported by a degree in computer science, information systems, or a related field. Familiarity with MDM platforms (like Informatica, SAP, or Oracle), data integration tools, and relevant certifications such as CDMP is highly beneficial. Strong leadership, project management, and stakeholder communication skills help drive cross-functional data initiatives and resolve complex data issues. These skills are crucial to ensuring data consistency, compliance, and strategic value across the organization.

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

AspectMaster Data Management ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; often certifications in data analysis tools
Work EnvironmentTypically in data management teams, IT departments, or data governance unitsOften in business units, marketing, finance, or operations teams
Employer & Industry UsageUsed in industries with large data needs like finance, healthcare, and retailCommon across various industries for data-driven decision making

The Master Data Management Manager focuses on overseeing the quality, consistency, and governance of core business data, ensuring data accuracy across systems. In contrast, a Data Analyst interprets data to generate insights, reports, and support decision-making. While both roles require strong data skills, the MDM Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

Is Master Data Management a good career?

Master Data Management (MDM) managers oversee the organization and consistency of critical business data, ensuring data quality and integrity across systems. This role typically requires strong analytical skills, knowledge of data governance tools, and certifications such as DAMA-DMBOK. It is considered a stable and growing career path within data management and IT departments.

Is master data management still a thing?

Master Data Management (MDM) remains a vital function for organizations to ensure data consistency, accuracy, and integrity across systems. MDM managers oversee data governance, utilize tools like Informatica or Collibra, and often require certifications such as CDMP to succeed in the role.

What is the average salary of master data management manager?

The average salary for a Master Data Management Manager typically ranges from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with certifications in data management tools and strong leadership skills tend to earn higher salaries.

What are popular job titles related to Master Data Management Manager jobs in Kansas?

For Master Data Management Manager jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Master Data Management Manager jobs in Kansas look for?

The top searched job categories for Master Data Management Manager jobs in Kansas are:

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

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

Master Data Management Manager jobs near you
Infographic showing various Master Data Management Manager job openings in Kansas as of June 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,638 per year, or $41.7 per hour.

IT Data & AI Transformation Leader

WireCo WorldGroup

Leawood, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Company Description

WireCo® is the strength behind the world’s evolution, through deep legacy and forward thinking, we create premium ropes that inspire innovation without limits. Our global footprint includes manufacturing plants, distribution facilities, and research and development centers around the world.

WireCo® offers a competitive salary, incentive programs, growth opportunities, and excellent benefits offerings for employees and their families. Benefits include paid time off, paid holidays, medical, dental and vision insurance, 401(k) retirement plan with generous company match, 100% company-paid life insurance, and 100% company-paid disability insurance.

For more information, check out our website at www.wireco.com and the following videos:

  • https://youtu.be/zzplYW7PMFg
  • https://www.youtube.com/watch?v=6CJwd_yXZAY
Job Description

Role Description

This role leads the transformation of WireCo’s data and AI capabilities into a competitive business advantage. The position focuses on accelerating the use of data and artificial intelligence to drive operational efficiency, commercial growth, and innovation across global operations.

Working closely with business and technology leaders, this role enables scalable analytics, modern data platforms, and practical AI solutions that improve decision-making and unlock new value streams. The leader will guide and develop a high-impact team of data professionals responsible for data engineering, master data, and AI solution delivery across ERP, CRM, analytics, and cloud ecosystems, ensuring alignment with enterprise priorities and measurable business outcomes.

The IT Data & AI Transformation Leader must exhibit and proactively motivate the behaviors of the WireCo Business System (WBS):

  • Teamwork - welcomes an environment of inclusiveness and healthy debate that reflects our team’s strength
  • Accountable – celebrates our successes, learn from failures, avoid excuses, and own the outcomes of our efforts
  • Self-Aware – demonstrates an understanding of our strengths and needs, considering how our actions impact others
  • Noble Intent – acts in the interests of others, approaching our work with integrity to ensure the best outcome
  • Determined – takes initiative, share ideas and find solutions to win and achieve our goals
  • Transparent – promotes open and honest communication and constructive feedback for clarity and truth
  • Curious – seeks knowledge and outside input to test our way of thinking, challenging the status quo

Duties & Responsibilities

Data & AI Transformation Strategy

  • Define and execute a forward-looking data and AI strategy aligned with business growth and digital transformation objectives
  • Identify high-value opportunities to leverage data and AI across JD Edwards, Infor, QAD, Salesforce, and other enterprise systems
  • Partner with executive leadership to prioritize initiatives that deliver measurable business impact
  • Champion a product-oriented mindset, delivering scalable and reusable data and AI solutions

Data Platform & Architecture Modernization

  • Architect and lead modern data and AI solutions leveraging Snowflake and AWS to enable scalable, real-time capabilities
  • Design and drive integration of ERP platforms (JD Edwards, Infor, QAD) and Salesforce into a unified enterprise data environment
  • Establish best practices for data modeling, pipelines, and architecture to support analytics and AI use cases
  • Ensure scalable, secure, and high-performance data architecture aligned with business needs

AI Enablement & Innovation

  • Accelerate adoption of AI technologies including ChatGPT (OpenAI) and Claude to enhance productivity and decision intelligence
  • Architect and oversee development of AI-driven use cases from concept through production
  • Partner with engineering and business teams to embed AI into core processes and workflows
  • Evaluate and scale emerging AI capabilities to maximize business value

Data Quality & Master Data Excellence

  • Drive improvements in data consistency, accuracy, and usability across ERP and Salesforce platforms
  • Lead initiatives to standardize and optimize master data for customers, products, and suppliers
  • Establish metrics to measure and continuously improve data reliability and business confidence

Analytics & Business Value Delivery

  • Enable advanced business KPIs analytics and self-service capabilities using Qlik and enterprise data platforms
  • Leverage integrated ERP and Salesforce data to improve pipeline visibility, forecasting accuracy, and customer insights
  • Translate business needs into scalable data and AI solutions that drive performance
  • Ensure data is leveraged as a strategic asset to improve speed and quality of decision-making

Team Leadership & Delivery

  • Lead, mentor, and develop a team of data and AI professionals, fostering a high-performance and innovation-driven culture
  • Align team priorities with business objectives and transformation roadmap
  • Ensure effective execution, delivery discipline, and continuous improvement across all initiatives

Change Leadership & Adoption

  • Drive cultural adoption of data-driven and AI-enabled ways of working across global teams
  • Promote data and AI literacy across business functions
  • Establish repeatable frameworks and best practices for scaling solutions
  • Measure success through adoption, business outcomes, and realized value
Qualifications

Required Qualifications

  • Bachelor’s degree in Information Technology, Computer Science, or related field
  • 10–15 years of experience in data, analytics, AI, or digital transformation roles
  • Experience working with JD Edwards, Infor, QAD, Salesforce, and enterprise data platforms
  • Proven experience architecting scalable data and AI solutions
  • Demonstrated experience leading and developing high-performing technical teams
  • Strong leadership and cross-functional collaboration skills
  • Strong SQL and data engineering capabilities
  • Familiarity with Python, R, and modern data engineering frameworks
  • Experience with relational, columnar, and NoSQL databases

Additional Information

Tools & Technologies Used

  • ERP Platforms: JD Edwards (JDE), Infor, QAD
  • CRM Platform: Salesforce
  • Data Platforms: Snowflake, AWS
  • Analytics & BI: Qlik
  • AI Platforms: ChatGPT (OpenAI), Claud

Additional Information

  • Must be legally authorized to work in the United States without restriction
  • An applicant must complete a satisfactory background check post-offer of employment.  A criminal conviction will not be an automatic bar to employment.
  • Must be willing and able to pass a post-offer drug screen and physical (if required)
  • Must be 18 years of age or older
  • Equal Opportunity Employer/Veterans/Disability