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Master Data Management Manager Jobs in Kansas (NOW HIRING)

PROLIM Global Corporation

IT Data Architect

Topeka, KS · On-site +1

Oversee data collection, master data and databases. * Create models for new data warehouse development and/or changes to existing data stores. * Design and manage data warehouse development and any ...

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 ...

GKN Aerospace Careers

Master Scheduler

Wellington, KS · On-site

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

Victor Sierra Aviation

SIOP Manager

Baldwin, KS · On-site

Improve master data ownership and reduce dependence on spreadsheets, expediting, manual workarounds ... Establish a structured supplier performance management and scorecard process with measurable ...

Victor Sierra Aviation

SIOP Manager

Baldwin City, KS · On-site

Improve master data ownership and reduce dependence on spreadsheets, expediting, manual workarounds ... Establish a structured supplier performance management and scorecard process with measurable ...

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 ...

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 ...

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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 Sep 12, 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.

How much does a master data management manager make?

A Master Data Management Manager typically earns between $90,000 and $140,000 annually, depending on experience, location, and industry. Salaries can increase with certifications in data management tools and leadership skills, and some roles may include bonuses or benefits.

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 a master data management manager?

The average salary of 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.

Manager - Data Platforms

Lenexa, KS • On-site

Truhome Solutions Llc
See more jobs at Truhome Solutions Llcexternal

Full-time

Re-posted 3 days ago

Job description

Summary
TruHome Solutions is seeking a hands-on, technically strong Manager of Data Platforms to lead the foundation that powers our data and analytics capabilities. TruHome provides mortgage origination and servicing solutions to credit unions across the country, and data is central to how we serve our clients. Our platforms power outbound data feeds, operational and analytical reporting, and the insights our internal teams and credit union clients rely on every day.
This role manages a small team and is responsible for both the Data Platform (including the data warehouse, integration pipelines, and a future cloud data platform) and the BI Platform built on Power BI. The manager will run and stabilize the existing SQL Server-based environment while playing a lead role in standing up a new cloud data platform on Databricks and Azure, maturing Power BI as the enterprise BI standard, and expanding both platforms to support additional business areas.
The ideal candidate is a player-coach with depth across data engineering and BI platforms, equally effective leading a team, partnering with business stakeholders, and managing day-to-day delivery. They should be a quick business learner who can navigate the nuances of mortgage origination and servicing and communicate clearly with both technical and non-technical audiences.
Duties & Responsibilities
  • Lead and develop a small team responsible for the Data and BI Platforms; foster a culture of technical excellence, accountability, and continuous learning.
  • Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to member credit unions; ensure reliability, accuracy, and timely delivery.
  • Own and mature the BI platform end-to-end, including Power BI environment administration, semantic model and dataset standards, workspace and capacity governance, report performance, and operational/paginated reporting. Expand its footprint and self-service adoption across TruHome business areas.
  • Help shape and execute on the data and analytics strategy for TruHome, including the design and stand-up of a new cloud data platform on Databricks and Azure.
  • Drive maturity of the enterprise data warehouse by improving data integration, modeling, quality, and documentation, so it can serve as a trusted source for outbound feeds, reporting, and future analytical use cases.
  • Embrace and apply AI capabilities, including AI-assisted development, natural-language analytics (e.g., Databricks Genie), and AI features within the BI platform, to accelerate team productivity and improve data accessibility for business users.
  • Manage the intake, prioritization, and delivery of platform work using Agile/Scrum practices.
  • Serve as a trusted partner to TruHome business leaders and credit union clients. Translate business needs into platform capabilities, communicate progress and tradeoffs clearly, and build credibility through reliable delivery.
  • Support onboarding of new credit union clients by leading the build-out of outbound data pipelines required to integrate with their core and other downstream systems.
  • Support data governance, security, privacy, and regulatory compliance requirements relevant to mortgage servicing and credit union data, partnering with risk, compliance, and information security teams.
  • Manage select vendor relationships and assist with budget planning for tools, licenses, and contractors across the data and BI platforms.

Requirements
Education and Experience Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative or technical field required; Master's degree preferred.
  • 8 to 12 years of progressive experience in data engineering, business intelligence, analytics, or data/BI platform roles, with meaningful exposure across both data platform and BI platform domains.
  • 3 to 5 years of experience leading or managing small technical teams, including hiring, performance management, and team development.
  • Demonstrated experience building out or standing up cloud data platforms, ideally on Azure with Databricks. Equivalent experience on other major cloud data platforms (e.g., Snowflake, AWS, GCP) will be considered if paired with strong Spark fundamentals.
  • Exposure to maturing a BI platform (establishing standards, scaling adoption, improving semantic models and report quality, and enabling self-service) is preferred.
  • Experience in mortgage origination, mortgage servicing, banking, lending, or other financial services data environments highly preferred. Candidates without direct domain experience must clearly demonstrate a track record of quickly learning new business domains.
  • Experience working in Agile/Scrum environments and managing team delivery through structured backlogs and sprints.
Required Knowledge, Skills and Abilities
  • Strong hands-on skills with SQL Server, including SSIS for ETL development and maintenance, stored procedure development, query optimization, and performance tuning.
  • Strong hands-on skills with the modern data stack: Python, PySpark, Spark SQL, and cloud data platform services (Databricks, Azure Data Lake Storage, Azure Data Factory or equivalent orchestration).
  • Solid data modeling skills across multiple paradigms (3rd Normal Form / ODS, dimensional/Kimball-style, and modern lakehouse / medallion patterns), with judgment on when each is appropriate.
  • Good working knowledge of the Power BI platform, including semantic/tabular model design, DAX, workspace and capacity management, dataset governance, and report performance tuning. Able to set technical direction and standards for the BI platform.
  • Familiarity with DevOps / DataOps practices including Git-based source control, CI/CD pipelines (Azure DevOps or GitHub Actions), code review, and environment management.
  • Awareness of data governance, security, and privacy practices relevant to regulated financial services environments.
  • Curiosity about and practical experience applying AI tools in data engineering and BI workflows (e.g., GitHub Copilot, Databricks Assistant/Genie, Power BI Copilot); willingness to experiment, evaluate, and bring forward what works.
  • Excellent written and verbal communication skills, with the ability to translate between technical and business audiences and to communicate confidently with senior leaders and external clients.
  • Effective people leader and strong stakeholder manager. Able to coach a small technical team, set expectations, push back constructively, and build long-term trust.
  • Pragmatic and outcome-oriented; able to balance maintaining a running business with iteratively introducing modern platforms and practices, and to manage competing priorities across operational support, project delivery, and platform modernization.

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