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Master Data Manager Jobs in Kansas (NOW HIRING)

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 ...

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 ...

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:

$59.25 - $73.50/hr

Define strategies for data synchronization, deduplication, and master data management Data Quality & Governance * Establish and enforce data quality frameworks (validation, deduplication, enrichment)

Expertise in Master and Reference Data Management Architecture, Modeling and Implementation Experience in Metadata Management Architecture and Implementation. Experience in Data Quality & Data ...

Solutions Architect - CLM

Kansas City, KS · On-site

$120K - $180K/yr

Architect, oversee, and troubleshoot integrations between CLM and enterprise systems, including P2P, S2P, CRM, ERP, HR, master data, finance, vendor/supplier, customer, document management, and e ...

Showing results 21-40

Master Data Manager information

See Kansas salary details

$27.6K

$86.6K

$153.4K

How much do master data manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for master data 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 manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

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

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

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

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

How much does a master data manager make?

The average salary for a master data manager in the United States ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals with certifications in data management tools and strong analytical skills tend to earn higher salaries.
Infographic showing various Master Data Manager job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $86,638 per year, or $41.7 per hour.

Manager, Data Science & Innovation - Wearable Devices

Colgate-Palmolive Company

Topeka, KS • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Colgate-Palmolive rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Relocation Assistance Offered Within Country
Job Number #174930 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.
Responsibilities:
  • Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms.
  • Oversee end-to-end ML-Ops, model training, and code quality standards to ensure reliable, on-schedule deployment of data products.
  • Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision.
  • Consult on clinical and observational study designs, establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims.
  • Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting.
  • Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.

Required Qualifications:
  • Master's degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis.
  • Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities.
  • Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.

Preferred Qualifications:
  • PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • Domain-specific expertise in developing machine learning models for animal behavior analysis.
  • Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control.
  • Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders.
  • Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting.

Compensation and Benefits
Salary Range $140,000.00 - $160,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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