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Master Data Management Manager Jobs in Ohio (NOW HIRING)

CareSource

AVP, Data Management

Dayton, OH · On-site +1

They serve as the enterprise owner for a modern data platform strategy, including cloud data platforms, data movement, integration architecture, master data management, operational excellence, and ...

CareSource

AVP, Data Management

Dayton, OH · On-site

$150 - $300/hr

They serve as the enterprise owner for a modern data platform strategy, including cloud data platforms, data movement, integration architecture, master data management, operational excellence, and ...

Corporate Ladder

Master Data Specialist

Kent, OH

Master Data Specialist Join a well-established, multi-division industry leader with a strong ... Manage data for acquisitions, migrations, and multi-division integrations. * Build and maintain ...

Copeland

Master Material Data Lead

Sidney, OH · Hybrid

If you are a Materials Data Management, Supply Chain, or Operations professional looking for an ... Establish and maintain material master data standards, policies, and validation rules to ensure ...

CYNET SYSTEMS

SAP Vendor Master Data Consultant

Maumee, OH · On-site

$75 - $80/hr

Minimum 7+ years of experience in SAP master data management with a focus on Vendor Master. * Deep knowledge of SAP Finance modules (FI-AP) and their integration with Procurement (MM). * Proven track ...

BakerHostetler

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.

BakerHostetler

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.

BakerHostetler

Data Solutions Engineer

Columbus, OH

$110K - $132K/yr

Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.

BakerHostetler

Data Solutions Engineer

Cincinnati, OH

$111K - $134K/yr

Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.

Pwc

Data Strategy-Manager

Cincinnati, OH · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

Pwc

Data Strategy-Manager

Cleveland, OH · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

Pwc

Data Strategy-Manager

Columbus, OH · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

Quanex

Manager, Data Governance

Akron, OH · On-site

Bachelor's degree in Engineering, Information Systems, Data Management, or a related field * 7+ years of experience in data management, master data, or data governance roles * Hands-on experience ...

Quanex

Manager, Data Governance

Akron, OH

Bachelor's degree in Engineering, Information Systems, Data Management, or a related field * 7+ years of experience in data management, master data, or data governance roles * Hands-on experience ...

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Showing results 41-60

All JobsMaster Data Management JobsMaster Data Management Manager JobsMaster Data Management Manager Jobs in Ohio

Master Data Management Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

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

As of Aug 15, 2026, the average yearly pay for master data management manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

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 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.

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.

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.

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 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 are the most commonly searched types of Master Data Management jobs in Ohio?

The most popular types of Master Data Management jobs in Ohio are:

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

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

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

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

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

Cities in Ohio 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 Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

AVP, Data Management

CareSource

Dayton, OH • On-site, Remote

Full-time

Posted 11 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

204th of 308 rated insurance

Job description

Job Summary:
The Associate Vice President, Data Management is a senior technology executive responsible for the strategy, architecture, engineering, integration, quality, and operational management of enterprise data platforms. This leader ensures that the data ecosystem is scalable, secure, reliable, and capable of supporting analytics, artificial intelligence, operational reporting, regulatory compliance, and business transformation initiatives. They serve as the enterprise owner for a modern data platform strategy, including cloud data platforms, data movement, integration architecture, master data management, operational excellence, and data reliability. The AVP partners closely with Data Strategy & Governance, Data & AI Solutions, Enterprise Architecture, Clinical Operations, Finance, and Technology leaders to ensure the enterprise data foundation enables business outcomes while maintaining appropriate controls, performance, and scalability.
Essential Functions:
  • Define and execute the enterprise data platform strategy and multi-year technology roadmap.
  • Establish architecture standards, design principles, and engineering practices supporting enterprise data initiatives.
  • Lead modernization efforts across data platforms, integration technologies, and operational processes.
  • Evaluate emerging technologies and industry trends to continuously improve enterprise data capabilities.
  • Align data platform investments with organizational priorities, technology strategy, and business objectives.
  • Act as executive sponsor for major enterprise data transformation initiatives.
  • Lead the creation and governance of enterprise data architecture standards and reference architectures.
  • Establish target-state architecture supporting operational reporting, advanced analytics, AI, interoperability, and regulatory requirements.
  • Define canonical data models, integration patterns, and enterprise information architecture.
  • Partner with Enterprise Architecture to align data strategy with broader application and infrastructure roadmaps.
  • Oversee metadata-driven architecture, data lineage, and data lifecycle management practices.
  • Drive adoption of modern architectural patterns including lakehouse, event-driven, and domain-oriented data architectures.
  • Provide executive leadership for enterprise data engineering teams.
  • Oversee design, development, and optimization of scalable ETL/ELT pipelines and data products.
  • Ensure engineering delivery practices support reliability, performance, maintainability, and reusability.
  • Champion automation, DevOps, and DataOps capabilities across the organization.
  • Establish engineering standards, code quality practices, CI/CD frameworks, and operational controls.
  • Lead platform optimization efforts to improve performance, scalability, and cost efficiency.
  • Own enterprise integration strategy across clinical, operational, financial, and third-party systems.
  • Ensure integration solutions align with enterprise standards, regulatory requirements, and business objectives.
  • Partner with application and infrastructure teams to streamline system connectivity and data flow.
  • Lead large-scale migration and consolidation initiatives during mergers, acquisitions, or platform modernization efforts.
  • Establish operational governance and performance management practices for data platforms.
  • Ensure platform availability, reliability, resiliency, and service performance meet defined SLAs.
  • Lead enterprise data quality monitoring, remediation, and continuous improvement efforts.
  • Develop operational metrics, KPIs, dashboards, and reporting frameworks to measure platform health and business value.
  • Oversee capacity planning, incident management, root-cause analysis, and problem resolution processes.
  • Partner with Data Strategy & Governance leadership to operationalize data quality standards and stewardship practices.
  • Ensure appropriate security, access controls, disaster recovery, and risk management processes are in place.
  • Build and lead high-performing teams including directors, managers, architects, engineers, and operations professionals.
  • Foster a culture of accountability, innovation, operational excellence, and continuous improvement.
  • Develop leadership talent and succession planning within the organization.
  • Establish organizational priorities, objectives, and performance expectations.
  • Lead vendor management, contract negotiations, and strategic technology partnerships.
  • Manage budgets for personnel, infrastructure, licensing, and external services.
  • Perform any other job related duties as requested.

Education and Experience:
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field required
  • Master's degree preferred
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Twelve (12) years of progressive experience in data management, data architecture, data engineering, or platform engineering required
  • Five (5) years of leadership experience managing large-scale technology organizations required
  • Experience leading enterprise data platforms supporting analytics, operational reporting, and AI initiatives required
  • Experience establishing and scaling operational practices for mission-critical data platforms required
  • Experience leading cloud-based data modernization initiatives required
Competencies, Knowledge and Skills:
  • Familiarity with healthcare payer industry strongly preferred
  • Knowledge of Databricks, Azure, Snowflake, or comparable modern cloud data platforms
  • Familiarity with data mesh, domain-driven architecture, and modern DataOps practices
  • Familiarity with healthcare interoperability standards including FHIR, HL7, EDI, and related healthcare data exchanges
  • Ability to support AI/ML platforms and large-scale enterprise analytics environments
  • Skilled with master data management, metadata management, and data observability solutions
Licensure and Certification:
  • None
Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Travel is not typically required

Compensation range $150,000-$300,000. CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Energize and Inspire the Organization
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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