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Master Data Governance Jobs in Michigan (NOW HIRING)

TriMas Corporation

Master Data Manager

Bloomfield, MI · On-site

... governance) and coordinate periodic cleansing activities. Tools,Technology & Integration: - Partner with ERP and integration teams to define master data requirements, workflows, and controls within ...

BDO

Data Governance Manager

Grand Rapids, MI · On-site

Seven (7) or more years of experience in data management, data governance, master data management, or data quality, required * Experience implementing, developing, or supporting data teams, analytics ...

Pwc

Data Governance- Manager

Detroit, MI

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Pwc

Data Governance- Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth ...

Kion Group AG

Customer Data Steward

Grand Rapids, MI · On-site

$84K - $124K/yr

The Customer Data Steward plays a critical role in managing customer master data integrity across regions. This position ensures customer data aligns with business rules, supports governance ...

Kiongroup

Customer Data Steward

Grand Rapids, MI · On-site

$84K - $124K/yr

The Customer Data Steward plays a critical role in managing customer master data integrity across regions. This position ensures customer data aligns with business rules, supports governance ...

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Master Data Governance information

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$75

How much do master data governance jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for master data governance in Michigan is $47.74, according to ZipRecruiter salary data. Most workers in this role earn between $35.38 and $58.46 per hour, depending on experience, location, and employer.

What is Master Data Governance?

Master Data Governance refers to the processes, policies, standards, and tools used to ensure the accuracy, consistency, and security of an organization's critical data—often called 'master data.' This includes information about customers, products, suppliers, and other key business entities. Effective master data governance helps organizations avoid data duplication, inconsistencies, and errors, resulting in improved decision-making and operational efficiency. It typically involves collaboration across business units and relies on both technology and strong data stewardship practices.

Will AI replace data governance?

AI can automate certain data governance tasks such as data quality monitoring and policy enforcement, but it cannot fully replace the role of a Master Data Governance professional. Human oversight is essential for setting policies, ensuring compliance, and managing complex data issues that require judgment and contextual understanding.

What does master data governance mean?

Master Data Governance (MDG) is a set of policies, processes, and standards used by data governance professionals to ensure the accuracy, consistency, and security of an organization's critical data assets. It involves defining data ownership, establishing data quality rules, and implementing tools to monitor and maintain data integrity across systems. Effective MDG supports better decision-making and regulatory compliance.

What are the typical daily responsibilities of a professional working in Master Data Governance?

Professionals in Master Data Governance are responsible for maintaining data quality, ensuring compliance with data standards, and coordinating data-related processes across departments. On a daily basis, you may review data entries for accuracy, develop and enforce governance policies, collaborate with IT and business teams to resolve data issues, and support data integration projects. This role often involves monitoring data workflows, preparing reports for stakeholders, and training end-users on data management best practices.

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

AspectMaster Data GovernanceData Analyst
CredentialsData management certifications, knowledge of data governance frameworksStatistics, data analysis, and visualization skills, often with a degree in related fields
Work EnvironmentCollaborative, policy-driven, cross-departmental teamsAnalytical, project-focused, often in business or IT teams
Industry UsageUsed across industries for data quality and complianceUsed for data insights, reporting, and decision-making

Master Data Governance focuses on establishing policies and standards for managing critical data assets, ensuring data quality and compliance. Data Analysts interpret and analyze data to support business decisions. While both roles work with data, Master Data Governance emphasizes data integrity and policy, whereas Data Analysts focus on data insights and reporting.

What are the key skills and qualifications needed to thrive as a Master Data Governance professional, and why are they important?

To thrive as a Master Data Governance professional, you need expertise in data management, data quality principles, and a strong understanding of master data domains, often supported by a degree in information systems or related fields. Familiarity with data governance frameworks, data management tools (like Informatica or SAP MDG), and relevant certifications such as CDMP is typical. Strong analytical thinking, communication, and stakeholder management skills help you collaborate across business units and drive data governance initiatives. These capabilities are crucial for ensuring data consistency, compliance, and supporting effective business decision-making.

Is data governance a good career?

Data governance is a valuable career path that involves managing data quality, compliance, and security within organizations. It requires skills in data management tools, policies, and collaboration across teams, and offers opportunities for advancement in data-driven industries.

Is MDM a good career?

Master Data Management (MDM) is a valuable career path within data governance and data management fields. It involves working with data quality, data integration, and tools like SAP, Informatica, or Collibra, often requiring certifications and strong analytical skills. MDM professionals are in demand as organizations prioritize accurate and consistent data for decision-making.
What are popular job titles related to Master Data Governance jobs in Michigan? For Master Data Governance jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Master Data Governance jobs in Michigan look for? The top searched job categories for Master Data Governance jobs in Michigan are:
Master Data Governance jobs near you
Infographic showing various Master Data Governance job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $99,309 per year, or $47.7 per hour.
Data Governance Manager

Data Governance Manager

Strategic Staffing Solutions

Detroit, MI • Hybrid

Other

Posted 3 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. Data Governance Manager Detroit, MI (Hybrid/Onsite Tues-Thurs) W2 contract role 12 months with potential for contract-to-hire Competitive salary with benefits As we continue expanding the Digital Transformation organizational roles, we're looking to bring on a Data Governance Manager who can help us to implement the Data Governance program. This role will be responsible for implementing and evolving the enterprise governance framework to ensure data is trusted, secure, compliant, and effectively used across business units.

*Need experience implementing a data governance program. Key Accountabilities: Maintain and evolve the enterprise-wide data governance framework, ensuring policies, standards, and processes are current, consistent, and aligned with organizational strategy. Manage steward enterprise data definitions, metadata standards, and quality expectations.

Ensure consistent adoption of governance practices across all business units, domains, and data stewardship teams. Work closely with spoke-level governance leads to align on data definitions, resolve discrepancies, and drive enterprise-wide standardization. Provide definitive guidance on governance practices, serving as the central authority for interpreting policies, processes, and standards.

Support stakeholders in applying governance best practices to enable trusted, high-quality, wellmanaged data. Establish enterprise data quality metrics, thresholds, and monitoring expectations. Oversee issue management processes, ensuring timely resolution and root cause analysis.

Facilitate governance councils, working groups, and cross-functional forums to drive alignment and decision-making. Educate and enable stakeholders on governance roles, responsibilities, and processes. Partner with IT stakeholders to ensure governance tools (e.g., data catalog, metadata management, lineage) support enterprise standards and are used consistently across spokes

Maintain governance documentation repositories and ensure accessibility and version control. Ensure governance practices support regulatory, privacy, and compliance requirements. Identify governance risks and recommend mitigation strategies.

Education & Experience Requirements Bachelor's degree in information management, Data Science, Computer Science, Business, or a related field (Master's degree preferred but not required) 5-8 years of experience in data governance, data management, data quality, metadata management, or related disciplines Experience working within a hubandspoke governance model or other federated data management structures Hands-on experience with enterprise data governance tools (e.g., Azure Purview Collibra, Alation or Similar) Familiarity with data privacy and regulatory frameworks (e.g., GDPR, HIPAA, SOX) Strong understanding of data architecture concepts, including lineage, metadata, master data, and reference data Demonstrated ability to influence stakeholders at all levels without direct authority Experience facilitating governance councils, working groups, or crossfunctional decision-making forums *Beware of scams. S3 never asks for money during its onboarding process

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