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Data Governance Manager Jobs in Michigan (NOW HIRING)

A Data Governance Manager is responsible for establishing and maintaining a robust data governance framework that ensures the accuracy and integrity of the organization's data assets. This role leads ...

The Opportunity As part of the Data Governance team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager ...

Data Governance- Manager

Grand Rapids, MI ยท On-site

$99K - $232K/yr

The Opportunity As part of the Data Governance team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager ...

As a Data Governance Analyst with a leading design and manufacturing company you will work across ... Data usage/data management/data protection including. * Perform data profiling of sources to assess ...

... and manage AI use case intake, classification, tracking, and review across business units, including governance dimensions such as domain, data sensitivity, autonomy level, audience, geography ...

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Data Governance Manager information

See Michigan salary details

$18

$47

$75

How much do data governance manager jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data governance manager 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 the difference between Data Governance Manager vs Data Analyst?

AspectData Governance ManagerData Analyst
Required CredentialsBachelor's degree in Information Management, Data Science, or related fields; certifications like CDMP or DAMA-DMBOKBachelor's degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentOversees data policies, compliance, and data quality; collaborates with IT and managementAnalyzes data sets, creates reports, and provides insights; works with business teams and IT
Employer & Industry UsageCommon in finance, healthcare, and large enterprises focusing on data complianceWidely used across industries for business insights and decision-making

The Data Governance Manager focuses on establishing data policies, ensuring compliance, and managing data quality, while the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong data skills but serve different functions within organizations.

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

To thrive as a Data Governance Manager, you need expertise in data management frameworks, data quality assurance, and regulatory compliance, typically supported by a degree in information management or a related field. Familiarity with data governance tools such as Collibra or Informatica, and certifications like CDMP (Certified Data Management Professional), are often required. Strong leadership, communication, and stakeholder management skills distinguish top performers in this role. These competencies ensure that organizational data is accurate, secure, and effectively leveraged for business value and regulatory adherence.

What are Data Governance Managers?

Data Governance Managers are professionals responsible for developing, implementing, and maintaining an organization's data governance policies and strategies. They ensure data quality, integrity, security, and compliance with relevant regulations. Their work involves collaborating with various departments to establish data standards, oversee data lifecycle management, and address data-related issues. By doing so, they help organizations maximize the value of their data while minimizing risks.

What are some common challenges faced by Data Governance Managers when implementing new policies across an organization?

Data Governance Managers often encounter challenges such as resistance to change from stakeholders, varying data practices across departments, and the need to balance data accessibility with compliance requirements. Building consensus and securing buy-in from leadership and end-users is essential, as is ensuring that policies are clearly communicated and aligned with business goals. Addressing these challenges typically involves strong collaboration, continuous education efforts, and the development of practical, user-friendly governance frameworks.
What are the most commonly searched types of Data Governance jobs in Michigan? The most popular types of Data Governance jobs in Michigan are:
What are popular job titles related to Data Governance Manager jobs in Michigan? For Data Governance Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Governance Manager jobs in Michigan look for? The top searched job categories for Data Governance Manager jobs in Michigan are:
What cities in Michigan are hiring for Data Governance Manager jobs? Cities in Michigan with the most Data Governance Manager job openings:
Infographic showing various Data Governance Manager 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

Strategic Staffing Solutions

Detroit, MI โ€ข Hybrid

Other

Re-posted 7 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