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Data Governance Manager Jobs in Michigan (NOW HIRING)

... 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 ...

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

Ensure the platform supports data governance, access control, privacy, security, lineage, metadata management, and compliance requirements. * Lead, coach, and develop a team of platform engineers ...

Ensure the platform supports data governance, access control, privacy, security, lineage, metadata management, and compliance requirements. * Lead, coach, and develop a team of platform engineers ...

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 ...

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 ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

A strong understanding of data governance and advising customers on frameworks is critical to this ... Collaborating with project management to plan work for delivery teams and verifying quality ...

A strong understanding of data governance and advising customers on frameworks is critical to this ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

A strong understanding of data governance and advising customers on frameworks is critical to this ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Strong understanding of data architecture principles, data modeling techniques, and data governance ... The company specializes in Business and Management Consulting, AI/ML, Data Analytics ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... data governance and data security policies, and collaborating with business stakeholders to ...

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Data Governance Establish enterprise data governance standards. Define metadata management strategies. Implement data lineage and catalog solutions. Define data quality frameworks and KPIs. Ensure ...

New

As a Manager you can lead the development of data models, support compliance with data governance policies, and collaborate with business stakeholders to translate data requirements into technical ...

As a Manager you can lead the development of data models, support compliance with data governance policies, and collaborate with business stakeholders to translate data requirements into technical ...

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Data Governance Establish enterprise data governance standards. Define metadata management strategies. Implement data lineage and catalog solutions. Define data quality frameworks and KPIs. Ensure ...

New

Showing results 21-40

Data Governance Manager information

See Michigan salary details

$18

$47

$75

How much do data governance manager jobs pay per hour?

As of Aug 20, 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 a data governance manager?

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 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 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.

Is data governance a good career?

Data Governance Managers oversee policies and standards for managing data quality, security, and compliance within organizations. The role requires strong analytical skills, knowledge of data management tools, and often certifications like CDMP or DAMA-DMBOK. It is a growing field with increasing demand due to the importance of data privacy and regulatory requirements.

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 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 August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $99,309 per year, or $47.7 per hour.

Engineering Manager, Data Platform and Governance

Canopy

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


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Job description

We are seeking an Engineering Manager, Data Platform & Governance to lead the development of our data capabilities and governance practices across connected security products and cloud services. This role will be responsible for defining and executing our data strategy, building scalable data platforms and analytics capabilities, and establishing the governance, privacy, and compliance foundations required to support a growing connected-product ecosystem. The ideal candidate combines strong engineering leadership with deep expertise in data architecture, analytics, governance, and cloud technologies.
As part of a fast-moving organization focused on AI-powered vehicle security solutions, this leader will partner closely with Product, Software Engineering, AI/ML, Security, Legal, and our parent company's digital teams to ensure that data is accurate, trusted, secure, and actionable. They will help transform data generated from connected devices, cloud services, customer interactions, and AI systems into insights that drive product innovation, operational excellence, and business growth. This is a highly cross-functional role with significant influence on our data strategy, technology roadmap, compliance posture, and future initiatives.
Responsibilities:
  • Define and execute the company's data platform, analytics, and governance strategy.
  • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows.
  • Establish technical roadmaps, architecture standards, and best practices for data systems and services.
  • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth.
  • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes.
  • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions.
  • Establish data quality, observability, lineage, cataloging, and reliability practices.
  • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams.
  • Develop and maintain enterprise data governance policies, standards, and operating procedures.
  • Define data ownership, stewardship, retention, classification, and lifecycle management processes.
  • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations.
  • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data.
  • Establish auditability, data access controls, and governance processes for AI and analytics workloads.
  • Support security reviews, risk assessments, compliance audits, and customer data inquiries.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines.
  • 3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership.
  • Experience designing and operating modern cloud-based data platforms and data pipelines.
  • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns.
  • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices.
  • Working knowledge of privacy and data protection regulations, including GDPR and CCPA.
  • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making.
  • Strong stakeholder management, communication, and collaboration skills.
  • Proven ability to balance strategic planning with hands-on technical execution.

Preferred Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $123,800 - $173,100
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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