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Metadata Manager Jobs in Michigan (NOW HIRING)

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Drive data governance, metadata management, data quality, and compliance initiatives. * Develop user stories, acceptance criteria, and product backlogs. * Lead Agile ceremonies and coordinate cross ...

... metadata management, data replication, business intelligence, data cleansing and profiling, Data governance and database administration Qualifications Soft Skill Requirements Strong analytical and ...

Must be able to demonstrate a solid background in data modeling, canonical modeling, metadata management, data governance, and data flow analysis. Education Required: * Bachelor degree in Computer ...

Data Architect

East Lansing, MI · On-site

$96K - $130K/yr

Experience with data quality frameworks, metadata management, and lineage. * Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration). * Experience in the ...

IT Data Engineer

Kalamazoo, MI · On-site

$65K - $76K/yr

Understanding of data governance, lineage, and metadata management concepts. * Experience working with structured and semi-structured data (CSV, JSON, APIs). * Ability to troubleshoot data issues ...

Exposure to data governance tools, metadata management systems, or cataloging platforms * Familiarity with business intelligence/analytics concepts and data workflows * Basic knowledge of artificial ...

Showing results 21-40

Metadata Manager information

See Michigan salary details

$24K

$71.2K

$119.8K

How much do metadata manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for metadata manager in Michigan is $71,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $101,500.00 per year, depending on experience, location, and employer.

What is a metadata manager?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.

How does a metadata manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

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

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

What are the most commonly searched types of Metadata jobs in Michigan?

The most popular types of Metadata jobs in Michigan are:

What are popular job titles related to Metadata Manager jobs in Michigan?

For Metadata Manager jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Metadata Manager jobs in Michigan look for?

The top searched job categories for Metadata Manager jobs in Michigan are:

What cities in Michigan are hiring for Metadata Manager jobs?

Cities in Michigan with the most Metadata Manager job openings:

Infographic showing various Metadata 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 $71,189 per year, or $34.2 per hour.

Senior Data Product Manager

Saanvi Technologies

Dearborn, MI • On-site

$116K - $153K/yr

Contractor

Re-posted 16 days ago


Job description

Senior Data Product Manager

Dearborn, MI( Hybrid 4days onsite 1day remote)

W2

Position Description:

We are seeking a Data Product Manager to define, develop, and manage data products that enable business insights, operational efficiency, and data-driven decision-making. The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver scalable, high-quality data solutions aligned with organizational goals. Required Qualifications * Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field. * 5+ years of Product Management, Data Management, Business Intelligence, Analytics, or related experience. * Strong understanding of data warehousing, data modeling, ETL/ELT processes, and cloud data platforms. * Experience working with Agile methodologies and product management frameworks. * Ability to translate complex technical concepts into business value. * Strong stakeholder management, communication, and leadership skills. * Experience defining KPIs, product metrics, and business cases. Preferred Qualifications * Master’s degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience with data governance, master data management, and data catalog solutions. * Experience leading enterprise-scale data transformation initiatives. Technical Skills * Data Product Management * Data Warehousing & Data Lakes * Data Modeling * SQL & Analytics * Data Governance & Quality * Cloud Data Platforms * Agile/Scrum * KPI & Metrics Development * API and Data Services Management * Stakeholder Management Success Metrics * Data product adoption and user satisfaction * Data quality and reliability improvements * Reduction in data delivery lead times * Business value generated through analytics and insights * Stakeholder satisfaction and engagement * Achievement of roadmap milestones and product objectives Typical Data Products * Enterprise data platforms * Customer 360 solutions * Product analytics datasets * Operational dashboards and reporting systems * Machine learning feature stores * Data APIs and self-service analytics platforms This description can be tailored further for specific industries such as automotive, healthcare, finance, retail, or manufacturing. Given your background in product lifecycle management and 3DX initiatives, I can also create a Data Product Manager job description focused on automotive digital engineering, PLM, and software-defined vehicle programs.

Skills Required:

Data Management

Skills Preferred:

Product Management

Experience Required:

Specialist Exp.: 10+ yrs in IT; 4+ yrs in concentration

Education Required:

Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

Hybrid Role Onsite 4 days a week Key Responsibilities * Define and own the vision, strategy, roadmap, and lifecycle of data products. * Partner with business stakeholders to understand data needs and translate them into product requirements. * Collaborate with data engineers, architects, analysts, and data scientists to design and deliver data products and platforms. * Prioritize features, enhancements, and technical investments based on business value and customer impact. * Establish and track key performance indicators (KPIs) for data product adoption, quality, and business outcomes. * Drive data governance, metadata management, data quality, and compliance initiatives. * Develop user stories, acceptance criteria, and product backlogs. * Lead Agile ceremonies and coordinate cross-functional teams to ensure timely delivery. * Gather feedback from users and stakeholders to continuously improve data products. * Communicate product strategy, progress, and outcomes to leadership and stakeholders. * Ensure data products support scalability, security, reliability, and regulatory requirements.

Saanvi Technologies logo

About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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