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Metadata Manager Jobs in Michigan (NOW HIRING)

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

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 ...

Contributing to governance activities such as metadata management, tagging, and lineage tracking This role balances heads‑down engineering work with collaboration and cross‑functional problem ...

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

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 ...

Curate, organize, document, catalog and overall management of all Detroit Lions digital assets including logging, media ingest, metadata entry, and asset organization. * Maintain all aspects of MAM ...

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Showing results 1-20

Metadata Manager information

See Michigan salary details

$24K

$71.2K

$119.8K

How much do metadata manager jobs pay per year?

As of Jun 10, 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 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.

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 does a metadata manager do?

A metadata manager is responsible for organizing, maintaining, and ensuring the accuracy of metadata, which is data that describes other data within an organization. They often work with data management tools, develop metadata standards, and collaborate with IT and data teams to improve data accessibility and quality.

What are Metadata Managers?

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.
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 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 June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $71,189 per year, or $34.2 per hour.

Other

Posted 6 days ago


Job description


Stefanini Group is hiring!
Stefanini is looking for a Data Product Manager (Dearborn, MI)
For quick apply, please reach out to Navneet Pathak at /
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.
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.
Required Experience 10+ yrs of experience in IT; 4+ yrs in concentration5+ 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 ExperienceExperience 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.
Skills RequiredData Management, 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
Education RequiredBachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field.
Education PreferredMaster's degree in business, Data Science, Analytics, or a related field.
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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