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Data Manager Jobs in Detroit, MI (NOW HIRING)

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

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 ...

Manage configuration, patching, upgrades, and troubleshooting for Axway Secure Transport (ST), ensuring secure, reliable file transfer for clinical data exchange with CROs, labs, and regulatory ...

Data Architect with MDM

Auburn Hills, MI · On-site

$60.25 - $77.50/hr

This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management ...

Data Modeler

Sterling Heights, MI · Remote

$51 - $66/hr

Bachelor's degree in Data Management, Data Science, Math, Statistics, or a related discipline, or equivalent experience. * Strong knowledge of data modeling concepts, including ERDs, normalization ...

Define, document, and maintain all data definitions, manage data dictionary, data sources, business meaning and usage of information. * Recognize and resolve conflicts between models, ensuring that ...

Data Architect Specialist

Dearborn, MI · On-site

$58.50 - $75.25/hr

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 ...

Data Scientist

Sterling Heights, MI · On-site

$50 - $58/hr

Bachelor's Degree in Data Management, Data Science, Math, Statistics or equivalent Education Preferred: Master's Degree in mathematics, statistics, business, engineering, physical/applied sciences ...

Showing results 41-60

Data Manager information

See Detroit, MI salary details

$30.7K

$96.2K

$170.3K

How much do data manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data manager in Detroit, MI is $96,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,200.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.

What are the most commonly searched types of Data jobs in Detroit, MI?

The most popular types of Data jobs in Detroit, MI are:

What are popular job titles related to Data Manager jobs in Detroit, MI?

For Data Manager jobs in Detroit, MI, the most frequently searched job titles are:

What cities near Detroit, MI are hiring for Data Manager jobs?

Cities near Detroit, MI with the most Data Manager job openings:

Infographic showing various Data Manager job openings in Detroit, MI as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $88,887 per year, or $42.7 per hour.

Data Architect (Remote)

Delan Associates, Inc

Auburn Hills, MI • Remote

$65.25 - $84/hr

Full-time

Re-posted 9 days ago


Job description

Position Description

The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required.

General

Must be self-motivated and able to work independently while consistently meeting deadlines.

Strong business and technical verbal and written communication skills.

Experience creating metrics and dashboard analytics.

Strong working knowledge of different analysis tools and techniques.

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects.

Strong SQL skills.

Functions Performed

This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position.

General Functions/Responsibilities

Architect and design business intelligence solutions for accessing and analyzing data and metadata.

Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures.

Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques.

Experience architecting and developing database solutions using both OLAP and OLTP technologies.

Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC).

Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates.

Develop and maintain technical documentation.

Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.