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Data Management Jobs in Michigan (NOW HIRING)

Optimal Inc.

Data Management Specialist

Dearborn, MI · On-site

Job Title Data Management Specialist Position Description: Engineering Data Analytics Specialist - Powertrain Programs. The Engineering Data Analytics Specialist supports Technical Value Management ...

Optimal Inc.

Data Management Specialist

Dearborn, MI · On-site

Job Title Data Management Specialist Position Description: Engineering Data Analytics Specialist - Powertrain Programs. The Engineering Data Analytics Specialist supports Technical Value Management ...

Optimal Inc.

Data Management Specialist

Dearborn, MI · Hybrid

Job Title Data Management Specialist Position Description: Engineering Data Analytics Specialist - Powertrain Programs. The Engineering Data Analytics Specialist supports Technical Value Management ...

Epitec

Data Management Specialist Controls

Dearborn, MI · On-site

$34 - $36/hr

This role supports Technical Value Management (TVM) initiatives across powertrain engineering organizations by providing data analysis, reporting, dashboard development, and project tracking support.

Michigan Farm Bureau

Manager, Data Governance

Lansing, MI · On-site

$111K - $142K/yr

Manager, Data Governance US-MI-Lansing Job ID: 2026-8650 # of Openings: 1 Category: Actuarial Farm ... Work with management and impacted areas to translate corporate business goals into actionable DG ...

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All JobsData Management JobsData Management Jobs in Michigan

Data Management information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do data management jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data management in Michigan is $84,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $109,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data Management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certification regardless of age. Many professionals successfully transition into data analysis later in their careers by gaining relevant skills and experience.

What Is a Data Management Analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

Is data management a good skill?

Data management is a valuable skill for data management professionals, as it involves organizing, storing, and maintaining data to ensure accuracy and accessibility. Proficiency with database tools, data governance, and data quality standards enhances job performance and career prospects in this field.

What are the key skills and qualifications needed to thrive in Data Management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL and Excel, and knowledge of data governance and security practices. Attention to detail, problem-solving abilities, and familiarity with data modeling and cleaning are also important. Certifications such as Certified Data Management Professional (CDMP) can enhance qualifications.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance, and data quality tools, requiring skills in SQL, data modeling, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

More about Data Management jobs
What are the most commonly searched types of Data Management jobs in Michigan? The most popular types of Data Management jobs in Michigan are:
What are popular job titles related to Data Management jobs in Michigan? For Data Management jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Management jobs in Michigan look for? The top searched job categories for Data Management jobs in Michigan are:
What cities in Michigan are hiring for Data Management jobs? Cities in Michigan with the most Data Management job openings:
Data Management jobs near you
Infographic showing various Data Management job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.
Data Management Specialist

Data Management Specialist

Optimal Inc.

Dearborn, MI • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title
Data Management Specialist

Position Description:
Engineering Data Analytics Specialist - Powertrain Programs. The Engineering Data Analytics Specialist supports Technical Value Management (TVM) initiatives across powertrain engineering organizations by providing data analysis, reporting, dashboard development, and project tracking support. The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise, advanced analytical skills, and the ability to transform large datasets into executive-level reporting and business intelligence tools. The individual will work closely with engineering, manufacturing, product development, and program teams to monitor cost-saving initiatives, track implementation progress, and improve reporting efficiency.

Key responsibilities include:
Analyzing engineering and cost-related datasets.
Performing data mining and trend analysis.
Developing and maintaining Power BI dashboards.
Creating executive-level visualizations and reports.
Automating reporting processes.
Tracking cost-saving initiatives and project milestones.
Supporting engineering review meetings and status reporting.
Improving reporting methodologies and data visibility.
Developing standardized metrics and KPI reporting systems.
Maintaining data integrity and validating data accuracy.

Skills Required:
Data Analytics & Reporting
Power BI (Required)
Advanced Microsoft Excel
Data Analysis
Data Mining
Dashboard Development
KPI Reporting
Trend Analysis
Data Modeling
Data Cleansing
Data Validation
Executive Reporting Program & Project Support
Meeting Coordination
Action Item Tracking
Workplan Management
Milestone Tracking
Project Tracking
Cross-Functional Communication Business Intelligence
Data Visualization
Reporting Automation
Quantitative Analysis
Data Integrity Management
Business Insights Development

Skills Preferred:
SQL
Power Query
DAX
SharePoint
Power Automate
AI-Based Reporting Tools
AI Analytics Platforms
Cost Reduction Program Support
Automotive Industry Experience
Powertrain Engineering Support Experience

Experience Required:
3+ years of experience in: Data Analysis, Reporting, Engineering Analytics
Experience supporting: Engineering organizations or Manufacturing organizations or Automotive organizations or Product Development organizations
Experience managing large datasets.
Experience creating executive-level reports and dashboards.
Experience developing reporting metrics and analytics tools.
Experience supporting cross-functional teams and project activities.

Experience Preferred:
Automotive industry experience.
Powertrain engineering support experience.
Experience supporting Technical Value Management (TVM) initiatives.
Experience supporting cost-reduction programs.
Experience with advanced Power BI development.
Experience using Power Query and DAX.
Experience with workflow automation tools.
Experience utilizing AI-driven reporting and analytics solutions.

Education Required:
Bachelor's Degree in Engineering Data Analytics, Information Systems, Computer Science, Industrial Engineering or Related Technical Field

Education Preferred:
Master's degree in Data Analytics, Engineering, Information Systems, Business Analytics, or related field.

Additional Information :
WORK STATUS: HYBRID
Key Success Factors: Strong Power BI dashboard development expertise. Ability to analyze large, complex datasets and present findings to leadership. Strong reporting automation and business intelligence capabilities. Experience supporting engineering and manufacturing organizations. Ability to track multiple projects and cost-saving initiatives simultaneously. Strong communication and organizational skills