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Data Management Jobs in Michigan (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Maintain engineering data governance standards, revision control, configuration management, and product lifecycle integrity. * Lead and support Engineering Change Requests (ECRs), Engineering Change ...

Maintain engineering data governance standards, revision control, configuration management, and product lifecycle integrity. * Lead and support Engineering Change Requests (ECRs), Engineering Change ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Collaborating with project management to plan work for delivery teams and verifying quality ... Experience setting end-to-end modern data platforms in Azure including architecture/design ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Collaborating with project management to plan work for delivery teams and verifying quality ... Experience setting end-to-end modern data platforms in Azure including architecture/design ...

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Showing results 1-20

Data Management information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do data management jobs pay per year?

As of Jun 25, 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 programs at any age. Many professionals successfully transition into data analysis later in their careers by developing relevant skills and gaining experience with tools like Excel, SQL, and Python.

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.

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, data modeling, and knowledge of data governance and security practices. Familiarity with data management software such as Excel, Tableau, or specialized platforms, along with attention to detail and problem-solving abilities, are also important for success in this field.

What can you do with data management?

Data management involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field use tools like databases and data governance practices to support decision-making, compliance, and efficient operations within organizations.

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 tools, data governance policies, and data quality standards to support business operations and decision-making.

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.

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 cities in Michigan are hiring for Data Management jobs? Cities in Michigan with the most Data Management job openings:
Senior Engineering Data Management Specialist

Senior Engineering Data Management Specialist

General Motors

Warren, MI • On-site

$99K - $135K/yr

Full-time

Posted 24 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 306 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


Job description

Job Description
The Role:
The Senior Engineering Data Management Specialist is responsible for the governance, quality, and usability of engineering data within Mentor Capital and Siemens NX. This role serves as the system data steward and librarian, ensuring engineering libraries, templates, and released data are accurate, consistent, and aligned to defined standards.
The position enables engineering efficiency, design reuse, and release quality by preventing data duplication, enforcing data discipline, and improving cross-system alignment between ECAD and MCAD environments. The role directly supports cost reduction, improved e-FTQ, and warranty prevention by strengthening engineering data integrity across the product lifecycle.
What You'll Do:
Engineering Data Governance
  • Serve as the data steward for Mentor Capital and Siemens NX engineering data
  • Maintain and enforce data standards including naming conventions, attributes, classifications, revisions, and lifecycle states
  • Ensure alignment between ECAD (Capital) and MCAD (NX) data structures and release intent
  • Act as the single point of accountability for engineering data quality within assigned scope

Library and Content Management
  • Create, maintain, and govern approved libraries, templates, symbols, models, and reusable design content
  • Prevent uncontrolled or duplicate content from entering production libraries
  • Manage part status, obsolescence, supersession, and historical traceability
  • Support reuse strategies by enabling engineers to easily find and trust approved content

Data Quality and Release Support
  • Monitor engineering data for completeness, accuracy, and consistency
  • Support release readiness by validating attributes, revisions, and lifecycle states
  • Identify recurring data issues that contribute to rework, plant issues, or warranty concerns
  • Partner with engineering and quality teams to resolve systemic data gaps

Process Enablement and Continuous Improvement
  • Support and improve workflows related to Capital and NX data usage
  • Develop and maintain standard work, job aids, and training materials
  • Serve as a subject matter expert for data-related questions (non-IT support)
  • Lead improvements to data governance models, standards, and cross-functional processes

Your Skills and Abilities (Required Qualifications):
  • Bachelor's degree in engineering, Information Systems, or a related technical field, or equivalent experience
  • Experience working in an engineering data, CAD, or PLM-controlled environment
  • Familiarity with Mentor Capital and/or Siemens NX
  • 5 years of experience in Library/ Data Management
  • 2 years of dedicated experience working with Mentor Capital or Zuken
  • Strong attention to detail and ability to manage complex data structures
  • Ability to work effectively across engineering, manufacturing, and quality teams

What Can Give You a Competitive Edge (Preferred Qualifications):
  • Experience with wire harness or electrical system design data
  • Experience with PLM/PDM systems (e.g., Teamcenter)
  • Background in data governance, configuration management, or library management
  • Experience developing standards, processes, or training materials
  • Demonstrated ability to identify and drive continuous improvement opportunities
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908