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Data Management Jobs in Michigan (NOW HIRING)

Establish and mature enterprise Master Data Management processes across key domains including Customer, Product, Supplier, Pricing, and Asset data. * Lead enterprise data governance initiatives ...

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 ...

Data Architect

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 Architect

Auburn Hills, MI · On-site +1

$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 Architect

Auburn Hills, MI

$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 Architect

Auburn Hills, MI · On-site

$60.25 - $77.50/hr

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDIGITAL Data ...

Data Architect II

Lansing, MI · On-site

$55 - $60/hr

We are seeking a Senior Enterprise Data Architect to design and implement Business Intelligence and Enterprise Data Management solutions. This role will partner with business and IT stakeholders to ...

Data Architect II

Lansing, MI · On-site

$110 - $170/hr

Experience with Business Intelligence, Data Management, and data integration technologies. * Hands‑on knowledge of SAP BusinessObjects and Oracle Hyperion Essbase. * Strong SQL and data analysis ...

Data Management LOCATION: 9301 Michigan Avenue (Southwest) REPORTS TO: Sr. Assistant Vice President - Adult Services & Regional Director FLSA STATUS: Exempt/Salaried CLASSIFICATION: Full-Time Regular ...

Data Management LOCATION: 9301 Michigan Avenue (Southwest) REPORTS TO: Sr. Assistant Vice President - Adult Services & Regional Director FLSA STATUS: Exempt/Salaried CLASSIFICATION: Full-Time Regular ...

Showing results 21-40

Data Management information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do data management jobs pay per year?

As of Aug 8, 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.

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?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

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:
Infographic showing various Data Management job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.

Senior Director Data Analytics & AI

Venteon

Novi, MI • On-site

Full-time

Re-posted 6 days ago


Job description


Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth, operational excellence, and digital transformation.
Key Responsibilities
  • Define and execute enterprise-wide data, analytics, and AI strategies aligned with business objectives.
  • Develop and lead a multi-year roadmap encompassing MDM, data governance, analytics platforms, and AI/GenAI capabilities.
  • Establish and mature enterprise Master Data Management processes across key domains including Customer, Product, Supplier, Pricing, and Asset data.
  • Lead enterprise data governance initiatives including data quality, stewardship, lineage, metadata management, and compliance standards.
  • Oversee modern data architecture initiatives including data platforms, lakehouse environments, real-time integration, and scalable AI-ready ecosystems.
  • Drive the development and deployment of high-value analytics and AI solutions supporting commercial performance, forecasting, customer insights, predictive capabilities, and operational intelligence.
  • Partner closely with executive leadership, business stakeholders, engineering, and IT teams to identify and deliver data-driven business outcomes.
  • Build, mentor, and lead high-performing global teams across data engineering, analytics, governance, and data science disciplines.
  • Establish scalable operating models and best practices for delivering reusable data products and AI capabilities.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline; advanced degree preferred.
  • 12+ years of progressive leadership experience within enterprise data, analytics, MDM, and AI organizations.
  • Proven success leading enterprise-scale data transformation and Master Data Management initiatives.
  • Deep understanding of data governance, modern data architectures, and enterprise data platforms.
  • Experience delivering analytics and AI solutions that drive measurable business value.
  • Demonstrated success leading global teams and large-scale transformational programs.
  • Experience with MDM technologies, data quality frameworks, metadata management, and AI/ML platforms is highly preferred.
  • Manufacturing, industrial, aftermarket, or asset-intensive industry experience strongly preferred.
  • Executive presence with the ability to influence and collaborate across all levels of the organization.

What Success Looks Like
  • Improved enterprise data quality, governance, and consistency.
  • Increased adoption and measurable business impact from analytics and AI initiatives.
  • Accelerated delivery of scalable data products and AI capabilities.
  • Enhanced commercial performance, operational efficiency, and customer experience through data-driven decision making.

If you are a high performer and would like to work for an equally high performing company and you think the above opportunity is appropriate for you, we invite you to submit your resume in Microsoft Word format to slewis@venteon.com
We treat all resumes with strict confidentiality. We will always contact you first before submitting your resume to our client(s) for review. If you do not receive correspondence, you are not a fit for this position.
At Venteon our talent acquisition team is proud to provide our clients with the most qualified Accounting & Finance, Engineering, IT and Administrative talent in the industry today.