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Data Manager Jobs in Michigan (NOW HIRING)

Data Engineer

Sterling Heights, MI · On-site

$107K - $128K/yr

Collaborate closely with the Business Analyst and IT AI & Data Manager to understand reporting and analytics requirements, translating them into efficient, well-documented data solutions. * Design ...

Data Engineer

Sterling Heights, MI · On-site

$106K - $128K/yr

Collaborate closely with the Business Analyst and IT AI & Data Manager to understand reporting and analytics requirements, translating them into efficient, well-documented data solutions. * Design ...

New

Cycle Counter

Kalamazoo, MI

$14.25 - $17.25/hr

Provide the Master Data Manager with the data collected from the cycle counts. * Assist Master Data Manager in the root cause analysis of inventory inaccuracies. * Perform month-end cycle counting ...

AI Data Engineer - Manager

Detroit, MI

$113K - $136K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

Database Manager Location: Detroit, MI Duration: 12+ Months * Experience in SQL Server. * Experience in Database Operations . * Experience in Database Analysis . * Identify Database Issues & Analysis.

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$27K

$84.7K

$149.9K

How much do data manager jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data manager 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 is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in database management, data analysis, and certifications like CDMP or CBIP tend to earn higher salaries.

What does a data manager work?

A data manager is responsible for organizing, maintaining, and ensuring the accuracy and security of data within an organization. They often oversee data collection processes, implement data management systems, and use tools like databases and data analysis software. Strong attention to detail and knowledge of data governance are essential for this role.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

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.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications, regardless of age.

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 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 Michigan? The most popular types of Data jobs in Michigan are:
What are popular job titles related to Data Manager jobs in Michigan? For Data Manager jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Manager jobs? Cities in Michigan with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Michigan as of June 2026, with employment types broken down into 86% Full Time, 5% Part Time, 2% Temporary, and 7% Contract. Highlights an 95% In-person, 2% Hybrid, and 3% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.
Manager, Customer Data, Analytics & Tools

Manager, Customer Data, Analytics & Tools

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 13 days ago


Job description

Job Description
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Our Marketing, Sales & Service organization advances the Ford reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears and voice of Ford.
In this position...
  • As a Manager in the Customer Data, Analysis & Tools group, you will do more than just "pull data" - you will be a champion for our team's insights. You will sit at the intersection of complex analytics and strategic decision-making, helping Ford's leadership understand the "so what" behind our market segmentation map and extensive customer data stack.
  • We are looking for a dedicated, curious, and outcome-oriented professional who is proficient in data tools but excels at storytelling. You will be a key partner, ensuring our enterprise-wide customer framework is not only technically sound but also clearly understood and utilized across Corporate Strategy, Product Development, General Management, and Marketing.
  • This hybrid Dearborn, MI based position requires a detail-oriented, creative technologist, comfortable working in a highly collaborative environment, and able to work with a variety of internal and external clients and vendors.

Responsibilities
What you'll do...
  • Lead Analytical Workstreams: Manage the full data lifecycle - from defining the business question to data hygiene and executing cluster/segmentation models. Specific examples include:
    • Executing complex analysis of survey data.
    • Integrating research findings with desk research sources, including but not limited to the New Vehicle Customer Survey (NVCS), S&P, and Ford internal customer data (Customer 360 / GPS).
    • Democratizing customer data by creating dashboards to share findings.
    • Developing customer segmentation models and survey screeners.
    • Managing both company-sponsored and syndicated research data.
    • Managing relationships with research and data vendors.
  • Extract the "So What": Transform complex market research and syndicated data (NVCS, S&P, GPS) into compelling narratives that drive action.
    • Actively engage with internal customers (Strategy, PD, Marketing) to ensure they understand how to use our tools and data to make evidence-based decisions.
  • Create Compelling Deliverables: Design high-quality presentation materials and dashboards (Power BI) that distill analytical journeys into clear stories for executive audiences.
  • Collaborate Globally: Support teams in domestic and international markets (China, Europe, IMG), ensuring their exploratory needs are met by our analytical frameworks.

Qualifications
You'll have...
  • Bachelor's degree in a quantitative field (Statistics, Economics, Business Analytics, Engineering, or related).
  • Experience: 5+ years of experience in market research, data science, or advanced analytics, preferably within a product planning or consumer insights environment.
  • Technical Proficiency:
    • 2+ years of experience with SAS or other statistical analytic software (e.g. SPSS, R, Python) with a willingness to learn and work in the SAS software environment.
    • 1+ years of experience using Structured Query Language (SQL), or experience in a cloud computing environment (e.g. Google Cloud Platform).
    • Familiarity with data visualization software (i.e. Power BI).
  • Analytical Communication: Demonstrated ability to translate statistical results into "plain English" for non-technical stakeholders.
  • Ownership Mindset: A high degree of ownership and a "self-starter" attitude; someone who takes pride in their work and is dependable when navigating critical project milestones.

Even better, you may have...
  • Master's degree (MBA or MS in a quantitative field).
  • Storytelling Expertise: Advanced experience crafting visual content and engaging presentations for leadership.
  • Strategic Acumen: Knowledge of the automotive industry and/or experience with customer segmentation in complex industries.
  • Problem Solving: Strong marketing business acumen with experience applying statistical analytic techniques to solve business problems.
  • Market Research: Familiarity with quantitative market research principles and practices.
  • Technical Depth: Proficiency in data science programming languages (e.g., Python, R, SQL) and multivariate statistics (regression, factor analysis, etc.). Familiarity with SAS is a plus. Key competencies include:
    • Data Manipulation: Expertise in cleaning, merging, and preparing large datasets for analysis (e.g., efficient use of SAS DATA steps or Python/Pandas).
    • Reporting & Visualization: Ability to automate the delivery of insights and format professional reports (e.g., leveraging SAS ODS, Power BI, or similar).
    • Automation & Efficiency: Experience building modular, reusable code and automation scripts to streamline workflows (e.g., SAS Macros or custom functions/libraries).
    • Statistical Modeling: Hands-on experience with model development and scoring using statistical procedures (e.g., SAS/STAT, Scikit-learn, or similar)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

This position is leadership level 6 and ranges from $132,800-$250,800.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/LL6
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid
#LI-MK2

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982