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Data Analytics Manager Jobs in Michigan (NOW HIRING)

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

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 ...

Wwwinc

Brand Analytics Manager - Merrell

Rockford, MI · On-site

For analytical thinkers who love turning complex data into clear direction, it is a rare chance to ... SKU Management * Lead analytical oversight of SKU productivity, portfolio rationalization, and line ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Michigan

Data Analytics Manager information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do data analytics manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analytics 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 does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Michigan?

The most popular types of Data Analytics jobs in Michigan are:

What are popular job titles related to Data Analytics Manager jobs in Michigan?

For Data Analytics Manager jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Michigan look for?

The top searched job categories for Data Analytics Manager jobs in Michigan are:

What cities in Michigan are hiring for Data Analytics Manager jobs?

Cities in Michigan with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% 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 4 days ago

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.

  • Drive the development and deployment of high-value analytics and AI solutions supporting commercial performance, forecasting, customer insights, predictive capabilities, and operational intelligence.

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.

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