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Director Data Analytics Sales Jobs in Michigan (NOW HIRING)

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

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 ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

... analytics, and the data platform that supports them; translate that strategy into a 12-24 month ... Direct experience leading data science or ML work in at least one of the following domains ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

... analytics, and the data platform that supports them; translate that strategy into a 12-24 month ... Direct experience leading data science or ML work in at least one of the following domains ...

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site

Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice: Stand ... Partner with Sales and Practices to embed data/AI into client offerings, proposals, and go-to ...

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice: Stand ... Partner with Sales and Practices to embed data/AI into client offerings, proposals, and go-to ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

About The Job Our Director of Data Science won't just analyze data; they'll breathe life into it, transforming intricate datasets into revolutionary insights that chart the course for our products.

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Director Data Analytics Sales information

What does a director of data analytics do?

A director of data analytics oversees the development and implementation of data analysis strategies to support business goals. They lead teams of analysts, manage data projects, and ensure the accuracy and integrity of data insights, often using tools like SQL, Python, or Tableau. This role requires strong leadership, analytical skills, and a deep understanding of data management and visualization techniques.

What is the difference between Director Data Analytics Sales vs Data Analytics Manager?

AspectDirector Data Analytics SalesData Analytics Manager
Required CredentialsBachelor's or Master's in Business, Data Science, or related field; experience in sales and analyticsBachelor's or Master's in Data Science, Statistics, or related field; experience in analytics management
Work EnvironmentStrategic leadership in sales teams, cross-department collaborationTeam management, data analysis, project oversight
Employer & Industry UsageSales-driven organizations, tech, finance, retailData-driven companies, consulting, tech, finance

The main difference is that the Director Data Analytics Sales focuses on leading sales strategies through data insights, while the Data Analytics Manager manages data analysis teams and projects. The director role emphasizes sales growth and strategic planning, whereas the manager role centers on executing data projects and team oversight.

What cities in Michigan are hiring for Director Data Analytics Sales jobs?

Cities in Michigan with the most Director Data Analytics Sales job openings:

Director Data Analytics Sales jobs near you

Senior Director Data Analytics & AI

Venteon

Novi, MI • On-site

Full-time

Re-posted 12 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.

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