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Sr Director Data Analytics Jobs in Michigan (NOW HIRING)

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 ...

... analytics, and the data platform that supports them; translate that strategy into a 12-24 month ... senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool ...

... analytics, and the data platform that supports them; translate that strategy into a 12-24 month ... senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool ...

Establish a multi-year roadmap for data architecture, analytics, business intelligence, governance ... Serve as the senior data advisor to the CTO, executive leadership, and business stakeholders.

The Senior Director, Sales & Service is responsible for strategic leadership, revenue growth, and ... Demonstrated ability to leverage data, analytics, and technology to improve performance and drive ...

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

Senior Data Analyst Who we are... We are a team of scientists, engineers, technicians, and ... Build analytics and dashboards using data from MasterControl, SharePoint, and other internal ...

Sr Data Analyst

Midland, MI · On-site

$73K - $93K/yr

... analytics solutions to empower informed decision-making across the organization. Key ... Additionally, the Senior Data Analyst serves as a subject matter authority for three or more ...

The Senior Director, Sales & Service is responsible for strategic leadership, revenue growth, and ... Demonstrated ability to leverage data, analytics, and technology to improve performance and drive ...

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Sr Director Data Analytics information

What does a Sr Director Data Analytics do?

A Sr Director of Data Analytics leads an organization's data analytics strategy and oversees large teams responsible for collecting, analyzing, and interpreting complex data to support business decision-making. They collaborate with other executives to align analytics initiatives with business goals, ensure data integrity, and implement advanced tools and technologies. This role involves managing budgets, mentoring analytics professionals, and communicating key insights to stakeholders to drive organizational success.

What are the key skills and qualifications needed to thrive as a Sr Director Data Analytics?

To thrive as a Sr Director Data Analytics, you need advanced expertise in data analysis, statistical modeling, and data strategy, typically supported by a degree in a quantitative field and significant leadership experience. Familiarity with data visualization tools (like Tableau or Power BI), analytics platforms (such as SQL, Python, R), and data governance frameworks is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic thinking, exceptional communication, and the ability to influence and lead cross-functional teams are vital soft skills. These capabilities ensure effective data-driven decision-making, foster innovation, and drive organizational success.

What are some common challenges faced by a Sr Director Data Analytics, and how can they be addressed?

A Sr Director of Data Analytics often faces challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and governance. Balancing the need for quick insights with rigorous data validation, as well as fostering a data-driven culture across departments, can be complex. These challenges can be addressed by establishing clear communication channels, setting robust data governance policies, and continuously upskilling the analytics team to adapt to evolving technologies and business needs.

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

AspectSr Director Data AnalyticsData Analytics Manager
ResponsibilitiesOversees multiple teams, sets strategic analytics goals, and influences company-wide data initiatives.Manages analytics projects, leads a team of analysts, and ensures project delivery.
Required CredentialsBachelor’s or Master’s in Data Science, Analytics, or related; extensive experience in data leadership roles.Bachelor’s or Master’s in relevant fields; experience in data analysis and team management.
Work EnvironmentStrategic, cross-departmental, executive-level collaboration.Operational, project-focused, team management within analytics teams.

The main difference between a Sr Director Data Analytics and a Data Analytics Manager lies in scope and strategic influence. The Sr Director typically oversees multiple teams, sets long-term data strategies, and works closely with executive leadership. In contrast, the Data Analytics Manager focuses on managing projects and day-to-day team operations. Both roles require strong analytical credentials, but the Sr Director’s role is more strategic and organization-wide.

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

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

Infographic showing various Sr Director Data Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Director Data Analytics & AI

Novi, MI • On-site

Venteon
Recruiting and Staffing Services • 201 - 500 employees

Full-time

Re-posted 22 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.