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Director Data Jobs in Michigan (NOW HIRING)

Denso

Director- Data Analytics and AI

Southfield, MI

$181K - $226K/yr

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise wide strategy for ...

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 ...

Denso

Director- Data Analytics and AI

Southfield, MI · On-site

$181K - $226K/yr

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise wide strategy for ...

Ohio Health

The Senior Director of Data Analytics & AI Engineering leads a major function within OhioHealth's technology organization, providing direction through subordinate managers across data engineering ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

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Director Data information

What does a Director of Data do?

A Director of Data oversees an organization's data strategy, ensuring the effective collection, management, and use of data across departments. They lead data teams, set data governance policies, and work to align data initiatives with business goals. Their role includes managing data architecture, ensuring data quality and security, and supporting data-driven decision making. Directors of Data often collaborate with executives and IT teams to drive innovation and improve business outcomes through analytics and data insights.

What is the difference between Director Data vs Data Analyst?

AspectDirector DataData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Computer Science, or related field; often leadership experienceBachelor's degree in related field; certifications like Microsoft Data Analyst or Tableau often preferred
Work EnvironmentStrategic leadership, overseeing data teams, and setting data policiesData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven organizationsCommon across various industries including finance, marketing, and healthcare

The main difference between a Director Data and a Data Analyst lies in their scope and responsibilities. The Director Data focuses on strategic leadership, managing data teams, and setting organizational data policies. In contrast, the Data Analyst handles data collection, analysis, and reporting to support business decisions. Both roles require strong analytical skills, but the Director Data typically has more experience and a broader leadership role.

How does a Director of Data typically collaborate with other departments to drive business objectives?

A Director of Data regularly partners with teams such as marketing, product, finance, and operations to ensure data-driven decision-making across the organization. They help translate business goals into data initiatives, oversee the collection and analysis of relevant data, and present actionable insights to stakeholders. Strong cross-functional collaboration is essential, as the Director often leads data governance initiatives and aligns data strategy with company-wide objectives. This role requires both technical expertise and effective communication skills to bridge gaps between technical teams and non-technical departments.

What are the key skills and qualifications needed to thrive as a Director of Data, and why are they important?

To thrive as a Director of Data, you need deep expertise in data management, analytics, and strategy, supported by an advanced degree in a quantitative field and substantial leadership experience. Proficiency with data platforms (such as SQL, Hadoop, and cloud services), data governance frameworks, and often certifications like CDMP or cloud certifications is expected. Exceptional communication, strategic thinking, and team leadership skills distinguish top performers in this role. These skills ensure effective data-driven decision-making, alignment with business goals, and successful leadership of cross-functional data teams.
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 Director Data jobs in Michigan? For Director Data jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Director Data jobs in Michigan look for? The top searched job categories for Director Data jobs in Michigan are:
What cities in Michigan are hiring for Director Data jobs? Cities in Michigan with the most Director Data job openings:
Director Data jobs near you
Infographic showing various Director Data job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Director- Data Analytics and AI

Director- Data Analytics and AI

Denso

Southfield, MI

$181K - $226K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

DENSO rating

7.4

Company rating: 7.4 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

18th of 44 rated automakers

Job description

Role Overview:

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise wide strategy for data, analytics, and AI and executing to deliver scalable, highimpact AI solutions across North American operations. This role serves as a key enabler of DENSO's AI first, data driven operating model. This role partners closely with technology and business leaders to translate data and AI capabilities into measurable business value while ensuring strong governance, security, and ethical AI practices.

 Essential duties and responsibilities:

  • Define and execute the enterprise data analytics and AI vision aligned with DENSO's digital transformation strategy.
  • Lead development and deployment of advanced analytics, machine learning, and AI use cases.
  • Establish scalable data platforms, analytics products, and AI pipelines in collaboration with cloud, data engineering, and cybersecurity teams.
  • Partner with business and functional leaders to identify high-impact use cases and drive measurable ROI from analytics and AI investments.
  • Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders.
  • Define data governance, model lifecycle management, and responsible AI standards to ensure compliance, security, and trust.
  • Oversee external partnerships with technology vendors, system integrators, and research institutions.
  • Champion data literacy and analytics adoption across the organization through change management and enablement.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; Master's degree preferred.
  • 10+ years of experience in data analytics, AI, or advanced analytics, with at least 5 years in a leadership role.
  • Proven experience delivering Analytics and AI solutions at enterprise scale, preferably in manufacturing, automotive, or industrial environments.
  • Strong understanding of data architecture, cloud platforms, advanced analytics, and AI/ML lifecycle management.
  • Demonstrated ability to translate complex technical concepts into business outcomes for senior executives.
  • Experience leading global or cross-functional teams in a matrixed organization.
  • Strong leadership, communication, and stakeholder management skills.

Preferred Experience:

  • Experience with AI applications in manufacturing, quality inspection, predictive maintenance, or mobility systems.
  • Hands-on familiarity with modern data and AI platforms (cloud-native analytics, AI platforms, and data governance tools).
  • Experience establishing responsible AI, model risk management, and data ethics frameworks.

Benefits Summary: 

  • Medical, Dental, Vision, Prescription Drug plans 
  • 401K with 4% Company Match 
  • Vacation/PTO and 13 paid Holidays  
  • Bonus Program 
  • FSA/HSA and Dependent Care Programs 
  • Company provided Life, Disability, ADD and Business Travel Insurance 
  • Various No Cost Wellness & Chronic Condition Management Programs 
  • Various Optional Insurance programs such as legal, identity theft, critical illness, etc. 
  • Tuition Reimbursement 
  • Career Development and Ongoing Training 
  • Employee Assistance Program 
  • Employee Spotlight and Recognition Program  
  • Volunteer Opportunities 
  • Onsite Fitness Center (vary by location) 
  • Cafeteria and food markets (vary by location) 
  • Onsite Health Clinic and Pharmacy (vary by location) 

Annual Salary: $181,000 - $226,000

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