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Volunteer Insurance Data Analytics Jobs in Michigan

Various Optional Insurance programs such as legal, identity theft, critical illness, etc. * Tuition ... Volunteer Opportunities * Onsite Fitness Center (vary by location) * Cafeteria and food markets ...

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

Bachelor's degree in Accounting, Finance, Data Analytics, Business Analytics, or a related field ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

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Bachelor's degree in Accounting, Finance, Data Analytics, Business Analytics, or a related field ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

New

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Actively shapes our company culture (e.g., participating in employee resource groups, volunteering ...

Health Insurance or Healthcare industry preferred. Power BI. Milliman MedInsight. Claims data analytics. Experience with Epic preferred. Certifications/Licensures Required: Must meet or exceed core ...

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Volunteer Insurance Data Analytics information

What is the difference between Volunteer Insurance Data Analytics vs Insurance Data Analyst?

AspectVolunteer Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsRelevant certifications, data analysis skills, insurance knowledgeDegree in statistics, data science, or related field; certifications preferred
Work EnvironmentNon-profit, volunteer-based, flexible hoursCorporate insurance companies, structured office settings
Employer & Industry UsageNon-profit organizations, insurance charitiesInsurance firms, financial institutions
Common Search & ComparisonVolunteer Insurance Data Analytics vs Insurance Data Analyst

Volunteer Insurance Data Analytics focuses on analyzing insurance data within volunteer or non-profit contexts, often with flexible or part-time roles. Insurance Data Analysts work in corporate settings, handling large datasets to inform business decisions. Both roles require similar analytical skills and insurance knowledge but differ mainly in work environment and employment type.

What are the most commonly searched types of Insurance Data Analytics jobs in Michigan? The most popular types of Insurance Data Analytics jobs in Michigan are:
What are popular job titles related to Volunteer Insurance Data Analytics jobs in Michigan? For Volunteer Insurance Data Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Volunteer Insurance Data Analytics jobs in Michigan look for? The top searched job categories for Volunteer Insurance Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Volunteer Insurance Data Analytics jobs? Cities in Michigan with the most Volunteer Insurance Data Analytics job openings:

Director- Data Analytics and AI

Denso

Southfield, MI • On-site

$181K - $226K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


DENSO rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

15th 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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