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Ai Data Analytics Jobs in Michigan (NOW HIRING)

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI ยท On-site

$59K - $60K/yr

At IBM, AI is part of how we deliver solutions, accelerate development, analyze data, automate business processes, and help clients solve complex business challenges. You'll also develop the ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that ...

The Global Data Insights and Analytics (GDIA) department is looking for qualified individuals who can develop scalable solutions to complex real-world problems using Generative AI, Agentic Workflows ...

The Global Data Insights and Analytics (GDIA) department is looking for qualified individuals who can develop scalable solutions to complex real-world problems using Generative AI, Agentic Workflows ...

AI Governance Operations Analyst Are you looking to be part of a global innovator in materials ... data sensitivity, autonomy level, audience, geography, platform, and regulatory exposure. - Map ...

Showing results 41-60

Ai Data Analytics information

See Michigan salary details

$21

$47

$82

How much do ai data analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai data analytics in Michigan is $47.72, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $54.04 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

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

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

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

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

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

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

Infographic showing various Ai Data Analytics job openings in Michigan as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $99,251 per year, or $47.7 per hour.

AVP, Business Analytics & AI

Amerisure Mutual Insurance Company

Farmington Hills, MI โ€ข Hybrid

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago


Job description

Amerisure creates exceptional value for its partners, policyholders, and employees. As a property and casualty insurance company, Amerisure's promise to our partner agencies and policyholders begins with a comprehensive line of insurance products designed to protect businesses, as well as the health and safety of every employee. With an A.M. Best "A" (Excellent) rating, Amerisure serves mid-sized commercial enterprises focused in construction, manufacturing and healthcare. Ranked as one of the top 100 Property & Casualty companies in the United States, we proudly manage nearly $1 Billion of Direct Written Premium and maintain $1.21 billion in surplus.

Amerisure is currently recruiting for an AVP, Business Analytics & AI that can do a 3-day hybrid approach onsite in our Farmington Hills office. The ideal candidate will also possess the following skill set.

Summary Statement

Enterprise business leader responsible for execution and delivery of the enterprise data, analytics, and AI strategy in partnership with the CIDO and business leaders. Drives measurable business outcomes, builds data- and AI- culture, and governs data and AI for trusted reusable products. This role leads analytics products, data engineering, data governance, and enterprise AI execution including AI portfolio management and AI Operations to support profitable growth and operational efficiency. The AVP partners closely with business and technology leaders to embed trusted, valuedriven data, analytics and AI across the organization.

Essential Tasks/Major Duties

  • Lead, direct, and develop staff in area of responsibility with an emphasis on talent management and succession planning in accordance with the company's strategic direction.
  • Execute the enterprise data, analytics, and AI strategy through roadmap delivery and portfolio management, including intake, prioritization, planning, value tracking, and benefits realization.
  • Partner with business leaders to design, deliver, and embed analytics and AI solutions-including dashboards, models, and AIenabled decision support-driving adoption and measurable business outcomes.
  • Lead analytics product management and AI factory, including lifecycle management, monitoring, drift detection, value tracking, and assessment of AIrelated operational, regulatory, and business risks in compliance with enterprise governance standards.
  • Define and monitor KPIs for adoption, quality, timeliness, and business impact; present insights to senior leadership.
  • Serve as the bridge between business and technology, ensuring successful delivery of datadriven initiatives.
  • Operationalize data governance, privacy, stewardship, and AI risk controls by partnering with Legal, Compliance, and Risk to ensure execution readiness, required reviews, and compliant documentation.
  • Partner with Architecture and technology teams to ensure scalable data architecture, reliable integration and interoperability, security, and effective data lifecycle, retention, and recovery practices supporting continuity and regulatory needs.
  • Guide investments in analytics talent, platforms, and technologies, and oversee vendor and system integrator performance, delivery outcomes, and value realization.
  • Champion enterprise data and AI fluency, driving a datadriven culture through training, communication, and engagement.

Knowledge, Skills & Abilities

  • Bachelor's degree in Data Science, Computer Science, Business, Statistics, or related field required; Master's degree preferred.
  • 15 years of progressive experience in data, analytics, AI, or technologyrelated roles, with increasing responsibility and scope.
  • 7 years of formal leadership experience, including leading crossfunctional teams and, preferably, managers or senior individual contributors.
  • Demonstrated success delivering enterprisescale data, analytics, or AI initiatives that drive measurable business outcomes.
  • Experience operating within P&C insurance, including collaboration with Risk, Compliance, Legal, and Audit stakeholders.
  • Proven ability to partner effectively with business leaders and technology teams to translate strategy into execution, adoption, and realized value.
  • Deep understanding of data architecture, data governance, advanced analytics (AI/ML), and analytics tools.
  • Handson familiarity with Databricks, AWS, Cliz, and integration to core P&C platforms (e.g., Guidewire).
  • Experience operationalizing genAI/agentic AI in regulated environments (prompt engineering and evaluation, RAG/knowledge management, content moderation, cost & latency optimization).
  • Demonstrated success implementing NAIC/NISTaligned AI governance and model risk management.
  • Proven results shipping AI at scale in at least two of: underwriting workbench, claims assistant/triage, pricing experimentation platform, knowledge management for frontline staff preferred

#LI-BR1

Just as we are committed to creating exceptional value for our Partners For Success agencies and policyholders, Amerisure also remains committed to being an employer of choice. We reinforce this commitment by adhering to an Employee Value Proposition that, in part, is provided through a competitive total rewards package. This package includes competitive base pay, performance-based incentive pay, comprehensive health and welfare benefits, a 401(k) savings plan with profit sharing, and generous paid time off programs. We also offer flexible work arrangements to promote work-life balance. Recognized as one of the Best and Brightest Companies to Work For in the Nation and one of Business Insurance magazine's Best Places to Work in Insurance, we provide a workplace that fosters excellence and professional growth. If you are looking for a collaborative and rewarding career, Amerisure is looking for you.

Amerisure Mutual Insurance Company is an Equal Employment Opportunity employer. Amerisure provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (to include sexual orientation and gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable federal, state, or local laws. Amerisure complies with all applicable laws governing nondiscrimination in employment in all locations where the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Amerisure prohibits harassment or discrimination of any kind and is committed to maintaining a workplace free from unlawful harassment or discrimination. Amerisure prohibits retaliation against anyone who reports discrimination, participates in an investigation, or opposes unlawful practices. Any improper interference with an employee's ability to perform their job duties may result in disciplinary action, up to and including termination.