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Executive Insurance Data Analytics Jobs in Detroit, MI

Deloitte

M&A Data Analytics Manager

Detroit, MI

  • Medical

  • Vision

  • Life

Experience presenting recommendations to senior executive stakeholders * Master of Business ... Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ...

Strategic Staffing Solutions

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

... and decision analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality Executive-level communication and presentation skills Experience ...

Apidel Technologies

Lead-Customer Analytics

Troy, MI · On-site

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 ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

Overview Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a ...

Expleo

Aftersales 12V Technical & Data Specialist

Troy, MI · On-site

$65K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Facilitate technical reviews, working sessions, and executive-level presentations. Data Analytics ... Insurance and Short / Long term disability insurance, a host of voluntary plans including legal ...

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Showing results 21-40

All JobsInsurance Data Analytics JobsExecutive Insurance Data Analytics JobsExecutive Insurance Data Analytics Jobs in Detroit, MI

Executive Insurance Data Analytics information

See Detroit, MI salary details

$26.2K

$92.6K

$182.2K

How much do executive insurance data analytics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for executive insurance data analytics in Detroit, MI is $92,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $119,300.00 per year, depending on experience, location, and employer.

What is an executive insurance data analytics?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.

How does an executive insurance data analytics typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an executive insurance data analytics, and why are they important?

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

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

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

What are the most commonly searched types of Insurance Data Analytics jobs in Detroit, MI?

The most popular types of Insurance Data Analytics jobs in Detroit, MI are:

Executive Insurance Data Analytics jobs near you
Infographic showing various Executive Insurance Data Analytics job openings in Detroit, MI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,613 per year, or $44.5 per hour.

Director, FCSD Data Analytics and Business Intelligence

Ford Motor Company

Allen Park, MI • On-site

Full-time

Posted 23 days ago

Job description


In this role, you will lead the strategic integration of several key functions-including data strategy, business intelligence, reporting, and customer experience analytics-into a unified, global team comprising both internal employees and external partners. Operating as a proactive service function, your organization will work in partnership with FCSD's business line leaders to directly support and accelerate their business results. This role is not about maintaining legacy processes or acting as a reactive "data vendor" that extracts raw files and distributes spreadsheets. Instead, you are tasked with architecting a modern, AI-first insights engine. You will build a highly proactive team that pushes our business leaders on their strategic thinking, challenges status-quo assumptions with deep, diagnostic and predictive analytics, and unlocks the critical insights needed to drive our business transformation.
Responsibilities
1. Future-State Operating Model & Resource Integration
  • Design the Future Organization: Integrate diverse reporting and data/analytics teams into a global structure of 30+ professionals.
  • Orchestrate the Employee-Vendor Ecosystem: Efficiently manage a blended team of internal talent and external vendors. Ensure our partners effectively "run the railroads" so that internal teams can focus on high-value strategy and proactive insight generation.
  • Lead Cultural and Skill Transformation: Have a mindset of proactive, strategic advisory partner to FCSD business leaders, enabling the team to work seamlessly in modern, cloud-native, and AI-first environments.

2. Proactive Business Intelligence, Insights & Service Delivery
  • Support Business Line Results: Position the Data Analytics and Business Intelligence team as a premier service function, collaborating intimately with FCSD business line leaders to drive EBIT expansion and better operational execution.
  • Challenge the Status Quo: Shift the division away from, manual spreadsheet-sharing toward dynamic, predictive business intelligence. Empower your team to synthesize complex datasets and deliver sharp, actionable insights that proactively shape future business strategies.
  • Establish Dynamic Enterprise KPIs: Oversee the development and automation of next-generation performance metrics, utilizing AI-driven visualization to track and predict customer pay service, leads, wholesale, parts supply & logistic, network performance.
  • Own the Semantic Layer and Metric Governance: Reinforce centralized Business Rules to eliminate conflicting data across business units, ensuring a single version of truth.

3. Integrated Customer & Dealer Data Strategy
  • Consolidate Dealer & CX Data: Evolve the customer and dealer lifecycle by bringing Dealer Management System (DMS) datasets and Customer Experience (CX) survey metrics into a single, unified data strategy.
  • Synthesize Voice of Customer (VoC) and industry data: Build cohesive feedback loops that make customer and dealer sentiment and industry benchmark insights highly visible and actionable from executive leadership to the dealership floor.
  • Continue Leadership in Data Integration: Define the long-term vision for dealer-partner data sharing, integration, and security, ensuring high-integrity, compliant pipelines feed the team's advanced analytics engines.

4. AI-First Analytics & Modern Tech Stack Evolution
  • Establish an AI-First Culture: Leverage AI to automate routine reporting, accelerate insight generation, and perform diagnostic modeling at scale.
  • Partner with Central Ford Tech teams: Collaborate closely with Ford's centralized data science and Enterprise Technology organizations to transition FCSD's data assets from legacy environments into modern, cloud-native architectures

Qualifications
Required Skills and Capabilities
  • Transformational Leadership & Vision: Exceptional capability to lead global, cross-functional teams through change, while maintaining a high-performing service identity.
  • AI-First Technical Vision: A forward-looking leader with a strong conceptual grasp of generative AI, large language models, automated machine learning, next-generation visualization platforms, and modern cloud data ecosystems. Must keep pace with new innovation and leverage the latest tooling and agents to rapidly prototype solutions and prove value before scaling.
  • Proactive Advisory & Influence: A track record of acting as a consultative partner rather than a transactional service provider; someone who can leverage data to challenge senior executive thinking and constructively shape business outcomes.
  • Collaborative Relationship Builder: Strong interpersonal skills with a proven track record of partnering across corporate skill teams, technology partners, and external organizations.
  • Resource Orchestration: Ability to manage complex, blended teams (internal and external vendors) and design high-performing operating models during organizational change.
  • Action & output oriented. Hands on keys builder that can roll up their sleeves alongside engineering teams.
Minimum Qualifications:
  • Education: Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, Engineering, Mathematics, Business, or a related field.
  • Experience:
    • Minimum of 10 years of progressive experience in business analytics, data strategy, business intelligence, or customer insights.
    • Minimum of 5 years of experience leading and developing global, multi-tiered, or cross-functional teams of 20+ professionals (including direct employees and vendors).
    • Experience leading a technology-focused team through transformation
  • Technical & Platform Familiarity: Deep conceptual knowledge of modern cloud environments (e.g., Google Cloud Platform), automated BI semantic layers, advanced analytics workflows, and AI agents with experience successfully migrating legacy reporting into modernized platforms.
Preferred Qualifications:
  • Advanced Degree: Master's degree in Data Science, Mathematics, Engineering, or an MBA with an analytical focus.
  • Automotive or Aftersales Experience: Prior experience in dealership operations, automotive parts and service, or aftersales business dynamics.
  • Modern Methodology Certifications: Certified in modern, agile data product management, continuous delivery frameworks, or Lean methodologies.
Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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