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Business Intelligence Manager Jobs in Michigan (NOW HIRING)

FastTek

Business Intelligence Specialist

Dearborn, MI · On-site

Business Intelligence Specialist #1062067 Position Description: Employees in this job function are ... Partner with PC&I Technology, transformation sponsors, PMO leads, Finance/value realization ...

Thecsp

BI Manager

Auburn Hills, MI

Responsibilities: 1 . Demand Manage & Roadmap Ownership ... Serve as the "front door" for all business requests for new dashboards, reports, and analytics ...

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Business Intelligence Manager information

See Michigan salary details

$25.7K

$99.6K

$146K

How much do business intelligence manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for business intelligence manager in Michigan is $99,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $124,200.00 per year, depending on experience, location, and employer.

What does a business intelligence manager do?

A Business Intelligence (BI) Manager oversees the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead BI teams, design data strategies, and implement systems that transform raw data into actionable insights. BI Managers collaborate with other departments to identify data needs and ensure data quality, while also presenting findings to stakeholders. Their work supports strategic planning, operational efficiency, and competitive advantage.

What does a business intelligence manager do?

A business intelligence manager uses data analysis to advise and execute decisions for a company. As a business intelligence manager, you are in charge of managing data analysts and developers. Your duties may include assessing company needs, gathering information, and reporting on industry trends to the rest of management. You also oversee performance management in your department as well. To succeed in this career, you must be skilled in data analysis and team management. You must also be good at conducting research and making suggestions to improve company processes.

What are the key skills and qualifications needed to thrive as a business intelligence manager?

To thrive as a Business Intelligence Manager, you need expertise in data analysis, data modeling, and business strategy, usually backed by a degree in a related field and experience in BI or analytics roles. Proficiency with BI tools such as Tableau, Power BI, SQL, and data warehousing systems is typically required, and certifications like CBIP can be advantageous. Strong leadership, communication, and problem-solving skills help you translate complex data into actionable insights for stakeholders. These skills are crucial for delivering data-driven strategies that support business growth and informed decision-making.

How does a business intelligence manager typically collaborate with other departments to drive data-driven decision making?

A Business Intelligence Manager regularly partners with teams such as marketing, finance, operations, and IT to identify key business questions and deliver actionable insights. The role involves leading cross-functional meetings to understand data needs, designing dashboards or reports tailored to each department, and translating complex data findings into clear recommendations. Effective collaboration ensures that BI initiatives align with organizational goals and that stakeholders are empowered to make informed decisions. Building strong relationships and maintaining open communication channels are crucial for success in this role.

What is the difference between Business Intelligence Manager vs Data Analyst?

AspectBusiness Intelligence ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, IT, or related fields; often certifications in BI toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads BI teams, manages projects, collaborates with executivesAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageUsed across industries for strategic insightsUsed for operational analysis and reporting
Common Search & Comparison IntentUnderstanding roles, responsibilities, and career pathsClarifying data analysis tasks and skills

The Business Intelligence Manager oversees BI teams and strategies, focusing on high-level data insights for decision-makers. Data Analysts primarily analyze data sets to generate reports and support operational decisions. While both roles require analytical skills and familiarity with BI tools, the manager has broader responsibilities including team leadership and strategic planning.

How much do business intelligence managers make?

Business Intelligence Managers in the US typically earn a median salary of around $100,000 to $130,000 per year, with experienced professionals and those in high-demand industries earning higher. Compensation can vary based on location, experience, certifications, and company size, and many roles require proficiency in tools like SQL, Tableau, or Power BI.

Is business intelligence still in demand?

Business Intelligence Managers are in high demand as organizations increasingly rely on data analytics to inform decision-making. Skills in data visualization tools, SQL, and data warehousing are valuable, and the role is expected to grow with the expansion of big data and digital transformation initiatives.
More about Business Intelligence Manager jobs

What are the most commonly searched types of Business Intelligence jobs in Michigan?

The most popular types of Business Intelligence jobs in Michigan are:

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For Business Intelligence Manager jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Business Intelligence Manager jobs in Michigan look for?

The top searched job categories for Business Intelligence Manager jobs in Michigan are:

What cities in Michigan are hiring for Business Intelligence Manager jobs?

Cities in Michigan with the most Business Intelligence Manager job openings:

Business Intelligence Manager jobs near you
Infographic showing various Business Intelligence Manager job openings in Michigan as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,589 per year, or $47.9 per hour.

Director, FCSD Data Analytics and Business Intelligence

Ford Motor Company

Allen Park, MI • On-site

Full-time

Posted 25 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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