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Intelligence Director Jobs in Michigan (NOW HIRING)

Theoria Medical is a comprehensive medical group and technology company dedicated to serving patients across the care continuum, with a strong focus on the post-acute care setting. We partner with ...

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Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Staff Program Intelligence Analyst

Warren, MI · On-site

$58K - $77K/yr

Staff Program Intelligence Analyst At General Motors, our product teams are redefining mobility ... Direct the design and delivery of trusted, decision-grade dashboards, AI Agents, web applications ...

Funeral Director

Cassopolis, MI · On-site

$60K - $70K/yr

Funeral Director Salary Range: $60,000-$70,000 / Year, DOE This is an opportunity for a ... Exceptional emotional intelligence, communication skills, and cultural awareness with the ability ...

The Director promotes the social, physical, and intellectual growth of the children under his/her care and works with the School's staff to create an environment of learning while keeping parents ...

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Intelligence Director information

See Michigan salary details

$113.7K

$134.1K

$162.1K

How much do intelligence director jobs pay per year?

As of Aug 31, 2026, the average yearly pay for intelligence director in Michigan is $134,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $139,900.00 per year, depending on experience, location, and employer.

What is an intelligence director?

Intelligence Directors are senior professionals responsible for overseeing and managing intelligence operations within an organization or government agency. They lead teams that gather, analyze, and interpret information critical to national security, law enforcement, or business strategy. Their duties often include setting strategic priorities, ensuring information accuracy, and coordinating with other agencies or departments. Intelligence Directors also play a key role in risk assessment and advising leadership on potential threats and opportunities. The position requires strong analytical, leadership, and communication skills, as well as extensive experience in intelligence or related fields.

What skills and qualifications are needed to be an intelligence director?

To thrive as an Intelligence Director, you need extensive experience in intelligence analysis, strategic planning, and a relevant advanced degree in fields like international relations, security studies, or criminal justice. Familiarity with intelligence management systems, data analysis tools, and security clearance processes is typically required. Strong leadership, decision-making, and communication skills are essential for managing teams and collaborating with stakeholders. These skills and qualifications are crucial for ensuring effective intelligence operations, informed decision-making, and organizational security.

How does an intelligence director collaborate with other departments to support organizational objectives?

An Intelligence Director often works closely with various departments such as security, operations, legal, and executive leadership to ensure that intelligence insights are effectively integrated into strategic decision-making. This collaboration involves regular briefings, cross-departmental meetings, and developing actionable intelligence products tailored to each team's needs. Building strong relationships and maintaining open communication channels are key to helping other departments understand and respond to risks or opportunities identified through intelligence analysis. This collaborative approach not only enhances organizational resilience but also fosters a culture of informed decision-making.

What is the difference between Intelligence Director vs Intelligence Analyst?

AspectIntelligence DirectorIntelligence Analyst
Required CredentialsBachelor's or master's degree in intelligence, security, or related field; often with leadership experienceBachelor's degree in criminal justice, security, or related field; often entry to mid-level
Work EnvironmentLeadership roles in government agencies, military, or private security firmsOperational roles in intelligence agencies, law enforcement, or corporate security
Employer & Industry UsageUsed in government, military, and private sectors for strategic oversightUsed across agencies and organizations for data analysis and reporting

The main difference is that Intelligence Directors oversee intelligence operations and strategy, while Intelligence Analysts focus on analyzing data and producing intelligence reports. Directors have leadership responsibilities, whereas Analysts are more involved in data collection and analysis tasks.

Do intelligence director jobs pay well?

Intelligence director jobs typically offer high salaries due to the seniority, security clearance requirements, and specialized skills involved. Compensation varies by industry and organization but often includes substantial benefits and bonuses for leadership and strategic responsibilities.

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

The most popular types of Intelligence jobs in Michigan are:

What are popular job titles related to Intelligence Director jobs in Michigan?

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

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

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

What cities in Michigan are hiring for Intelligence Director jobs?

Cities in Michigan with the most Intelligence Director job openings:

Infographic showing various Intelligence Director job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $134,129 per year, or $64.5 per hour.

Director, FCSD Data Analytics and Business Intelligence

Allen Park, MI • On-site


Ford Motor Company
Motor Vehicle Manufacturing • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 526 frontline employees who took The Breakroom Quiz

12th of 45 rated automakers

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 4 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.

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.

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



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