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Intelligence Director Jobs in Michigan (NOW HIRING)

Funeral Director

Cassopolis, MI ยท 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 ...

Serve as Burton's senior cultural intelligence leader, deeply connected to Gen Z culture, emerging ... Partner with Product Creative Director to establish creative direction for major moments where ...

Serve as Burton's senior cultural intelligence leader, deeply connected to Gen Z culture, emerging ... Partner with Product Creative Director to establish creative direction for major moments where ...

Director, Information Technology

Novi, MI ยท On-site

$141.90 - $222.86/hr

This position oversees enterprise applications, ERP platforms, business intelligence, software ... Direct the planning, implementation, and support of enterprise infrastructure, including networks ...

The Assistant Director assists in the promotion of the social, physical, and intellectual growth of the children Our Assistant Directors are: * Accountable! Ensure the school is operating in ...

The Assistant Director assists in the promotion of the social, physical, and intellectual growth of the children Our Assistant Directors are: * Accountable! Ensure the school is operating in ...

The Assistant Director assists in the promotion of the social, physical, and intellectual growth of the children Our Assistant Directors are: * Accountable! Ensure the school is operating in ...

Showing results 21-40

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 21, 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 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 2% As Needed, 77% Full Time, 14% Part Time, 3% Temporary, 3% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $134,129 per year, or $64.5 per hour.

Director, Product Management - Data Intelligence Foundation (Detroit)

Relativity

Detroit, MI โ€ข On-site

Full-time

Posted 3 days ago

New


Job description

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence. The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role. The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and RequirementsWhat youโ€™ll ownThe full PM layer across multiple engineering orgs
  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams can build on with confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structure determines how easily the organization can navigate between slow data and fast data use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodes meaning: what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications
  • 12+ years in product management; 5+ years leading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an

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