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Intelligence Manager Jobs in Michigan (NOW HIRING)

The Manager - Business Intelligence is a high-visibility opportunity to lead the Business Intelligence program, delivering CSP's analytical backbone of our new Strategy and Transformation group.

PURPOSE & FUNCTION: Intelligence Analysts perform a variety of important analytical and ... Document and route management related calls and/or provide general assistance using prescribed ...

PURPOSE & FUNCTION: Intelligence Analysts perform a variety of important analytical and ... Document and route management related calls and/or provide general assistance using prescribed ...

PURPOSE & FUNCTION: Intelligence Analysts perform a variety of important analytical and ... Document and route management related calls and/or provide general assistance using prescribed ...

BI Manager

Lansing, MI ยท On-site

Business Intelligence Team Leader; (Data Analytics Team Leader) Description: BASIC PERFORMANCE EXPECTATIONS: The Data Analytics Manager is responsible for the development of BI initiatives such as ...

Analytics Manager

Traverse City, MI ยท On-site +1

$100K - $125K/yr

The Senior Business Intelligence Manager will turn marketplace data into clear business decisions while also building the processes, standards, and technical foundation required for trusted reporting.

Analytics Manager

Traverse City, MI ยท On-site

$100K - $125K/yr

The Senior Business Intelligence Manager will turn marketplace data into clear business decisions while also building the processes, standards, and technical foundation required for trusted reporting.

Analytics Manager

Traverse City, MI ยท On-site +1

$100K - $125K/yr

The Senior Business Intelligence Manager will turn marketplace data into clear business decisions while also building the processes, standards, and technical foundation required for trusted reporting.

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

Produce monthly market intelligence reads for the Sr. Manager and Van Hoet. * Provide diagnostic input into Incentive Optimization's pullback/invest market analysis. Basic Qualifications * Bachelors ...

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Showing results 1-20

Intelligence Manager information

See Michigan salary details

$9.6K

$87.7K

$115.9K

How much do intelligence manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for intelligence manager in Michigan is $87,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $115,500.00 per year, depending on experience, location, and employer.

How does an intelligence manager typically collaborate with other departments or agencies within an organization?

Intelligence Managers regularly work cross-functionally, partnering with security, legal, operations, and executive teams to ensure actionable intelligence is shared efficiently. They coordinate briefings, manage information flow, and often serve as a liaison between internal stakeholders and external partners such as law enforcement or government agencies. Effective collaboration is crucial for timely threat assessment and strategic decision-making. Building strong relationships and clear communication channels is a key part of the role.

What does an intelligence manager do?

An intelligence manager oversees the collection, analysis, and dissemination of information to support organizational decision-making and strategic planning. They coordinate intelligence activities, manage teams, and often utilize tools like data analysis software to identify threats or opportunities. Strong analytical skills and security clearances are typically required for this role.

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

To excel as an Intelligence Manager, you need expertise in data analysis, strategic planning, and risk assessment, often supported by a background in intelligence, security studies, or a related field. Familiarity with analytical software, intelligence databases, and security clearance procedures is typically required. Strong leadership, critical thinking, and effective communication skills are crucial for managing teams and conveying complex findings to stakeholders. These skills ensure the effective collection and interpretation of intelligence to support organizational decision-making and security.

What is the difference between Intelligence Manager vs Intelligence Analyst?

AspectIntelligence ManagerIntelligence Analyst
Required CredentialsBachelor's or higher in Security, Intelligence, or related fields; often leadership experienceBachelor's degree in Criminal Justice, Security Studies, or related fields
Work EnvironmentOversees teams, manages projects, strategic planningConducts research, analyzes data, prepares reports
Employer & Industry UsageGovernment agencies, military, private security firmsLaw enforcement, intelligence agencies, corporate security
Common Search & ComparisonLeadership, management, strategic rolesData analysis, research, reporting roles

The main difference between an Intelligence Manager and an Intelligence Analyst lies in their responsibilities. The Intelligence Manager oversees teams, manages projects, and develops strategic plans, while the Intelligence Analyst focuses on researching, analyzing data, and preparing reports. Both roles require relevant credentials and are vital in security and intelligence sectors, but the Manager holds a leadership position with broader oversight.

Do intelligence manager jobs pay well?

Intelligence managers typically earn above-average salaries due to their specialized skills in data analysis, strategic planning, and security. Compensation varies by industry, experience, and location but generally includes competitive base pay and benefits. Advanced certifications and leadership experience can further increase earning potential.
What are the most commonly searched types of Intelligence jobs in Michigan? The most popular types of Intelligence jobs in Michigan are:
What cities in Michigan are hiring for Intelligence Manager jobs? Cities in Michigan with the most Intelligence Manager job openings:
Infographic showing various Intelligence Manager job openings in Michigan as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $87,659 per year, or $42.1 per hour.

Business Intelligence Manager

CSP

Auburn Hills, MI โ€ข On-site

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

The Manager - Business Intelligence is a high-visibility opportunity to lead the Business Intelligence program, delivering CSPโ€™s analytical backbone of our new Strategy and Transformation group. Reporting to the VP of Strategy and Transformation, you will be the program owner and champion of our business intelligence strategy, responsible for transforming our fragmented and manual reporting landscape into a streamlined, automated, and insightful enterprise โ€œsingle source of truth.โ€ You will partner closely with the IT Technical BI Manager, who owns development execution, while you own demand management, requirements, governance facilitation, rollout, and value realization across Finance, Operations, Sales, and Procurement. This role has frequent touchpoints and connections with our Senior Leadership Team.

This is a unique hybrid role that combines program management discipline with strong financial acumen and business partnership. Your core mission is to eliminate low-value, manual Excel reporting and empower our business leadersโ€”from the plant floor to the C-suiteโ€”with dynamic, self-service dashboards and analytics built on governed data definitions and standardized KPIs. You will be the engine that drives our transition from a culture of data gathering to a culture of data-driven decision-making by creating organizational pull for analytics, while the technical team delivers the underlying system. You will improve speed, accuracy, and trust in performance reporting by ensuring the right things get built, adopted, and measured.

This is a newly created role, offering the opportunity to shape our BI strategy, establish best practices, and influence how data is leveraged across the organization including defining the BI operating model in partnership with IT (intake, prioritization, governance, rollout and adoption).

Responsibilities:

1. Demand Manage & Roadmap Ownership:

โ€ข Serve as the โ€œfront doorโ€ for all business requests for new dashboards, reports, and analyticsโ€”filtering, scoping, and prioritizing them into a single enterprise BI roadmap so the technical team can focus on deep development work without ad-hoc interruption.

โ€ข Own the BI intake and prioritization process, balancing strategic initiatives (e.g., Monthly Business Review pack, KPI scorecards, value creation bridges) against tactical requests using a transparent scoring framework agreed with Senior Leadership.

โ€ข Own the automation of the core management reporting package, including the Monthly Business Review (MBR) pack, KPI scorecards, and value creation bridges with reliable refresh schedules, distribution, and drill-down capability.

โ€ข Challenge the status quo by identifying opportunities to automate and streamline existing reporting processes, working to decommission legacy reports building the business case and sequencing the work on the roadmap; partner with the Technical Manager on execution, while maintaining clear documentation and change control.

โ€ข Develop and maintain the BI roadmap end-to-end including milestones, dependencies, and stakeholder communications; provide regular roadmap reviews to the Senior Leadership Team.

โ€ข Track program health metricsโ€”throughput, cycle time, adoption, data quality incidentsโ€”and use them to continuously tune intake and prioritization


2. Business Partnership and Empowerment:

โ€ข Partner closely with the FP&A and Operations Finance team and senior business leaders (in Operations, Sales, and Procurement) to deeply understand their data needs and challenges and align solutions to strategic priorities.

โ€ข Convert vague business problems into clear, structured functional requirementsโ€”user stories, acceptance criteria, KPI definitions, and dashboard mockupsโ€”before handing off to the IT Technical BI Manager for development.

โ€ข Define business acceptance criteria for every BI deliverable and lead user acceptance testing with the business before release.

โ€ข Champion data literacy across the organization by training and supporting users on new BI tools, enabling a culture of self-service analytics through enablement materials, best-practice guides, and recurring office hours.

โ€ข Present findings and analytical insights to stakeholders at all levels, including senior executives, in a clear and concise manner with actionable recommendations and executive-ready narratives.

3. Data Governance. Definitions & Delivery Partnership:

โ€ข Convene business leaders across Finance, Operations, Sales, and Procurement to agree on standardized definitions for core metrics (e.g., how โ€œrevenue,โ€ โ€œactive customer,โ€ or โ€œon-time deliveryโ€ is calculated) so the technical team builds every dashboard from a single source of truth.

โ€ข Partner with the IT department to design, develop, and optimize the underlying data infrastructure (ETL processes, data Lakehouse) that feeds our BI tools and ensures scalable, maintainable pipelines.

โ€ข Act as the โ€œbusiness ownerโ€ of key financial and operational data sets, owning the definitions, governance forums, and approval workflows; the IT Technical BI Manager owns the corresponding technical implementation (data models, lineage, access controls)..

Partner with the IT Technical BI Manager to estimate development timelines, balance team workload across competing priorities, and manage delivery expectations back to business stakeholders.

โ€ข Partner with business data owners and cross-functional stakeholders to lead data validation and reconciliation efforts, leveraging analytical tables, dashboards, and visualizations developed by the Technical Team to ensure data accuracy, consistency, integrity, and alignment with business requirements and reporting standards.

โ€ข Serve as the primary liaison between Business/Finance and IT on all data-related projects, managing risks, dependencies, and stakeholder communications while the technical team focuses on execution.

4. Rollout, Adoption & Value Realization:

โ€ข Own the launch of every new dashboard and BI capabilityโ€”communications plan, training curriculum, office hours, and enablement materialsโ€”so business users can self-serve from day one.

โ€ข Champion data literacy across the organization and build a community of practice for power users; recurring training programs are owned here.

โ€ข Track adoption metrics (active users, report usage, self-service ratio) and intervene where adoption lags expectations.

โ€ข Measure and report the business impact of delivered BI projectsโ€”time saved, decisions accelerated, working capital unlockedโ€”and present ROI of the analytics program to the Senior Leadership Team on a recurring cadence.


Preferred Experience and Skills:

We are looking for a program leader with hands-on experience building a BI program from scratch, a passion for data and a proven ability to orchestrate the people, processes, and priorities required to turn complex business problems into impactful analytical solutions.

โ€ข 5-7+ years of building and leading business intelligence, data analytics, or financial systems programs, preferably within a complex manufacturing or industrial environment.

โ€ข Working knowledge of a major BI platform (Power BI strongly preferred; Tableau, QlikView also considered) sufficient to scope requirements, build mockups, and evaluate technical proposals โ€” hands-on development is owned by the IT Technical BI Manager

โ€ข Strong proficiency in SQL and a solid conceptual understanding of data modeling โ€” enough to communicate fluently with the technical team and validate that proposed solutions meet business requirements

โ€ข Solid foundation in finance and accounting principles. You must be able to understand the data you are working with (P&L, Balance Sheet, cost accounting concepts).

โ€ข Proven track running an intake/prioritization process, and translating business needs into structured requirements, and driving adoption of delivered solutions.

โ€ข Demonstrated experience facilitating cross-functional governance forums (e.g., metric definition councils, prioritization committees) and securing agreement among senior stakeholders with competing priorities.

  • Strong stakeholder management, influencing, and change-management skills to drive adoption of new reporting standards and tools
  • Experience managing data validation initiatives in collaboration with business stakeholders and data owners to ensure reporting accuracy and data governance compliance.
  • Proven ability to communicate complex analytical concepts and business insights to executive leadership and non-technical stakeholders in a clear and actionable manner.
  • Ability to work independently and collaboratively in a fast-paced environment with strong attention to detail.

Education:

โ€ข Bachelorโ€™s degree in Finance, Information Systems, Computer Science, or another quantitative field is required.

Personal Attributes:

โ€ข Data-Driven Storyteller: You have a unique ability to not just present data, but to visualize it in a way that tells a clear and compelling story.

โ€ข Influential Leader: You can build alignment across departments and influence decision-making through data, insights, and strong stakeholder relationships

โ€ข Process-Oriented Orchestrator: You thrive in designing new operating models and processes from the ground up and have a keen eye for the structures (intake, prioritization, governance) that make a cross-functional program run smoothly.

โ€ข Intellectual Curiosity: You are driven to understand the "why" behind business performance and are passionate about digging into data to find the answers.

โ€ข Collaborative Partner: You build strong working relationships with both technical and non-technical stakeholders and excel at bridging the gap between them.

โ€ข High Level of Ownership: You are a self-starter who takes pride in the quality, accuracy, and impact of your work.