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Intelligence Manager Jobs in Wisconsin (NOW HIRING)

慨正橡扯

WI · On-site

$120 - $160/hr

Establish frameworks for governance, reuse, and lifecycle management of intelligence assets * Ensure solutions are scalable, secure, and aligned with domain standards * Promote consistency in how ...

TTEC

Talent Intelligence Lead - German

Krakow, WI

Talent Intelligence Lead - German Apply now Save jobSaved job German speaking Talent Intelligence ... Build and manage strategic relationships with Universities and higher education institutions ...

Nightwing Intelligence Solutions, LLC

WI · On-site

$100 - $130/hr

... intelligence mission support services to meet our customers' most demanding challenges. Our ... Nightwing isseeking a Project Manager with strong product-oriented thinking and technical aptitude ...

US Bank

Business Intelligence Architect

Milwaukee, WI · On-site

$119K - $140K/yr

Supports overall project management and business strategy related to business intelligence. Identifies and communicates to resolve and eliminate data quality issues. Successful applicants will ...

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Intelligence Manager information

See Wisconsin salary details

$11.1K

$101.5K

$134.2K

How much do intelligence manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for intelligence manager in Wisconsin is $101,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $133,700.00 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 Wisconsin? The most popular types of Intelligence jobs in Wisconsin are:
Intelligence Manager jobs near you
Infographic showing various Intelligence Manager job openings in Wisconsin as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $101,514 per year, or $48.8 per hour.

Chief Intelligence Solution Architect

慨正橡扯

WI • On-site

$120 - $160/hr

Other

Posted 4 days ago

Job description

Chief Intelligence Solution Architect

We are seeking an S5 Chief Intelligence Solution Architect to define and integrate the next generation of intelligence systems that power decisions across the Personal Wealth (PW) business and U.S. Direct Investor (USDI) CX domains. This leader will operate within a mature and evolving ecosystem of existing analytic solutions, intelligence products, and digital experiences—aligning and advancing them into a cohesive, scalable intelligence architecture across PW and USDI. The role is accountable for ensuring that analytics, AI, and data capabilities are intentionally designed to feed, enable, and scale digital products that deliver intelligence to business crews, product owners, analysts, clients, and AI agents.

Why This Role Matters

Personal Wealth and USDI already have strong analytic capabilities and emerging intelligence products. The opportunity—and challenge—is to connect them into a unified system. This role ensures that analytics becomes the engine powering digital products, client experiences, and AI-driven decisions across PW and USDI, unlocking greater scale, consistency, and business impact.

1. PW & USDI Intelligence Architecture (Integrate, Not Replace)
  • Define and evolve the end-to-end architecture for intelligence systems across PW and USDI, spanning data, analytics, AI/ML, and decision layers
  • Recognize and leverage existing analytic solutions and products, aligning them into a unified ecosystem rather than rebuilding in isolation
  • Establish standards for semantic consistency, data models, and reusable intelligence components
2. Solution Alignment & Ecosystem Orchestration
  • Act as the architectural integrator across multiple analytic solutions and platforms, ensuring they connect, interoperate, and compound value
  • Align roadmaps so that existing and new analytic solutions intentionally produce outputs (signals, insights, predictions) that feed into shared intelligence and digital products
  • Promote modular, interoperable design patterns to reduce fragmentation
3. Digital Product Enablement
  • Partner with digital and product teams to identify, formalize, and scale intelligence-enabled digital products
  • Ensure analytic and AI systems are architected to directly support digital product delivery, not just offline analysis
  • Design pipelines and interfaces that enable real-time or near real-time intelligence delivery into products and workflows
4. Roadmap Integration & Strategy
  • Own the integrated architecture roadmap across PW and USDI, aligning:
    • Analytic solution roadmaps
    • Platform and engineering investments
    • Digital product delivery timelines
  • Ensure investments are coordinated and sequenced to maximize business impact
5. Decision Intelligence Enablement
  • Drive the shift from fragmented insights to connected, decision-oriented intelligence systems
  • Ensure outputs are standardized, explainable, and actionable, enabling both human and AI-driven decisions
  • Embed intelligence into operational workflows, client journeys, and automated systems
6. Cross-Functional Leadership
  • Partner across analytics, engineering, product, UX, and business leadership
  • Influence stakeholders to move from solution-level optimization to ecosystem-level value creation
  • Advance intelligence maturity and integration across PW and USDI
7. Governance, Scalability, and Trust
  • Establish frameworks for governance, reuse, and lifecycle management of intelligence assets
  • Ensure solutions are scalable, secure, and aligned with domain standards
  • Promote consistency in how intelligence is defined, measured, and consumed
What Success Looks Like
  • Existing analytic solutions are intentionally connected into a coherent intelligence ecosystem, not siloed
  • Digital products consistently draw from shared, trusted intelligence layers
  • Clear lineage from data > analytics > intelligence > product/decision experience
  • Measurable improvement in decision quality, speed, and adoption across crews, clients, and AI agents
Qualifications
  • 10+ years in analytics, AI/ML, data architecture, or solution architecture
  • Experience in complex, multi-solution environments, aligning across platforms, teams, and business domains
  • Proven ability to drive roadmap alignment and integration at scale
Product & Delivery Leadership
  • Strong product management mindset, with experience translating business needs into scalable, user-oriented solutions
  • Demonstrated project/program management capability to lead complex, cross-functional initiatives with multiple dependencies
  • Ability to manage end-to-end solution lifecycle from concept through delivery and adoption
Technical Consulting & Execution
  • Strong background in technical consulting, solution design, and delivery execution in analytics or AI environments
  • Ability to bridge business, product, and engineering perspectives, ensuring solutions are both technically sound and outcome-driven
  • Experience delivering production-grade analytics/AI capabilities embedded in digital products
Technical & Functional Expertise
  • Deep understanding of data ecosystems, analytics pipelines, AI/ML systems, and digital product integration
  • Experience with API-driven, modular, and platform-based architectures
  • Strong grasp of analytics as a driver of product experiences and client value, not just reporting
Leadership & Influence
  • Ability to align and simplify across highly distributed teams and solutions
  • Strong executive communication and cross-functional influence
  • Track record of driving coherence from fragmented capabilities
Special Factors Sponsorship

Vanguard is not offering visa sponsorship for this position.

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