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Applied Intelligence Jobs in Arizona (NOW HIRING)

Accenture

CFOEV Senior Manager - PRD

Scottsdale, AZ · On-site

$132K - $338K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Creating, Defining Finance Centers of Excellence, automating processes through robotics or applied intelligence, machine learning) * Reporting and analytics including visualizations, dashboards ...

Pae

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated understanding of how emerging technologies are being applied to the GEOINT discipline, including familiarity with data science principles, integration of Artificial Intelligence/Machine ...

Applied Materials

Manufacturing Engineer

Tempe, AZ · On-site

$100K - $137K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Intellectual property, confidentiality, ISO, safety and others as required. Ensures that the ...

Applied Materials

Install Coordinator

Phoenix, AZ · On-site

$68K - $93K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Maintain compliance with company policies related to engineering documentation, intellectual ...

Applied Materials

Senior Director, Operations

Tempe, AZ · On-site

$180K - $247K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... intelligence applications, and smart factory initiatives. * Develop and execute manufacturing ...

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All JobsApplied Intelligence JobsApplied Intelligence Jobs in Arizona

Applied Intelligence information

See Arizona salary details

$42.4K

$97.5K

$134.2K

How much do applied intelligence jobs pay per year?

As of Aug 15, 2026, the average yearly pay for applied intelligence in Arizona is $97,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $110,400.00 per year, depending on experience, location, and employer.

What is an applied intelligence?

An Applied Intelligence job focuses on leveraging data, analytics, AI, and automation to solve business challenges and drive decision-making. Professionals in this role work with advanced technologies to analyze trends, optimize processes, and improve efficiency. They collaborate with teams across various industries to develop data-driven strategies and innovative solutions. Typical responsibilities may include machine learning model development, data visualization, and business intelligence reporting. This role is ideal for individuals with strong analytical, problem-solving, and technical skills.

Are applied intelligence jobs high paying?

Applied intelligence jobs often offer competitive salaries due to the specialized skills required, such as data analysis, machine learning, and cybersecurity. Compensation varies based on experience, education, and location, but these roles generally provide above-average pay within the tech and intelligence sectors.

What are the typical projects and responsibilities for an applied intelligence role?

In an Applied Intelligence role, you will typically work on projects that involve analyzing large datasets, developing predictive models, and generating actionable insights to solve real business challenges. Daily responsibilities may include collaborating with cross-functional teams, building dashboards and reports, and presenting findings to stakeholders. You'll often partner closely with IT, marketing, operations, and executive leadership to ensure that data-driven recommendations align with organizational objectives. This role offers exposure to various industries and processes, making it ideal for those interested in both analytics and business strategy. Over time, strong performers can advance to leadership positions or specialized roles in data science or business analytics.

What are the key skills and qualifications needed to thrive in the applied intelligence position, and why are they important?

To thrive as an Applied Intelligence professional, you need a strong background in data analytics, problem-solving, and business strategy, often with a degree in computer science, engineering, or a related field. Familiarity with data analysis tools (like SQL, Python, R), business intelligence platforms (such as Power BI or Tableau), and certifications in analytics or project management are commonly required. Excellent communication, adaptability, and collaborative skills are essential to translate complex insights into actionable business solutions. These skills are crucial for effectively driving data-driven initiatives that help organizations achieve strategic goals.

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

The most popular types of Applied Intelligence jobs in Arizona are:

What are popular job titles related to Applied Intelligence jobs in Arizona?

For Applied Intelligence jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Applied Intelligence jobs in Arizona look for?

The top searched job categories for Applied Intelligence jobs in Arizona are:

What cities in Arizona are hiring for Applied Intelligence jobs?

Cities in Arizona with the most Applied Intelligence job openings:

Applied Intelligence jobs near you
Infographic showing various Applied Intelligence job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $97,516 per year, or $46.9 per hour.

Cyber Intelligence Lead with Security Clearance

MANTECH

Chandler, AZ • On-site

Other

Re-posted 23 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 244 rated software companies

Job description

MANTECH seeks a motivated, career, and team-oriented Cyber Intelligence Lead to support a DHS customer in Chandler, AZ OR the National Capital Region. As part of this mission, you will help the organization maintain its prestigious designation as a Cybersecurity Service Provider (CSP) and Center of Excellence (COE). Our team provides comprehensive, 24/7/365 security services supporting an expansive network across LANs, WANs, and advanced Cloud-based infrastructures. This is a unique opportunity to utilize a "kill chain" process to thwart Advanced Persistent Threats (APT) and implement cutting-edge technologies like Zero Trust Architecture, AI/ML risk mitigation, and Post-Quantum Computing readiness. Key Responsibilities: * Implement strategic, tactical, and applied intelligence methodologies for the mission.
* Conduct link analysis of technical data to identify attack trends and timing.
* Develop and distribute tailored Course of Actions (COAs) and countermeasures.
* Maintain the "TOP 10" threat list for organizational data, missions, and employees.
* Provide threat briefings to senior-level management and the C-suite.
* Utilize "kill chain" processes to thwart Advanced Persistent Threats (APT).
* Implement cutting-edge technologies including Zero Trust and AI/ML risk mitigation. Required Qualifications: * Must possess a Bachelor's Degree in Computer/Engineering Science, Information Systems, Cybersecurity, or related field OR 10+ years of work experience in Cybersecurity engineering
* 7+ years of intelligence-related experience, including Intelligence Community (IC) roles.
* Certification: CISM, CySA+, or GCIA.
* Additional Certification: CFR, Network+, Security+, or CEH.
* Deep knowledge of MITRE ATT&CK, D3FEND, and the Diamond Model. Preferred Skills: * Experience with post-quantum computing assessment/implementation Clearance Requirements * Must be a U.S. Citizen.
* Active Top-Secret clearance with SCI eligibility.
* Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability. Physical Requirements: * Must be able to remain in a stationary position 50% of the time.
* Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers and customers.

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