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The VP, Applied Intelligence is a Senior leadership role accountable for setting the AI vision that defines Billtrust's next chapter. You will harness AI tools, co-worker agents, and frontier ...

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How much do applied intelligence jobs pay per year?

As of Jul 5, 2026, the average yearly pay for applied intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is an Applied Intelligence job?

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.

What jobs pay 500,000 a year in the US?

In the field of Applied Intelligence, high-paying roles such as Chief Data Officer, Chief AI Officer, or senior cybersecurity executive can reach or exceed $500,000 annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data analysis, machine learning, or cybersecurity, and often involve leadership responsibilities and strategic decision-making.

Is 40 too old to join CIA?

Applying for roles in intelligence agencies like the CIA generally does not have strict age limits, and candidates of various ages can qualify if they meet the necessary skills, experience, and security clearance requirements. Age may be considered during the background check process, but relevant experience, education, and physical fitness are often more important factors.

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 is applied intelligence?

Applied intelligence in a job context refers to the use of data analysis, machine learning, and artificial intelligence techniques to solve real-world problems and improve decision-making processes. Professionals in this field often work with tools like data analytics platforms, programming languages, and AI models to develop solutions across various industries.

Which 3 jobs will survive AI?

Applied Intelligence professionals, such as data analysts, AI specialists, and cybersecurity experts, are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and oversight of AI systems. These jobs require critical thinking, domain expertise, and ethical considerations that are difficult for AI to fully replicate. Skills in data management, programming, and understanding AI tools will enhance job security in this field.
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Applied Intelligence jobs near you
Infographic showing various Applied Intelligence job openings in the United States as of June 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $104,643 per year, or $50.3 per hour.
Mission Science & Applied Research Analyst (Multiple Disciplines) (Washington)

Mission Science & Applied Research Analyst (Multiple Disciplines) (Washington)

MISSION ONE, LLC

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Training & development
  • Vision insurance
Position Overview

Mission One is seeking Mission Science & Applied Research Analyst to embed scientific expertise into intelligence and operational mission environments. These roles are designed for scientists who can apply deep domain knowledge to real-world intelligence problems—supporting assessments related to CBRN/WMD, environmental and terrain impacts, technical validation, and long-term strategic analysis. This role bridges applied science and intelligence analysis, enabling customers to make informed decisions based on scientifically grounded insight.

Key Responsibilities
  • Apply scientific domain expertise to interpret complex intelligence indicators and data
  • Support CBRN/WMD, environmental, terrain, maritime, space, or technical assessments
  • Enhance analytic credibility through modeling, scientific baselines, and technical validation
  • Collaborate closely with all-source analysts, technical intelligence analysts, and collectors
  • Provide expert input into long‑term assessments, forecasts, and strategic products
  • Deliver clear, decision‑ready narratives that translate scientific findings for non‑scientific audiences
  • Brief senior stakeholders on scientific implications tied to mission objectives
Best‑Fit Scientific Disciplines

We welcome candidates with expertise in one or more of the following fields:

  • Agronomy / Agricultural Science
  • Behavioral Science
  • Biology
  • Cartography (scientific geospatial focus)
  • Chemistry
  • Geology
  • Hydrology
  • Imagery Science
  • Oceanography
  • Physics
  • Space Science / Atmospheric Science
Required Qualifications
  • Active security clearance
  • Bachelor’s degree in a relevant scientific discipline (Master’s or PhD often preferred depending on mission scope)
  • Demonstrated domain expertise aligned to mission requirements
  • Experience supporting national security, defense, research, or applied intelligence environments
  • Ability to translate complex scientific findings into clear, actionable intelligence narratives
  • Strong analytical writing and briefing skills
Preferred Qualifications
  • Prior government or defense contracting experience
  • Experience contributing to intelligence reporting (directly or in a support role)
  • Familiarity with classified research environments or secure analytical workflows
  • Experience collaborating with multidisciplinary intelligence teams
Typical Deliverables
  • Scientific analysis memoranda and technical assessments
  • Environmental and terrain impact studies
  • Sensor validation and technical advisory support
  • R&D support to intelligence mission sets
  • Scientific briefings and expert advisory products
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