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Manager Applied Intelligence Jobs (NOW HIRING)

Choreo

Business Process Architect

Charlotte, NC · On-site +1

Comfort operating in environments where automation and applied intelligence are embedded in daily workflows * Wealth management or RIA industry experience Employee Benefits At Choreo, we provide a ...

Choreo

Business Process Architect

Charlotte, NC

Comfort operating in environments where automation and applied intelligence are embedded in daily workflows * Wealth management or RIA industry experience Employee Benefits At Choreo, we provide a ...

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Manager Applied Intelligence information

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$11K

$100.6K

$133K

How much do manager applied intelligence jobs pay per year?

As of Jul 21, 2026, the average yearly pay for manager applied intelligence in the United States is $100,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What does an intelligence manager do?

An intelligence manager oversees the collection, analysis, and dissemination of information to support strategic decision-making within an organization. They often coordinate with data analysts, utilize intelligence tools, and ensure security protocols are followed to provide accurate insights for business or security purposes.

Are intelligence jobs high paying?

Manager Applied Intelligence roles are typically well-compensated, reflecting the specialized skills in data analysis, machine learning, and strategic decision-making. Salaries vary based on experience, industry, and location, but these positions generally offer competitive pay compared to other technology or management roles.

Which 3 jobs will survive AI?

For a Manager Applied Intelligence, roles that involve strategic decision-making, complex problem-solving, and human interaction are more likely to persist despite AI advancements. Jobs requiring emotional intelligence, creativity, and nuanced judgment—such as strategic managers, data scientists, and AI ethics specialists—are expected to remain in demand. Developing skills in AI oversight, data analysis, and leadership will help ensure job security in this evolving field.

What is the difference between Manager Applied Intelligence vs Data Analyst?

AspectManager Applied IntelligenceData Analyst
Required CredentialsBachelor's or master's in data science, analytics, or related fields; often leadership experienceBachelor's degree in statistics, mathematics, or related fields; certifications like SQL or Excel
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, consulting firms for strategic insightsCommon across industries for data-driven roles
Comparison FocusLeadership, strategy, project managementData analysis, reporting, technical skills

The Manager Applied Intelligence typically oversees data projects and leads teams, focusing on strategic implementation. In contrast, Data Analysts primarily analyze data and generate reports to support business decisions. While both roles require strong analytical skills, the manager role emphasizes leadership and project management, whereas the analyst role is more technical and detail-oriented.

What jobs in the US pay 300,000 a year?

For a Manager in Applied Intelligence, high-paying roles often include senior data science, AI director, or analytics executive positions, which can reach or exceed $300,000 annually with experience and advanced skills. These roles typically require expertise in machine learning, data management, and leadership, often supplemented by advanced degrees and certifications. Compensation varies based on industry, company size, and geographic location, with senior-level positions in technology and finance more likely to offer such salaries.
More about Manager Applied Intelligence jobs
What cities are hiring for Manager Applied Intelligence jobs? Cities with the most Manager Applied Intelligence job openings:
What are the most commonly searched types of Applied Intelligence jobs? The most popular types of Applied Intelligence jobs are:
What states have the most Manager Applied Intelligence jobs? States with the most job openings for Manager Applied Intelligence jobs include:
What job categories do people searching Manager Applied Intelligence jobs look for? The top searched job categories for Manager Applied Intelligence jobs are:
Manager Applied Intelligence jobs near you
Infographic showing various Manager Applied Intelligence job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.
Business Operations Manager, Applied AI Engineering

Business Operations Manager, Applied AI Engineering

Meta

Seattle, WA • On-site

$176K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

As the Business Operations Manager for Applied AI Engineering (AAI Eng) organization, you will be a part of the team that manages the business operations across the entire org, working closely with leadership to help them grow, scale and run the business effectively. You will manage strategic initiatives ranging from business operations, process improvement, headcount movement, and employee engagement programs, enabling our team to execute and innovate at speed.AAI Engineering's mission is to make our AI models the industry-leading by building the data engine that helps our models get better, faster.
Business Operations Manager, Applied AI Engineering Responsibilities:
  • Lead the scoping, structuring, and execution of high-priority cross-functional initiatives, from problem definition through delivery
  • Develop executive briefing materials, pre-read documents, and strategic frameworks that enable leadership to make high-quality decisions quickly in ambiguous and fast-moving contexts
  • Influence leadership teams by providing recommendations backed by data
  • Work with leadership to track progress on strategic projects, build decision-making frameworks, and ensure deliverables are on track
  • Leverage cross-functional relationships to drive company-wide touchpoints and leadership processes
  • Develop streamlined processes and mechanisms to improve operational efficiency and communication
  • Engage effectively with new teams and organizational contexts, independently identifying challenges and delivering actionable recommendations
  • Provide strategic partnership on organizational design, headcount planning, and operational model evolution in support of long-term business objectives

Minimum Qualifications:
  • Bachelor's or Master's degree in a relevant field
  • 12+ years of experience in business strategy at a leading or startup tech company and/or in strategy consulting
  • Quantitative, analytical, and conceptual problem-solving skills, combined with business acumen
  • Experience problem-solving individually and in a group setting, with an AI-first mindset
  • Demonstrated ability to navigate senior stakeholder dynamics and influence decision-making
  • Track record of leading complex, ambiguous, cross-functional initiatives from inception to delivery in large, matrixed organizations with measurable outcomes
  • Experience designing and implementing operational infrastructure that enables executive organizations to operate at scale
  • Excellent communication skills, including the ability to produce clear, well-crafted documents and presentations
  • Experience communicating complex strategic and operational content to executive audiences through written briefings, structured frameworks, and stakeholder presentations

Preferred Qualifications:
  • Background in tech, in an engineering, financial, project management, or operational capacity
  • Background in corporate strategy experience with demonstrated deployment into high-ambiguity organizational environments
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools and emerging technologies to redesign executive workflows, improve decision quality, and drive measurable operational efficiency gains
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience working with confidential information while maintaining discretion
  • B.A. or B.S. degree in business, finance, or engineering

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$176,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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