1

Manager Applied Intelligence Jobs (NOW HIRING)

As our Manager, Applied Intelligence you will... Lead the performance reporting and analysis for various client engagements, including traditional, digital, and social media programs. The goal is to ...

As our Manager, Applied Intelligence you will... Lead the performance reporting and analysis for various client engagements, including traditional, digital, and social media programs. The goal is to ...

As our Manager, Applied Intelligence you will... Lead the performance reporting and analysis for various client engagements, including traditional, digital, and social media programs. The goal is to ...

As our Manager, Applied Intelligence you will... Lead the performance reporting and analysis for various client engagements, including traditional, digital, and social media programs. The goal is to ...

The VP, Applied Intelligence is a Senior leadership role accountable for setting the AI vision that ... Organization Building & Talent Recruit, develop, and retain a high-caliber team of product managers ...

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We partner ... About the Role We're hiring Engineering Managers to lead teams within our Applied AI organization.

We are seeking an experienced and visionary Senior Manager, Applied Science to lead the development ... Viant uniquely combines proprietary content intelligence, household-level identity resolution, and ...

next page

Showing results 1-20

Manager Applied Intelligence information

See salary details

$11K

$100.6K

$133K

How much do manager applied intelligence jobs pay per year?

As of Jul 20, 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:
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.
Manager, Applied Intelligence

Manager, Applied Intelligence

MERGE

Raleigh, NC • Hybrid

Other

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


Job description

As our Manager, Applied Intelligence you will...

Lead the performance reporting and analysis for various client engagements, including traditional, digital, and social media programs. The goal is to maximize our clients' return on marketing investment through ongoing program measurement, disciplined in-market testing, and results-based performance management. 

Be Accountable and Responsible

  • Work closely with clients to understand measurement and reporting needs, bring thought leadership, and tailor viable web analytics solutions, visualizations, and analytics models
  • Proactive at performing exploratory data analysis to understand patterns, identify business drivers, and unearth insights to fuel optimization to improve customer experiences
  • Be an expert at creating innovative solutions to solve complex business problems and guide digital transformation for brands across different industries
  • Be responsible for owning all aspects of A/B testing from test design to delivering learnings and passionate about harvesting a strong testing culture
  • Be the day-to-day analytics resource on multiple client workstreams 
  • Have the ability to partner with cross-functional teams and manage time efficiently across multiple projects
  • Define, drive, and track key performance indicators and success metrics for marketing content/experiences and web development operations
  • Be adept at communicating and representing results of analysis in a simple way to clients

These are the qualifications we're looking for

  • 5-7 years of digital analytics experience with at least 2+ years of experience designing Adobe Analytics or Google Analytics solutions, tagging via Adobe Launch or Google Tag Manager
  • 5-7 years of experience in digital measurement, strategic planning, analysis, quantitative research, data modeling, and/or management consulting work in a data-driven environment 
  • 5-7 years of hands-on experience using data to conclude and presenting to clients and then proposing a learning agenda
  • Bachelor's Degree in related discipline or equivalent experience
  • Experience in engaging in constructive dialogues with client partners
  • Experience managing and mentoring data analytics teams
  • Advanced Excel or Google Sheets experience, proficiency with PowerPoint, and comfortability with Google Workspace
  • Functional understanding of HTML, CSS, and JavaScript for analytics and marketing tagging purposes
  • Knowledge of statistics: hypothesis setting, experimental design, modeling, etc.
  • Proficient in applying shared learnings across client engagements
  • Exposure to Customer Data Platforms (CDPs), Customer Relationship Management (CRM) or Data Management Platforms (DMPs)
  • Strong understanding of digital marketing channels including Email, Display, Paid Search, and Social Media Marketing
  • Self-starter with a solution-oriented mindset and experience communicating with clients and cross-functional internal teams 
  • Exposure to retail, financial, or health industry is a plus
  • Basic proficiency with SQL, Python, or R is a plus
  • Familiarity with Data Cloud Platforms (e.g. Google BigQuery) is a plus
  • Understanding of best practices in web/app tracking and implementation and campaign tracking expertise is a plus

#LI-JK1

#LI-HYBRID

At MERGE, we're committed to fostering an environment where our team members can thrive in both their careers and personal lives, ensuring they feel supported and empowered to succeed.

MERGE is proud to invest in benefits that includemeaningful Medical, Dental, Vision, Life Insurance, 401K, Lifestyle Spending Account, Employer Paid Life & Disability Insurance, Flexible Time off & Holidays plus many other benefits and rewards.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.