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How much do entry level manager artificial intelligence jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for entry level manager artificial intelligence in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions may involve overseeing AI strategy, developing complex models, and managing teams, with compensation reflecting the seniority and impact of the role.

How much does an entry-level AI product manager make?

An entry-level AI product manager typically earns between $70,000 and $90,000 annually, depending on the industry and location. Starting salaries may also include benefits such as bonuses and stock options, and familiarity with AI tools and project management skills can influence compensation.

What is the most entry-level AI job?

An entry-level AI job often refers to roles such as AI intern, data analyst, or junior machine learning engineer. These positions typically require foundational knowledge of programming, data analysis, and basic understanding of AI concepts, often supported by relevant certifications or coursework.

What is the difference between Entry Level Manager Artificial Intelligence vs Data Analyst?

AspectEntry Level Manager Artificial IntelligenceData Analyst
Required CredentialsBachelor's in Computer Science, AI, or related field; knowledge of AI toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed in AI project management, team coordination, and AI solution deploymentUsed for data collection, interpretation, and reporting to inform business decisions

While both roles require analytical skills and a background in data or technology, Entry Level Manager Artificial Intelligence focuses on managing AI projects and teams, whereas Data Analysts primarily interpret data to support decision-making. The AI manager role emphasizes technical understanding of AI tools, while Data Analysts focus on data processing and visualization.

Can I get an AI job with no experience?

Entry level AI jobs often require some foundational knowledge of programming, data analysis, or machine learning, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or internships can improve your chances of securing an entry-level AI position without prior experience.
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Entry Level Manager Artificial Intelligence jobs near you
Infographic showing various Entry Level Manager Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $54,806 per year, or $26.3 per hour.
Artificial Intelligence Analyst

Artificial Intelligence Analyst

Municipal Credit Union

Manhattan, NY • On-site

$81K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

About MCU:

At Municipal Credit Union, we believe that an incredible culture helps create a happy and motivated team that works hard to achieve the best results for themselves and their members. For more than 100 years, MCU has provided affordable financial products and convenient services to a membership base that is now comprised of over 600,000 individuals. With each new generation we have the pleasure of interacting with, we maintain the credit union promise of people helping people.

Our Mission:

To help hard-working New Yorkers build better tomorrows

Our Vision:

Be New York's most loved financial institution by helping our members build their best financial futures

Overview: The AI Analyst is responsible for implementing, supporting, and optimizing pre-built AI solutions—such as UIPath, Copilot Studio, and other low-code platforms—to enhance operational productivity and user experience across the enterprise. This role focuses on leveraging existing AI tools and platforms, collaborating with business units to ensure successful adoption, and providing technical support for ongoing solution maintenance. The AI Analyst will also explore opportunities to integrate generative AI and data science capabilities into business processes, driving efficiency and innovation.


Responsibilities:


  • Implement and support pre-built AI solutions (e.g., UIPath, Copilot Studio) to automate workflows, improve reporting, and enhance productivity.
  • Collaborate with Business Unit Leaders, Organizational Agility, and IT teams to align solution deployment with strategic priorities and technical roadmaps.
  • Advocate for best practices in low-code application development and process design to ensure cross-functional efficiency and optimal user experiences.
  • Provide technical support, troubleshooting, and ongoing maintenance for deployed AI solutions.
  • Explore and recommend new use cases for generative AI and data science tools within the organization.
  • Develop and deliver use cases, conduct initial testing, and support user acceptance testing (UAT) for AI-enabled applications.
  • Ensure compliance with policy, procedure, and security requirements in all AI solution implementations.
  • Communicate proactively regarding platform upgrades, enhancements, and bug fixes.
  • Perform other related duties and special projects as assigned.


Requirements:


  • Bachelor’s or Master’s degree in IT, Computing Studies, Information Systems, Statistics, or equivalent work experience.
  • Experience with low-code platforms (e.g., UIPath, Copilot Studio) and familiarity with data science and generative AI solutions.
  • Ability to explain technical concepts to non-technical stakeholders.
  • Strong problem-solving, analytical, and process improvement skills.
  • Excellent customer service and relationship management abilities.
  • Ability to manage multiple projects in a fast-paced environment and meet deadlines.
  • Attention to detail and commitment to high-quality work.

Why you'll be a good fit:

Our Core Values are an integral part of who we are and who we hire. By living our Core Values, every day, we continue to attract the best and brightest talent, achieve unsurpassed results and continuously challenge ourselves to be better than yesterday. These values are at the heart of our organization and within every teammate. To be a great fit, you’ll bring the following

Results - We are passionate about winning.

Agility - We proactively anticipate, respond and pivot to ensure MCU wins.

Integrity - We operate with the highest ethical standards and highest degree of honesty.

Belonging - We cultivate a culture of inclusion and teamwork.

Ownership - We take personal responsibility and hold ourselves accountable for the results.


Why You’ll Love Working Here:

The pay range for this position is between $81,700-134,730 annually. Actual base pay offered may vary depending on a number of factors such as job-related knowledge, skills, experience, and location. Employees in this position may also be eligible for a discretionary bonus, 401(k) with an 6% employer match per pay period. Benefits for this position include Medical, vision, dental, life, and disability insurance, flexible paid time off and 11 paid holidays annually.


Municipal Credit Union (MCU) is an Equal Opportunity Employer. Municipal Credit Union provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state or local laws.

We are committed to hiring, training, cultivating, promoting, and celebrating an environment where we have a welcoming and fulfilling place for all people to call home. Diversity of race, thought, sexual orientation, age, veteran status, religion, and disability will empower us to thrive as individuals, as teams, and as an organization.