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Learning Manager Jobs in Connecticut (NOW HIRING)

ATIA Ltd

HR Manager - Internship

Hartford, CT

Learning Management System (LMS), * 5.Document Management System (DMS), * 6. Service Desk Plus (SDP), * 7.Service Management Systems (SMS), * 8.Business Continuity Management Systems (BCMS), * 9.

Priceline

Learning & Knowledge Associate

Norwalk, CT · Hybrid

$70K - $85K/yr

Learning & Knowledge Associate We pride ourselves on Customer Care at Priceline. And our team ... Triage and manage Jira tickets from global support sites, ensuring requests are prioritized and ...

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All JobsLearning JobsLearning Manager JobsLearning Manager Jobs in Connecticut

Learning Manager information

See Connecticut salary details

$29.5K

$73.6K

$123.7K

How much do learning manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for learning manager in Connecticut is $73,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $83,200.00 per year, depending on experience, location, and employer.

What is a learning manager?

A learning manager creates training opportunities for employees who want to focus on skills development and job advancement. As a learning manager, your duties include assessing the needs of a company or organization, planning training programs, and working with third-party educators to meet the company’s needs. You may also assist employees seeking to change their career path. Qualifications for the job vary depending on employer needs, but you typically need a bachelor’s degree in human resources, business management, or a similar field and relevant work experience.

What are the key skills and qualifications needed to thrive as a learning manager, and why are they important?

To thrive as a Learning Manager, you need expertise in instructional design, curriculum development, and adult learning principles, often supported by a degree in education, HR, or related fields. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and assessment platforms is typically required. Strong leadership, communication, and project management skills help Learning Managers effectively lead teams and engage stakeholders. These skills ensure the design and delivery of impactful learning programs that drive organizational growth and employee development.

What is the difference between Learning Manager vs Training Coordinator?

AspectLearning ManagerTraining Coordinator
CredentialsBachelor’s degree in Education, HR, or related field; often requires experience in learning and developmentBachelor’s degree in Business, Education, or related field; certifications like ATD or CPTD are common
Work EnvironmentOversees learning programs across departments, strategic planning, manages teamsCoordinates training sessions, schedules, and logistics, often works directly with trainers and employees
Employer & Industry UsageUsed in corporate, educational, and nonprofit sectors for strategic learning initiativesCommon in corporate settings for organizing and implementing training activities

The Learning Manager focuses on developing and overseeing comprehensive learning strategies, while the Training Coordinator handles the logistics and execution of training sessions. Both roles are essential in employee development but differ in scope and responsibilities.

What are the main challenges learning managers face when implementing new training programs across multiple departments?

Learning Managers often encounter challenges such as aligning training content with diverse departmental needs, ensuring consistent participation, and measuring the effectiveness of programs across various teams. Coordinating with department heads to customize learning solutions, managing scheduling conflicts, and integrating feedback for continuous improvement are common aspects of the role. Success in this area requires strong communication, project management skills, and the ability to adapt training strategies to different learning styles and business objectives.

What is a learning manager?

A Learning Manager is a professional responsible for designing, implementing, and overseeing training and development programs within an organization. They assess learning needs, create educational materials, and ensure that employees have access to the resources required for professional growth. Learning Managers often collaborate with subject matter experts and use various technologies to deliver effective training. Their goal is to enhance workforce skills, improve performance, and support organizational objectives.
More about Learning Manager jobs

What are the most commonly searched types of Learning jobs in Connecticut?

The most popular types of Learning jobs in Connecticut are:

What are popular job titles related to Learning Manager jobs in Connecticut?

For Learning Manager jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Learning Manager jobs in Connecticut look for?

The top searched job categories for Learning Manager jobs in Connecticut are:

What cities in Connecticut are hiring for Learning Manager jobs?

Cities in Connecticut with the most Learning Manager job openings:

Learning Manager jobs near you
Infographic showing various Learning Manager job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, 3% Temporary, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $73,610 per year, or $35.4 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

Full-time

Posted 25 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply