As of August 2026, the average salary for Lead at Kablelink Communications in the United States is $162,193 per year, which is equivalent to an hourly rate of approximately $78. Most salaries for this position fall within the range of $149,752 to $177,340 annually.
View detailed salary information by job role at Kablelink Communications. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$758,781 / year
Salary Range: $581,245 - $955,472
Executive
$442,642 / year
Salary Range: $348,914 - $560,748
Executive
$442,642 / year
Salary Range: $348,914 - $560,748
Executive
$129,166 / year
Salary Range: $117,939 - $138,233
Information Technology
$119,289 / year
Salary Range: $102,761 - $136,732
Sales
$118,892 / year
Salary Range: $107,838 - $131,832
Finance
$117,601 / year
Salary Range: $105,505 - $126,488
Surgical
$113,462 / year
Salary Range: $102,685 - $124,535
Management
$111,779 / year
Salary Range: $102,250 - $119,981
Information Technology
$104,416 / year
Salary Range: $90,879 - $113,518
Operations
$103,925 / year
Salary Range: $93,737 - $113,594
Project Management
To succeed and maximize your earning potential as a Lead at Kablelink Communications, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Machine Learning | Using mathematical models, data, and algorithms to help a computer learn without direct instruction. | |
| Algorithms | Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. | |
| Python | Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements. | |
| Data Science |
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
|
|
| Deep Learning |
Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
|
Understanding the career path for an Lead can help you plan long-term professional growth. Below is a typical career progression for an Lead, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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