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Application development team lead job growth summary. After extensive research, interviews, and analysis, Zippia's data science team found that:
The projected application development team lead job growth rate is 21% from 2018-2028.
About 284,100 new jobs for application development team leads are projected over the next decade.
Application development team lead salaries have increased 10% for application development team leads in the last 5 years.
There are over 32,667 application development team leads currently employed in the United States.
There are 206,817 active application development team lead job openings in the US.
The average application development team lead salary is $107,381.
| Year | # of jobs | % of population |
|---|---|---|
| 2021 | 32,667 | 0.01% |
| 2020 | 32,198 | 0.01% |
| 2019 | 20,171 | 0.01% |
| 2018 | 18,937 | 0.01% |
| 2017 | 17,886 | 0.01% |
| Year | Avg. salary | Hourly rate | % Change |
|---|---|---|---|
| 2025 | $107,381 | $51.63 | +3.4% |
| 2024 | $103,843 | $49.92 | +2.3% |
| 2023 | $101,492 | $48.79 | +1.8% |
| 2022 | $99,700 | $47.93 | +1.7% |
| 2021 | $98,025 | $47.13 | +1.9% |
| Rank | State | Population | # of jobs | Employment/ 1000ppl |
|---|---|---|---|---|
| 1 | District of Columbia | 693,972 | 684 | 99% |
| 2 | Montana | 1,050,493 | 575 | 55% |
| 3 | South Dakota | 869,666 | 435 | 50% |
| 4 | Alaska | 739,795 | 360 | 49% |
| 5 | Minnesota | 5,576,606 | 2,662 | 48% |
| 6 | Rhode Island | 1,059,639 | 495 | 47% |
| 7 | North Dakota | 755,393 | 341 | 45% |
| 8 | Virginia | 8,470,020 | 3,409 | 40% |
| 9 | Washington | 7,405,743 | 2,973 | 40% |
| 10 | Utah | 3,101,833 | 1,189 | 38% |
| 11 | Nebraska | 1,920,076 | 724 | 38% |
| 12 | Delaware | 961,939 | 365 | 38% |
| 13 | Vermont | 623,657 | 238 | 38% |
| 14 | Oregon | 4,142,776 | 1,438 | 35% |
| 15 | Arkansas | 3,004,279 | 1,029 | 34% |
| 16 | Georgia | 10,429,379 | 3,473 | 33% |
| 17 | Kansas | 2,913,123 | 963 | 33% |
| 18 | New Mexico | 2,088,070 | 690 | 33% |
| 19 | Maryland | 6,052,177 | 1,950 | 32% |
| 20 | Iowa | 3,145,711 | 1,002 | 32% |
| Rank | City | # of jobs | Employment/ 1000ppl | Avg. salary |
|---|---|---|---|---|
| 1 | Alpharetta | 1 | 2% | $105,087 |
Nova Southeastern University
Rider University
Dr. Frank Mitropoulos Ph.D.: As we look toward the future of careers in Computer Applications, several skills stand out for their growing importance. These skills revolve around specific technologies that are expected to continue to grow and evolve. Technologies related to Cloud Computing, Artificial Intelligence (AI), Cybersecurity, and Data Science are quickly evolving and being applied across the technology sector. Cloud Computing: Given the widespread adoption of Cloud services, Cloud computing expertise is indispensable. Understanding how to leverage platforms like Azure, AWS, and Google Cloud is crucial to developing scalable, efficient solutions that meet business needs. Artificial Intelligence: AI and Machine Learning are transforming the world. Skills in these areas to solve real-world problems will be even more critical in the future. Cybersecurity: Digital threats are becoming more sophisticated. Safeguarding data, networks, and systems will require encryption, intrusion detection, development, and regulation skills. Data Science: Skills in Data Science will be increasingly sought after as businesses embrace data-driven decision-making. Extracting meaningful insights from extensive datasets and effectively communicating these findings will be essential. Soft skills: Finally, soft skills such as teamwork, problem-solving, and effective communication cannot be overlooked. Adapting, communicating, and leading will be essential for success.
Rider University
Information systems
Dr. Howard Rees: Hmm, what technology? That's a question with many different levels of context. For some undergraduates in CS and IT, I would look at systems programming in massively parallel environments, application programming with particular focus on security and privacy, and data science and analytics. For other undergraduates, they might look at artificial intelligence and machine learning, for business applications especially. AI is becoming ubiquitous throughout the business, but it's often used as a "black box."
Meaning that the applications (and those "operating" them) do not understand what's happening inside. AI systems are often "designed, trained, and tested" by the provider and certified as generating the output most desired by the customer but only in a statistical sense. There is no "proof" that the AI black box is, with certainty, doing what the business customer (or the provider for that matter) thinks it is doing - it just does a good job when tested on data. There will be a significant need for tech-savvy people to design, train, monitor, and apply them so that they do not deviate from the desired goals. Such deviations can result in socially destructive business practices. As you can't properly manage what you don't understand, there is a risk in using AI too blindly. CS and IT graduates will need to help out.