If you want a good job to solve all the problems in your life, you have to abandon the notion that only a good degree opens all doors. If it were, you wouldn’t see any unemployed graduates from Harvard. The issue that arises here is how much you have developed yourself in the field you want to work in, how you reflect this development.
Today, after brushing aside the diploma cliché, we’re going to take a closer look at jobs in the tech industry outside the engineering fields where a degree is most needed. Today, Google doesn’t just fill its engineering cadres with people who have studied engineering, although it will be a somewhat classic example.
Is it possible to build a career in the technology sector that is not just about engineering, even though it is related to engineering?
Quality Assurence Menager:
Quality is what technology companies care most about between. In fact, although most quality assurance officers have engineering backgrounds, we can see people coming from outside the field also taking on a role in this position. In general, we can define it as a process authority that speaks of managerial skills, understanding of quality and abilities such as “looking from the consumer’s point of view”.
Apart from engineering, those who are experts in fields such as economy, finance, business, finance can go here. According to the company’s sector, even communication workers can specialize in quality assurance and come to these positions.
In the technology sector, things go in parallel with scientific studies. Data scientists are among the biggest needs of companies that direct technological developments. These people are responsible for analyzing and channeling the information correctly. There are very few companies in our country that will work as data scientists. Data scientists have been a go-to for big tech companies. In addition, they are the source of work areas such as R&D.
In addition to graduating from engineering or a different computer field, it is sufficient to have education in departments such as statistics to become a data scientist. You can become a data scientist with the expertise you will gain. Generally, the criterion for this specialization is master’s or doctoral education. It can be said that reaching these stages is relatively more difficult than engineering. Indeed, data scientists are paid high salaries, as they can work for many companies at the same time.
Product manager, product development manager (Product Manager):
From the design stage of a product to the production stage The people who follow up from there to the marketing stage are the production managers. Although it requires knowledge of any technical dimension, companies appoint people with high analytical intelligence, whose infrastructure they see as more robust. Educational background is usually not of great importance, it is experience in business life that counts. While product managers may have engineering backgrounds in R&D or design, those in marketing may have different educational backgrounds. Even a specialization from communication faculties or economic and administrative sciences will be valid.
Product managers are closely concerned with how products are presented to consumers.
These people who actually appear to be a lowly rank of data scientists They work a little differently than scientists. Their purpose is to identify appropriate analytical pathways for data analysis solutions. In a way, if the doctor in the hospital is the data scientist, the analytics manager is like the nurse.
Again, people who have developed themselves in research and analysis outside the fields of engineering and who have come to the level of graduate education in departments such as finance or economics can easily apply.
People who decide which technologies to use while doing a job are architects. Their aim is to accurately determine the technology flow between teams, to save companies money. Engineering fields are very close to this field of study, but a software developer or technician can also be a solution architect.