Susanne Tedrick

Women of Color in Tech


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and people of color in tech. Members can access educational resources and attend local area networking/educational events.www.comptia.org

      This is not a comprehensive list of all the resources out there—there are many, many more. This is rather to point out that numerous communities exist for you to find help, guidance, and support when and where you need it.

      Number of Job Opportunities

      Source: Bureau of Labor Statistics—Occupational Outlook Handbook

JOB TITLE NUMBER OF JOBS IN THE UNITED STATES, 2016 PROJECTED GROWTH FROM 2016–2026
Software developers 1,256,200 24%
Information security analysts 100,000 28%
Computer and information systems managers (includes project managers) 367,600 12%

      Pay

      Source: Bureau of Labor Statistics—Occupational Outlook Handbook

JOB TITLE 2018 US SALARY—LOW 2018 US SALARY—HIGH
Software developer $61,660 $161,290
Web developer $37,930 $124,480
Information security analyst $56,750 $156,580
Systems architects $54,360 $142,220
Systems administrators $50,990 $130,720
Computer and information systems managers (includes project management) $85,380 $208,000
Sales engineers $58,430 $165,330
Computer and information research scientists (includes data scientists) $69,230 $183,320

      It's Fun

      Who says that work can't be fun? Tech is one of the few career fields that allows you to utilize creative-thinking skills to solve problems and create innovative solutions.

      Take the fashion industry as an example. Technology has lowered the barrier of entry in creating designs and putting them out into the market. In the past, people who created and sold their own clothing and accessories needed access to physical retail space, access to tools and people to manufacture pieces quickly and in large quantities, and ways to ensure that products reached customers when they wanted them.

      One of the things I enjoy about my profession, technical sales, is that I can use technology as a tool to help clients solve business problems. Because these problems don't follow a “one answer fits all” path, I can use both technology and a healthy degree of creativity to help clients get to their desired result. It's a lot of fun when you're drawing out sketches or wireframes of what the client is envisioning, and it's doubly rewarding when your efforts help them to be successful.

      Opportunities to Help Others

      Being a present and visible woman of color in tech can help give hope to young girls of color. Becoming a tech volunteer or mentor can have many positive effects. For you, it enhances your leadership, teaching, and communication skills, as well as refines your existing tech skills (or teaches you new ones!).

      For young girls, they can interact with positive role models that look like them or grew up in situations like theirs. Many girls don't have the good fortune to interact with women who look like them or grew up in similar backgrounds and are current technical practitioners.

      As girls of color get older, the idea of a nonwhite female software engineer or data scientist doesn't seem like a weird or foreign concept. They know that women of color in these fields are common and not an exception or anomaly. They can be confident that those career fields are accessible and possible for them.

      We Need You!

      Simply put, we need more diverse representation at all levels to address the current technological challenges our society is facing as well as future challenges.

      In the case of artificial intelligence (AI), businesses are using it more, through chatbots and other means, for low-level tasks—tasks that they believe are repetitive and do not generate a lot of money for them. By automating many of these tasks, and not requiring a lot of human interaction, businesses can save money on overhead costs, salaries, and more.

      If a bank or lender uses an AI interface alone to process a loan application, the process to approval or rejection may happen faster. But, if the development team behind the AI application inadvertently programs their own gender and race biases, applicants from specific demographics may experience higher rates of rejection or discriminatory actions than others. As the process is automatic, rarely is there a human being that you can speak