Skills over credentials: The new formula for entering the technology market
Making a career transition to the technology sector has solidified as one of the most strategic decisions for professionals seeking growth projection, work-life balance, and the development of skills that are safeguarded for the future. However, overcoming the perceived entry barrier requires understanding that today’s labor market values practical demonstration of value above accumulated theoretical certifications.
To clarify this process of change, specialized consultants from Michael Page in Brazil, Colombia, and China have structured essential operational guidelines to successfully position themselves in the technology market.
1. Credentials lose weight against practical experience
One of the biggest questions for those aspiring to change industries is which academic titles truly guarantee access. Recruiters agree that there is no single certification or university degree that acts as a magic key. While formal education remains a valued requirement in highly regulated sectors—such as banking, the energy sector, and insurance—for specific roles in cybersecurity, project management, or network architecture, it is no longer the main competitive differentiator.
In a market that evolves at record speed, candidates who manage to capture the interest of companies are those capable of demonstrating applied skills and continuous learning agility. Currently, competencies in data analysis and Artificial Intelligence represent the greatest transversal competitive advantage, expanding beyond pure technology companies to integrate into the strategic decision-making of all types of organizations.
2. The perennial skills companies seek
Technologies and programming tools become obsolete quickly, but the demand for certain human competencies remains unchanged. Hiring managers look for profiles characterized by:
- Analytical thinking and structured problem-solving: The ability to break down a complex business challenge.
- Asertive communication and key stakeholder management: A fundamental skill to coordinate projects with teams from diverse areas.
- Business Acumen: Professionals who advance more quickly are not necessarily the best programmers or technical specialists, but those who understand the problem behind a request and know how to connect technology with the business results of the organization.
3. How to build an impactful portfolio without prior experience
For recruiters, a robust portfolio should serve as a methodological record of how the candidate solves real problems. Rather than merely listing diplomas on their resume, candidates should structure practical cases that clearly describe: the identified problem, the analysis process used, the solution implemented, and the results or learnings obtained.
Some examples of recommended projects to highlight in the context of AI and data analysis are:
- The development of intelligent recruitment assistants or corporate chatbots using generative AI.
- Designing dynamic dashboards with key metrics to support management decision-making.
- The automation of manual operational processes or analysis of public databases to formulate concrete business recommendations.
4. Critical mistakes in the application process
The Michael Page report warns that many candidates block their own progress by engaging in poor job search tactics. Recruiters identify common failures as sending out hundreds of applications en masse without studying the specific requirements of each vacancy, or structuring resumes that list software and programming languages abstractly without detailing their practical application.
Transparency regarding the level of actual knowledge and the ability to clearly communicate personal motivation behind the transition are often the factors that convince a recruitment team to bet on a profile undergoing career change.
From the perspective of next+, the global analysis by Michael Page shows that the transition to the tech sector has shifted from a model based on the accumulation of formal certificates to one grounded in direct demonstration of value and functional translation ability. For the corporate ecosystem, this reality redefines the role of human capital departments, forcing them to migrate their selection processes towards competency evaluations based on real projects and to value interdisciplinary backgrounds. Talent coming from operational, financial, or continuous improvement areas should not be seen as disadvantaged; on the contrary, their knowledge of business operations—combined with solid and proactive digital literacy—is the most valuable and scarce profile that organizations seek to incorporate to lead their digitalization processes.