12+ years experience in a technology that launched a year ago lol

Summary

Technology companies are requesting unrealistic experience, such as 12 years of expertise for a role involving technology that was only launched a year ago.

Unrealistic Expectations in Job Listings

A recent job posting for a data science analyst role requires over 12 years of experience with agentic layer A2A frameworks and MCP protocol, technologies that Google launched on April 9, 2025. Additionally, the position asks for expertise in vector embeddings, prompt engineering, Azure functions, container apps, and programming languages like Python, Java, and Go, implying a broad scope of skills for a single role.

Implications for the BI Job Market

This type of job listing highlights a broader trend in the job market where employers have unrealistic expectations of candidates, especially in the rapidly evolving fields of data science and business intelligence. This trend can discourage BI professionals and leads to a mismatch between skills and expectations. It also means that other candidates, who may not possess all required skills, could be excluded from opportunities based on these unrealistic criteria.

Adjusting to New Candidate Expectations

BI professionals need to stay aware of the ever-growing list of requirements in job postings and prepare by specializing in specific areas of expertise. It is important to develop skills that are currently in high demand in the market, such as AI and machine learning, while also remaining realistic about the expectations set by employers.