Recruitment ONE

AI talent matching, Zoho CRM architecture & data infrastructure

Industry: Recruitment / HR Technology · Location: Germany and Switzerland · Role: Chief Data Officer

Overview

As Chief Data Officer, I worked on technology and data initiatives supporting a recruitment operation serving the German and Swiss markets.

Talent pipeline stages

  1. New
  2. Email Sent
  3. CV Pending
  4. CV Approved
  5. Submitted
  6. Awaiting Feedback
  7. Interview
  8. Offer

CRM architecture

Zoho CRM was selected as the primary CRM platform, with structures for Jobs / Teams and Talents, and a talent pipeline that mirrors how recruiters actually work.

AI talent matching

A semantic matching architecture was designed so candidates could be matched to jobs by meaning rather than exact keywords. Tens of thousands of talent profiles and jobs were considered within the matching architecture, and relevance could then be reranked using additional business criteria.

  • OpenAI embeddings
  • Pinecone vector database
  • Candidate profiles
  • Job descriptions
  • Skill matching
  • Location matching
  • Experience matching

Business intelligence

Power BI dashboards provided visibility into recruitment performance and operational metrics.

Infrastructure transformation

I also participated in the organization's migration from Google Workspace to Microsoft 365, together with the associated domain and DNS infrastructure changes.

Technology stack

OpenAI, Pinecone, Azure MySQL, n8n, Zoho CRM, Power BI, Microsoft 365, Cloudflare

Outcome

A structured CRM foundation, a semantic matching architecture for large talent and job datasets, and reporting that gives leadership visibility of recruitment operations.