Data Classification Standards and Definitions Partner, Talent Acquisition and Listening

Location: Budapest, Hungary; hybrid working

Salary: HUF 15,680,000–23,520,000 per year

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines through science and innovation.

What you will do

• Translate governance decisions into trusted data assets for Talent Acquisition and employee listening.
• Maintain data catalogs, business glossaries, lineage, data classifications, sharing agreements, and quality rules.
• Investigate root causes of data quality issues in Workday Talent Acquisition and Qualtrics and recommend configuration improvements.
• Partner on master data entities and data modeling so TA and Listening models reflect business and governance needs.
• Apply GDPR principles and data sensitivity classifications to candidate and employee survey data, collaborating with the Data Protection Officer when needed.
• Support global process owners and data teams while running the TA and Listening Partners community of practice.

Requirements

• Experience in data governance or data management involving Workday and/or survey platforms.
• Understanding of recruitment and employee listening processes.
• Experience with data classification, cataloging, business glossary management, and data catalog tools such as Informatica, Collibra, Alation, or Microsoft Purview.
• Strong data analysis, root cause analysis, stakeholder management, and communication skills across global teams.
• Workday HCM certification, specifically in the Talent Acquisition/Recruiting module.
• Fluent English required; the role is based in Budapest with hybrid office attendance. Understanding of GDPR and data classification sensitivity for candidate and employee data is required.

Nice to have

• Additional languages for global collaboration.
• Experience facilitating communities of practice.

Culture & Benefits

• International environment with opportunities to develop talent and implement ideas.
• Supportive, future-focused team working on digital- and AI-powered business transformation.
• Frequent training and opportunities to reinforce professional skills.
• Inclusive workplace committed to equal opportunities and diverse backgrounds.